CN108986873A - A kind of retrospective diagnosis and treatment data processing method and system - Google Patents
A kind of retrospective diagnosis and treatment data processing method and system Download PDFInfo
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- 238000011282 treatment Methods 0.000 title claims abstract description 242
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- 238000003745 diagnosis Methods 0.000 claims abstract description 216
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Abstract
The present invention provides a kind of retrospective diagnosis and treatment data processing method and systems, this method comprises: original diagnosis and treatment data intelligence processing step, original original diagnosis and treatment data are handled to obtain screening diagnosis and treatment data with normal data template and generate corresponding metadata, intelligent manual entry data step, manual entry is carried out to the data for not recording in original diagnosis and treatment data and/or not acquiring, supplementary data is obtained and generates corresponding metadata；Three-level audit supervision amendment step carries out three-level audit supervision to screening diagnosis and treatment data and supplementary data, and is modified to the data queried, and update corresponding metadata；Data-frozen encrypting step will be encrypted and save after screening diagnosis and treatment data, supplementary data and the updated corresponding metadata that three-level audits supervision correcting process are freezed.While to realize that clinic diagnosis data reach the clinical research data integrity of industry common recognition, guarantee data it is true, it is complete, can trace to the source and can not be by modification.
Description
Technical field
This application involves diagnosis and treatment technical field of data processing, and in particular to a kind of retrospective diagnosis and treatment data processing method and
System.
Background technique
Recently as hospital scientific research task and the increase of requirement, the accuracy and efficiency requirements obtain to scientific data is got over
The mode for coming higher, traditional craft or semi-hand acquisition scientific data has been unable to meet requirement, therefore solves the scientific research of hospital
Data problem becomes the vital task of hospital IT personnel.Traditional " is screened to information portion or Data Analyzing Room by data query tool
Qualified patient in group's list inquires medical record or electronic health record record, by qualified data inputting database, finally
Database is analyzed ".The shortcomings that this method is that data collection efficiency is low, accuracy is poor.
The generation process of clinical data is: resident doctor's doctor's advice-nurse station confirmation-pharmacy drug putting-pharmacist check-send
To nurse area, this process is related to 5 information systems, these system combined industry that could complete entire inpatient's dispensing
Business scene.Corresponding to be, each system generates different data, these data are interconnections, and all data can be stored to clinic
Data center is entirely together in series and forms entire data system.What clinic information system recorded people is work number, logs in
Account；Time is the server time read；Place is the position where the one place or machine of setting；Event is application
Function.Clinic information system is the system in an operational process, and recorded data is more suitable for operation management, so this
System is to scientific research all limitations.In addition, some operation flows do not form closed loop in information system, for example hospital does not have outpatient service
Medication effect data.Secondly, having recorded usage scenario data at that time in operating system, some are not especially accurate, Bu Nengda
To the requirement of scientific data.The quality of data (availability) problem.Since EMR data derives from multiple and different information systems, warp
The variation of multiple version is gone through, the unified representations of data, association and integrated there are various problems.Meanwhile doctor's typing lacks semanteme
The input result of specification, same Clinics and Practices scheme, different doctors can be different.In addition, to result from patient true for EMR data
Diagnosis and treatment situation record, purpose are not directly facing scientific research.One the second best in quality patient record of diagnosis and treatment, may not can produce
Meet the data record of scientific research demand.Scientific research demand is very careful, and there are many quantity, and wanting for scientific research is not achieved in existing data at all
It asks, many places are not no data records.
For clinical business, the simpler system operatio the better, but scientific data is added and just complicates, moreover, behaviour
As personnel fill in data not in time, it is unprofessional.In this regard, the training database for establishing each clinical department may be a good solution
Method.Training database can supplement the scientific data of some needs, and being included in operation system can not collected data, some
Specific training data, some data for not needing case.First, the data of hospital all want manual typing, automatic to read
The difficulty of data is very big.Second, the quality of data of manual typing is difficult to control, and there are also the coordinations between hospital to spend largely
Work." technical need that hospital automatically extracts data for system is very urgent." in addition secondary logging data low efficiency,
Increase clinical doctor's burden, write low efficiency and utilization rate is low, the dispersion of clinical medicine scientific research project data, data do not continue etc. asks
Topic.
Mining data value is not limited only to parsing and washes out clinical data, but is data value clinic, scientific research, production
The conversion of industry, therefore real valuable data how are excavated, this just proposes requirement to the high accuracy of data.
In conclusion at present hospital clinical data acquisition in, mainly by least one of following several approach into
Row: (1) management information system for hospitals (HIS system), the information of Physical Examination System (Lis system)；(2) archives and text in Record room
Part；(3) data of information for hospital section acquisition；(4) papery case history, self-built Microsoft Excel etc.；(5) other medical care members in department
Data.Its major defect is as follows:
1, part objective determination index or prescription data can be directly from original information systems in data needed for clinical research
It is extracted in system, but many subjective evaluation datas, physical data, new diagnosis and treatment method, concrete operations sequence, speed, the frequency
Either the data such as process are missing from or unwritten in original information.
2, the data in original clinic information system are there are noise or pseudo- data, same data number in different information systems
It when being worth different, needs manually to check, confirm.
3, original clinical data even across artificial supplement and is checked after electronization, is not passing through industry
Mistake or false data may occur because of personal subjective perhaps odjective cause before the artificial perhaps administrative audit process of standard,
Clinical research data can not be still used as.
4, inefficient, can not trace to the source, original diagnosis and treatment data acquisition modes that are popular, can not assessing of faking, need efficiently, mark
Quasi-, retrospective metadata acquisition tool.
Summary of the invention
The purpose of the application is to propose a kind of retrospective diagnosis and treatment data processing method and system, to solve background above
Technology segment or whole the technical issues of being previously mentioned.
In a first aspect, this application provides a kind of retrospective diagnosis and treatment data processing methods, this method comprises:
Original diagnosis and treatment data intelligence processing step, the original diagnosis and treatment data original hospital being stored in different information systems
It is combed with normal data template, automatically extracts the number to match in the original diagnosis and treatment data with the normal data template
Screening diagnosis and treatment data are obtained accordingly and generate the metadata of screening diagnosis and treatment data, and the normal data template includes meeting CDISC
The baseline information of standard, diagnosis and treatment data pass through information and treatment results information；
Intelligent manual entry data step carries out intelligent inspection to original diagnosis and treatment data, and such as discovery is not recorded and/or do not adopted
The data of collection then prompt to carry out manual entry, obtain supplementary data and generate the metadata of supplementary data；
Three-level audit supervision amendment step carries out three-level audit supervision to the screening diagnosis and treatment data and supplementary data, and
The data queried are modified, and update the metadata of screening diagnosis and treatment data and the metadata of supplementary data；
Data-frozen encrypting step, will by the three-level audit supervision screening diagnosis and treatment data of correcting process, supplementary data and
The metadata of updated screening diagnosis and treatment data and the metadata of supplementary data are encrypted and save after freezing.
In some embodiments, the original diagnosis and treatment data come from least one following data source:
The list data of batch importing, the data obtained from hospital information system HIS, electronic health record EMR data, image are returned
Shelves and communication system PACS data, Hospital laboratory Information Management system LIS data, hand fiber crops system.
In some embodiments, when the original diagnosis and treatment data are at least from two data sources, the original diagnosis and treatment
Data intelligence processing step further includes carrying out intelligent comparison to the original diagnosis and treatment data, if there are contradictions for data, by lance
Shield data submit manual confirmation and cleaning, and the metadata of the screening diagnosis and treatment data includes the establishment timestamp of source data, establishment
The timestamp of manual confirmation and cleaning process after value and/or comparison.
In some embodiments, intelligent manual entry data step further includes being carried out manually using the double alignments of double typings
Inconsistency data is carried out manual confirmation, the metadata of the supplementary data includes if there are contradictions for the data of typing by typing
Record typing people, typing end, entry time and/or the comparison confirmation trace of logging data.
In some embodiments, the operation of three-level audit supervision amendment step are as follows: by system line to operator
Member's progress real name authentication and practicing requirements certification, and it is online simultaneously lower administrative to operator's progress by department responsible person
Three-level auditing flow is established after confirmation authorization, the supplement of diagnosis and treatment data and/or typing personnel's typing will be screened according to auditing flow
Data are assigned to auditor and audit, and are submitted to aufsichtsrat after the approval and carry out data supervision, to proposition auditor
The data that member and/or aufsichtsrat query will be assigned to medical staff and be modified, and revised data also need again
Audit and supervision, all audit supervision and amendment data record and update the metadata of corresponding data.
In some embodiments, the typing personnel are general doctor, nurse or postgraduate, and auditor is with operation
The doctor or nurse of license, aufsichtsrat are the leader of department or more or the doctor of the above academic title of deputy director.
In some embodiments, it is described screening diagnosis and treatment data and/or the encrypted login of supplementary data after three or more
Medical staff has use value after confirming the validity.
In some embodiments, the metadata for updating corresponding data is examined three-level in supervision makeover process
The operation trace and timestamp for extracting data and/or manual entry data save in the metadata.
In some embodiments, when the data source includes HIS system, LIS system, RIS system, PACS system and hand
When numb system, the original diagnosis and treatment data include patient baseline's data in HIS system, the blood bio-chemistry checking data in LIS system,
Radiology data in RIS system, image data in PACS system, the surgery anesthesia data in hand fiber crops system.
In some embodiments, the original diagnosis and treatment data further include Single diseases diagnosis and treatment data.
In some embodiments, the baseline information includes demography, history of disease, diagnosis, patient ID, admission time 5
CDISC standard subdomain, wherein diagnosis is uniformly standardized using international diagnosis dictionary library ICD10；
The diagnosis and treatment are by including 3 therapeutic modality, treatment cycle, inspection result CDISC standard subdomains；
The treatment results include, in hospital duration, diagnosis and treatment related total 4 cost, complication, treatment results CDISC standards
Subdomain.
In some embodiments, the operator logs in and operates according to real-name authentication account and electronic passwords.
In some embodiments, the method also includes: from the original medical information remove patients' privacy data, doctor
Administrative organization of institute data, business or financial information.
In some embodiments, the method also includes: patient information and disease event are stored separately.
In some embodiments, the original diagnosis and treatment data include: relative to having missing in normal data template
Data are not collected from initial data, or acquisition time-out.
In some embodiments, section to schedule obtains the incremental data or modification number of the original diagnosis and treatment data
According to.
In some embodiments, the original diagnosis and treatment data intelligence processing step includes abnormal in the original diagnosis and treatment data
When data, prompt to be modified the abnormal data, and receive amendment data；Wherein, the abnormal data includes: more than just
The data of constant value range and/or data more than project preset range.
In a first aspect, this application provides a kind of retrospective diagnosis and treatment data processing system, the system comprises:
Original diagnosis and treatment data intelligence processing module is configured to for original hospital being stored in original in different information systems
Diagnosis and treatment data with normal data template to combing, automatically extract in the original diagnosis and treatment data with the normal data template
To obtain screening diagnosis and treatment data and generate the metadata of screening diagnosis and treatment data, the normal data template includes the data to match
Meet the baseline information of CDISC standard, diagnosis and treatment data pass through information and treatment results information；
Intelligent manual entry data module is configured to carry out original diagnosis and treatment data intelligent inspection, and such as discovery does not record
And/or the data not acquired, then it prompts to carry out manual entry, obtains supplementary data and generate the metadata of supplementary data；
Three-level audit supervision correction module, is configured to carry out three-level audit to the screening diagnosis and treatment data and supplementary data
Supervision, and the data queried are modified, and update the metadata of screening diagnosis and treatment data and the metadata of supplementary data；
Data-frozen encrypting module is configured to the screening diagnosis and treatment data by three-level audit supervision correcting process, mends
The metadata of the metadata and supplementary data of evidence of making up the number and updated screening diagnosis and treatment data is encrypted and protects after freezing
It deposits.
In some embodiments, the original diagnosis and treatment data come from least one following data source:
The list data of batch importing, the data obtained from hospital information system HIS, electronic health record EMR data, image are returned
Shelves and communication system PACS data, Hospital laboratory Information Management system LIS data, hand fiber crops system.
In some embodiments, when the original diagnosis and treatment data are at least from two data sources, the original diagnosis and treatment
Data intelligence processing module further includes carrying out intelligent comparison to the original diagnosis and treatment data, if there are contradictions for data, by lance
Shield data submit manual confirmation and cleaning, and the metadata of the screening diagnosis and treatment data includes the establishment timestamp of source data, establishment
The timestamp of manual confirmation and cleaning process after value and/or comparison.
In some embodiments, intelligent manual entry data module further includes being carried out manually using the double alignments of double typings
Inconsistency data is carried out manual confirmation, the metadata of the supplementary data includes if there are contradictions for the data of typing by typing
Record typing people, typing end, entry time and/or the comparison confirmation trace of logging data.
In some embodiments, the operation that three-level audit supervision correction module executes are as follows: by system line to behaviour
Make personnel and carry out real name authentication and practicing requirements certification, and online lower simultaneously operator is carried out by department responsible person
Three-level auditing flow is established after administrative confirmation authorization, will screen diagnosis and treatment data and/or typing personnel's typing according to auditing flow
Supplementary data is assigned to auditor and audits, and is submitted to aufsichtsrat after the approval and carries out data supervision, careful to proposing
The data that core personnel and/or aufsichtsrat query will be assigned to medical staff and be modified, and revised data also need
It audits and supervises again, all audit supervision and amendment data record and update the metadata of corresponding data.
In some embodiments, the typing personnel are general doctor, nurse or postgraduate, and auditor is with operation
The doctor or nurse of license, aufsichtsrat are the leader of department or more or the doctor of the above academic title of deputy director.
In some embodiments, it is described screening diagnosis and treatment data and/or the encrypted login of supplementary data after three or more
Medical staff has use value after confirming the validity.
In some embodiments, the metadata for updating corresponding data is examined three-level in supervision makeover process
The operation trace and timestamp for extracting data and/or manual entry data save in the metadata.
In some embodiments, when the data source includes HIS system, LIS system, RIS system, PACS system and hand
When numb system, the original diagnosis and treatment data include patient baseline's data in HIS system, the blood bio-chemistry checking data in LIS system,
Radiology data in RIS system, image data in PACS system, the surgery anesthesia data in hand fiber crops system.
In some embodiments, the original diagnosis and treatment data further include Single diseases diagnosis and treatment data.
In some embodiments, the baseline information includes demography, history of disease, diagnosis, patient ID, admission time 5
CDISC standard subdomain, wherein diagnosis is uniformly standardized using international diagnosis dictionary library ICD10；
The diagnosis and treatment are by including 3 therapeutic modality, treatment cycle, inspection result CDISC standard subdomains；
The treatment results include, in hospital duration, diagnosis and treatment related total 4 cost, complication, treatment results CDISC standards
Subdomain.
In some embodiments, the operator logs in and operates according to real-name authentication account and electronic passwords.
In some embodiments, the system also includes:
Desensitize module, is configured to remove patients' privacy data, hospital administration structure number from the original medical information
According to, business or financial information.
In some embodiments, the system also includes: information isolation module is configured to patient information and disease feelings
Condition is stored separately.
In some embodiments, the original diagnosis and treatment data include: relative to having missing in normal data template
Data are not collected from initial data, or acquisition time-out.
In some embodiments, section to schedule obtains the incremental data or modification number of the original diagnosis and treatment data
According to.
In some embodiments, the original diagnosis and treatment data intelligence processing module includes abnormal in the original diagnosis and treatment data
When data, prompt to be modified the abnormal data, and receive amendment data；Wherein, the abnormal data includes: more than just
The data of constant value range and/or data more than project preset range.
Retrospective diagnosis and treatment data processing method and system provided by the embodiments of the present application, adopt international standards to examine original
It treats data intelligence to be handled, and artificial supplementation, the screening diagnosis and treatment number then filtered out to Intelligent treatment is carried out to missing data
Artificial three-level administrative audit, query and modification data are carried out after being cleaned according to, supplementary data, and are based on manual examination and verification and query
Modification screening diagnosis and treatment data, supplementary data, and the metadata of screening diagnosis and treatment data and the metadata of supplementary data are updated, then will
Screening diagnosis and treatment data, supplementary data and updated metadata are encrypted and save after freezing.Operator uses line
Administrative authorization identifying classification authorization role setting and electronic passwords real name log under upper verifying line, it is ensured that system safety uses member
Data save whole process running node three-dimensional trace (time, data source, typing people or auditor etc.).To realize that clinic is examined
While treating data and reach the clinical research data integrity of industry common recognition, guarantee data it is true, it is complete, can trace to the source and can not be by
Modification property.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the flow chart that one embodiment of retrospective diagnosis and treatment data processing method is examined according to the application.
Fig. 2 is a specific example schematic diagram of normal data template.
Fig. 3 is the structural representation according to a specific embodiment of the retrospective diagnosis and treatment data processing system of the application
Figure.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the flow chart of the retrospective diagnosis and treatment data processing method one embodiment of the application.The diagnosis and treatment data
The executing subject of the process of management method one embodiment can be any electronics with certain data processing and storage capacity
Equipment, or the application program that can be run on an electronic device.Above-mentioned electronic equipment can be single electronic equipment, can also be with
It is electronic equipment cluster, also may operate in network system or cloud processing system, the application does not limit this.In detail below
Introduce the specific implementation process of the process.
As shown in Figure 1, this method comprises: original diagnosis and treatment data intelligence processing step 101, is stored in difference for original hospital
Original diagnosis and treatment data in information system are combed with normal data template, automatically extract in the original diagnosis and treatment data with institute
The data that normal data template matches are stated to obtain screening diagnosis and treatment data and generate the metadata of screening diagnosis and treatment data, the mark
Quasi- data template includes meeting clinical data exchange standard association (Clinical Data Interchange Standards
Consortium, abbreviation CDISC) baseline information of standard, diagnosis and treatment data pass through information and treatment results information.
Intelligent manual entry data step 102 carries out intelligent inspection to original diagnosis and treatment data, such as discovery do not record and/or
The data not acquired then prompt to carry out manual entry, obtain supplementary data and generate the metadata of supplementary data.
Three-level audit supervision amendment step 103 carries out three-level audit supervision to the screening diagnosis and treatment data and supplementary data,
And the data queried are modified, and update the metadata of screening diagnosis and treatment data and the metadata of supplementary data.
Data-frozen encrypting step 104, by screening diagnosis and treatment data, the supplementary data by three-level audit supervision correcting process
It is encrypted and saves after freezing with the metadata of updated screening diagnosis and treatment data and the metadata of supplementary data.
The original diagnosis and treatment data handled in original diagnosis and treatment data intelligence processing step 101 can be in diagnosis and treatment process, original
The data of record, for example, when doctor's interrogation patient to the description of the state of an illness, doctor institute prescription, nurse to inpatient the case where
Record, etc..
Above-mentioned executing subject can obtain original diagnosis and treatment data from the various data systems of hospital.In one embodiment, former
Beginning diagnosis and treatment data can come from least one following data source: list data that batch imports, from hospital information system
The data of (Hospital Information System, abbreviation HIS) acquisition, electronic health record (Electronic Medical
Record, EMR) data, image archiving and communication system (Picture Archiving and Communication
Systems, PACS) data, Hospital laboratory Information Management system LIS (Hospital laboratory Information
Management system, abbreviation LIS) data, hand fiber crops system, etc..Optionally, when data source includes HIS system, LIS
When system, RIS system, PACS system and hand fiber crops system, original diagnosis and treatment data at least may include the patient baseline in HIS system
Data, the blood bio-chemistry checking data in LIS system, radiology information system (Radiology Information System, letter
Claim RIS system) in radiology data, the image data in PACS system, the surgery anesthesia data, etc. in hand fiber crops system.
In some implementations, original diagnosis and treatment data can also include the record of the multiterminal such as data, mobile phone end that batch imports
Data, the original case history entered is taken pictures the data of upload, patient's wechat end typing follow up data etc..
Original diagnosis and treatment data can be acquired by various possible acquisition approach, such as scanner, doctor, Hu Shigong
Make the computer used, smart phone that patient uses etc..In some implementations, front end processor can be set, be used to from hospital
Various data systems obtain these original diagnosis and treatment data, these original diagnosis and treatment data are then sent to above-mentioned executing subject.?
In one embodiment, gateway can be set between front end processor and above-mentioned executing subject and be physically separated, make data can only be from
Front end processor is sent to above-mentioned executing subject.At this time, it may be necessary to set the data of needs in front end processor.In this way, it is possible to reduce on
The connection for stating executing subject and external device guarantees the data safety in above-mentioned executing subject.It is worth noting that front end processor is made
For the intermediate equipment of hospital data acquisition, can be realized by computer, laptop, scanner etc..
Original diagnosis and treatment data are combed using normal data template in original diagnosis and treatment data intelligence processing step 101,
The data to match in original diagnosis and treatment data with normal data template are automatically extracted to obtain screening diagnosis and treatment data.
In the present embodiment, it can store the normal data template of setting in above-mentioned executing subject, the normal data mould
Plate may include the baseline information for meeting CDISC standard, diagnosis and treatment by information and treatment results information.The normal data template can
To be the various forms such as table, sentence, for being described, limiting to required data.Above-mentioned executing subject can use criterion numeral
Original diagnosis and treatment data are combed according to template, extract corresponding data from original diagnosis and treatment data.
Table 210 in one specific example of normal data template as shown in Figure 2, may include 3 big standards
Subdomain 211, as information and treatment results information are passed through in baseline information, diagnosis and treatment.Can also include under each big standard subdomain 211
Multiple small standard subdomains 212 (such as demography), can also include under small standard subdomain 212 multiple data item (such as gender,
Blood group etc.), according to these small standard subdomains 212 or data item, above-mentioned executing subject can be from original diagnosis and treatment data
With corresponding information is extracted, as screening diagnosis and treatment data.
In other cases, normal data template can also be some descriptive statements, such as " blood group of patient
Be _ _ _ " etc., above-mentioned electronic equipment can match original diagnosis and treatment data at this time, such as extract from the descriptive statement
Keyword " blood group " is then matched to " blood group: O " from the original diagnosis and treatment data of inspection result, adds to extract " O "
It states in descriptive statement as a screening diagnosis and treatment data.
In some optional implementations of embodiment, baseline information be can include but is not limited to, demography, history of disease,
5 diagnosis, patient ID, admission time CDISC standard subdomains.Wherein: demography for example can include but is not limited to: gender goes out
The information such as raw days, blood group；History of disease can include but is not limited to illnesses, treatment before patient and/or its lineal relative
Scheme etc.；Diagnosis can be uniformly standardized using international diagnosis dictionary library ICD10.Diagnosis and treatment are passed through,
3 therapeutic modality (such as used drug, device therefor etc.), treatment cycle (such as 3 months), inspection result CDISC standards
Domain；Treatment results may include, in hospital duration, diagnosis and treatment related total 4 cost, complication, treatment results CDISC standard subdomains.
It is appreciated that the clinical big data of various regions report, if be not strictly required comprising being controlled with clinical most crucial diagnosis
Relevant most basic data are treated, if then clinical data is imperfect, system, not nonstandard, and data are how also utterly useless again.According to
Embodiments described above, for all diseases can must acquire data and all kinds of Single diseases must acquire necessity of data and examine
Node and field are treated, the biggish clinical data acquisition of an industry degree of recognition and storage standard are established.
In some embodiments, can by base-line data, diagnosis and treatment process, treatment results etc. as must number completion evidence, and increase
Other addition Items are used as and select number completion evidence, such as follow-up data etc..
In some embodiments, when the original diagnosis and treatment data are at least from two data sources, the original diagnosis and treatment
Data intelligence processing step further includes carrying out intelligent comparison to the original diagnosis and treatment data, if there are contradictions for data, by lance
Shield data submit manual confirmation and cleaning, and the metadata of the screening diagnosis and treatment data includes the establishment timestamp of source data, establishment
The timestamp of manual confirmation and cleaning process after value and/or comparison.
In some implementations of the present embodiment, when original diagnosis and treatment data come from two or more data sources, on
Stating executing subject can be with: verification is compared to corresponding data in different data source；There is contradiction in response to data
Conflict then sends modification request of data, and receives the modification data for carrying out operator's input, and update corresponding metadata.It lifts
For example, it is assumed that include HIS system and LIS system the two data sources in original diagnosis and treatment data, above-mentioned executing subject is at this
It has all been matched to this data item of blood group in two data sources, however, the blood group result in HIS system is " A ", that is, has indicated to suffer from
Person is A type blood, and the blood group result in LIS system is " O ", i.e. expression patient is O-shaped blood, and the two mutually conflicts.At this point, above-mentioned execution
Main body can send modification request of data to related artificial terminal, such as the artificial terminal that blood bio-chemistry checking nurse's account logs in,
And the modification data from artificial terminal are received, screening diagnosis and treatment data are updated with the modification data, and update its corresponding first number
According to.
In some embodiments, intelligent manual entry data step 102 further includes being carried out using the double alignments of double typings
Inconsistency data is carried out manual confirmation, the metadata of the supplementary data if there are contradictions for the data of typing by manual entry
Typing people, typing end, entry time and/or comparison confirmation trace including recording logging data.Double typings that the present invention uses
The mode of double-contrast is compared with to the original diagnosis and treatment data progress intelligence, if there are the mode that contradiction is handled is identical for data.
In some embodiments, the operation of three-level audit supervision amendment step 103 are as follows: by system line to operation
Personnel carry out real name authentication and practicing requirements certification, and are gone online by department responsible person to operator down simultaneously
Three-level auditing flow is established after political affairs confirmation authorization, the benefit of diagnosis and treatment data and/or typing personnel's typing will be screened according to auditing flow
Evidence of making up the number is assigned to auditor and audits, and is submitted to aufsichtsrat after the approval and carries out data supervision, audits to proposition
The data that personnel and/or aufsichtsrat query will be assigned to medical staff and be modified, and revised data also need again
Secondary audit and supervision, all audit supervision and amendment data record and update the metadata of corresponding data.For example, the typing
Personnel are general doctor, nurse or postgraduate, and auditor is doctor or nurse with operation license, and aufsichtsrat is department
The doctor of above above academic title of leader or deputy director.For the authority for ensuring data, the screening diagnosis and treatment data and/or supplement
Three after the encrypted login of data and the above medical staff have use value after confirming the validity.
In some embodiments, the metadata for updating corresponding data is examined three-level in supervision makeover process
The operation trace and timestamp for extracting data and/or manual entry data save in the metadata.
Smoothness to guarantee manual entry audit is convenient, and the present invention, which uses, carries out Single diseases or single subject in department cloud
Data acquire priority assignation, audit supplement typing, the operation such as preservation of data-frozen cryptographic Hash and index data.If department is not
Using cloud mode, department's local area network is established only to complete above-mentioned task.Before department's cloud and hospital's original information system pass through
It sets chain to connect, and adds firewall to be physically separated by physical gateway.
Pass through the processing of upper step 101,102 and 103, it is ensured that the accuracy of data and the standardization for realizing data,
This is one of important inventive point of the present invention.
In some embodiments, the original diagnosis and treatment data further include Single diseases diagnosis and treatment data.
In some implementations of the present embodiment, whether above-mentioned executing subject can also include different to original diagnosis and treatment data
Regular data is detected.Wherein, abnormal data includes: more than the data of range of normal value and/or more than project preset range
Data.For example, the height of patient is 10 meters, and considerably beyond normal range (NR), then above-mentioned executing subject can in original diagnosis and treatment data
To determine that the data of the data item are abnormal datas.Above-mentioned executing subject can be to send to artificial terminal to the exception number as a result,
According to amendment request.Operator receives amendment request, after further can verifying corresponding data by artificial or system
It is sent to above-mentioned executing subject, so that above-mentioned executing subject can receive the amendment data from operator, and with the amendment
Data update screening diagnosis and treatment data.
The original desensitization of hospital information system data extraction, cleaning, comparison, intelligent checking, guarantee are solved in this way, can provide
The method of safety.
In some embodiments, aforesaid operations personnel log in and operate according to real-name authentication account and electronic passwords.As a result,
User identity can be authenticated, to guarantee that data source is reliable, authentic and valid.Meanwhile it can be guaranteed by authentication
Information Security in above-mentioned executing subject.In some implementations, on the basis of authentication, can also further be arranged white
List is only passing through authentication, and the user being matched in white list, just can be with operation data.Thus it further mentions
High Information Security.
Above-mentioned executing subject can be stored in this to the content of original diagnosis and treatment data, screening diagnosis and treatment data and supplementary data
Ground.Meanwhile for pieces of data, together with its corresponding metadata, (such as record time, acquisition time, data origin information are (such as
From HIS system or medical staff, so-and-so is supplemented), audit situation, auditor, modification situation, modification people etc.) save together.
Further, data can also be encrypted before saving data.Here encryption can be common encryption, such as be arranged
File password can also generate key by Encryption Algorithm (such as MD5, symmetric cryptography).It should in this way, needing to access at other people
When the data of storage, only taking password or key could be accessed, to guarantee the safety of data.
According to a kind of possible implementation, can also be physically isolated by gateway between above-mentioned executing subject and outer net,
Data access person unit will be detected after testing, only be recognized by identity during accessing to data as a result,
Card and/or user name are matched with white list, just data access person are allowed to have corresponding access authority, are connect by predetermined
Mouth obtains the various data saved in this step.
In some implementations, above-mentioned executing subject can also remove patients' privacy data from original medical information
(such as name, phone, address), hospital administration structure data (such as department's relationship between superior and subordinate), business or financial information are (as received
Take data) etc..In this way, desensitization process can be carried out to original medical information, sensitive word is removed, to protect patient and hospital's privacy.
In other implementations, patient information and disease event can also be stored separately by above-mentioned executing subject.This
Sample, is read out when screening diagnosis and treatment data, can read to avoid together with patient privacy information, protects patient from other side
Privacy.
It is appreciated that since hospital data may be in real-time update, so in high volume obtaining original diagnosis and treatment data for the first time
Later, at regular intervals, original diagnosis and treatment data may all have increase or modification.Therefore, in some optional realities of the present embodiment
In existing mode, above-mentioned executing subject can section to schedule, obtain the incremental data or modification data of original diagnosis and treatment data.
The predetermined amount of time can be 1 day, 20 hours, 2 days etc., depending on the circumstances.
In one implementation, all of above metadata can recorde timestamp, modification trace (when such as modification people, modification
Between, value and modified value etc. before modification) and adopt into end (data source as the aforementioned), trace can not be modified.Meanwhile may be used also
Cryptographic Hash is calculated into end data to be directed to these timestamps, modification trace and adopt, for saving.In this way, inefficient, nothing can be improved
Method traces to the source, it is popular to fake, original diagnosis and treatment data acquisition modes that are can not assessing, provide efficiently, the acquisition of standard, retrospective data
Method.
Fig. 3 shows a kind of retrospective diagnosis and treatment data processing system of the application, the system comprises:
Original diagnosis and treatment data intelligence processing module 301, is configured to for original hospital being stored in different information systems
Original diagnosis and treatment data with normal data template to combing, automatically extract in the original diagnosis and treatment data with the normal data
The data that template matches are to obtain screening diagnosis and treatment data and generate the metadata of screening diagnosis and treatment data, the normal data template
Including meeting the baseline information of CDISC standard, diagnosis and treatment data pass through information and treatment results information.
Intelligent manual entry data module 302 is configured to carry out original diagnosis and treatment data intelligent inspection, and such as discovery is not remembered
Record and/or the data not acquired then prompt to carry out manual entry, obtain supplementary data and generate the metadata of supplementary data.
Three-level audit supervision correction module 303, is configured to carry out three-level to the screening diagnosis and treatment data and supplementary data
Audit supervision, and the data queried are modified, and update the metadata of screening diagnosis and treatment data and the member of supplementary data
Data.
Data-frozen encrypting module 304, be configured to will by three-level audit supervision correcting process screening diagnosis and treatment data,
The metadata of the metadata and supplementary data of supplementary data and updated screening diagnosis and treatment data is encrypted simultaneously after freezing
It saves.
In some embodiments, the original diagnosis and treatment data come from least one following data source:
The list data of batch importing, the data obtained from hospital information system HIS, electronic health record EMR data, image are returned
Shelves and communication system PACS data, Hospital laboratory Information Management system LIS data, hand fiber crops system.
In some embodiments, when the original diagnosis and treatment data are at least from two data sources, the original diagnosis and treatment
Data intelligence processing module 301 further includes carrying out intelligent comparison to the original diagnosis and treatment data, will if there are contradictions for data
Inconsistency data submits manual confirmation and cleaning, and the metadata of the screening diagnosis and treatment data includes the establishment timestamp of source data, just
The timestamp of manual confirmation and cleaning process after wound value and/or comparison.
In some embodiments, intelligent manual entry data module 302 further includes being carried out using the double alignments of double typings
Inconsistency data is carried out manual confirmation, the metadata of the supplementary data if there are contradictions for the data of typing by manual entry
Typing people, typing end, entry time and/or comparison confirmation trace including recording logging data.
In some embodiments, the operation that the three-level audit supervision correction module 303 executes are as follows: by right in system line
Operator carries out real name authentication and practicing requirements certification, and it is online lower simultaneously by department responsible person to operator into
Three-level auditing flow is established after row administrative confirmation authorization, diagnosis and treatment data and/or typing personnel's typing will be screened according to auditing flow
Supplementary data be assigned to auditor and audit, be submitted to aufsichtsrat after the approval and carry out data supervision, to proposition
The data that auditor and/or aufsichtsrat query will be assigned to medical staff and be modified, and revised data also need
It to audit and supervise again, all audit supervision and amendment data record and update the metadata of corresponding data.
In some embodiments, the typing personnel are general doctor, nurse or postgraduate, and auditor is with operation
The doctor or nurse of license, aufsichtsrat are the leader of department or more or the doctor of the above academic title of deputy director.
In some embodiments, it is described screening diagnosis and treatment data and/or the encrypted login of supplementary data after three or more
Medical staff has use value after confirming the validity.
In some embodiments, the metadata for updating corresponding data is examined three-level in supervision makeover process
The operation trace and timestamp for extracting data and/or manual entry data save in the metadata.
In some embodiments, when the data source includes HIS system, LIS system, RIS system, PACS system and hand
When numb system, the original diagnosis and treatment data include patient baseline's data in HIS system, the blood bio-chemistry checking data in LIS system,
Radiology data in RIS system, image data in PACS system, the surgery anesthesia data in hand fiber crops system.
In some embodiments, the original diagnosis and treatment data further include Single diseases diagnosis and treatment data.
In some embodiments, the baseline information includes demography, history of disease, diagnosis, patient ID, admission time 5
CDISC standard subdomain, wherein diagnosis is uniformly standardized using international diagnosis dictionary library ICD10；
The diagnosis and treatment are by including 3 therapeutic modality, treatment cycle, inspection result CDISC standard subdomains；
The treatment results include, in hospital duration, diagnosis and treatment related total 4 cost, complication, treatment results CDISC standards
Subdomain.
In some embodiments, the operator logs in and operates according to real-name authentication account and electronic passwords.
In some embodiments, the system also includes:
Desensitize module, is configured to remove patients' privacy data, hospital administration structure number from the original medical information
According to, business or financial information.
In some embodiments, the system also includes: information isolation module is configured to patient information and disease feelings
Condition is stored separately.
In some embodiments, the original diagnosis and treatment data include: relative to having missing in normal data template
Data are not collected from initial data, or acquisition time-out.
In some embodiments, section to schedule obtains the incremental data or modification number of the original diagnosis and treatment data
According to.
In some embodiments, the original diagnosis and treatment data intelligence processing module 101 includes in the original diagnosis and treatment data
When abnormal data, prompt to be modified the abnormal data, and receive amendment data；Wherein, the abnormal data includes: super
Cross the data of range of normal value and/or the data more than project preset range.
It is worth noting that the retrospective diagnosis and treatment data processing system of the present embodiment retrospective is examined with shown in fig. 1
It is corresponding to treat data processing method, therefore the system that describing and explaining based on Fig. 1-2 is equally applicable to the present embodiment, herein not
It repeats again.
The retrospective diagnosis and treatment data processing method and system that the above embodiments of the present application provide, adopt international standards to original
Beginning diagnosis and treatment data intelligence is handled, and carries out artificial supplementation to missing data, is then examined the screening that Intelligent treatment filters out
Treat data, supplementary data and carry out artificial three-level administrative audit, query and modification data after being cleaned, and based on manual examination and verification and
Query modification screening diagnosis and treatment data, supplementary data, and update the metadata of screening diagnosis and treatment data and the metadata of supplementary data, so
It is encrypted and saves after afterwards freezing screening diagnosis and treatment data, supplementary data and updated metadata.Operator adopts
It is logged in administrative authorization identifying classification authorization role setting and electronic passwords real name under line is verified on line, it is ensured that system safety makes
With meta-data preservation whole process running node three-dimensional trace (time, data source, typing people or auditor etc.).Face to realize
While bed diagnosis and treatment data reach the clinical research data integrity of industry common recognition, guarantee data it is true, it is complete, can trace to the source and not
It can be by modification.This is the important inventive point of the application.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (18)
1. a kind of retrospective diagnosis and treatment data processing method, which is characterized in that this method comprises:
Original hospital is stored in the mark of the original diagnosis and treatment data in different information systems by original diagnosis and treatment data intelligence processing step
Quasi- data template is combed, automatically extract the data that match in the original diagnosis and treatment data with the normal data template with
It obtains screening diagnosis and treatment data and generates the metadata of screening diagnosis and treatment data, the normal data template includes meeting CDISC standard
Baseline information, diagnosis and treatment data pass through information and treatment results information；
Intelligent manual entry data step carries out intelligent inspection to original diagnosis and treatment data, as found not record and/or do not acquire
Data then prompt to carry out manual entry, obtain supplementary data and generate the metadata of supplementary data；
Three-level audit supervision amendment step, carries out three-level audit to the screening diagnosis and treatment data and supplementary data and supervises, and to mentioning
The data queried out are modified, and update the metadata of screening diagnosis and treatment data and the metadata of supplementary data；
Data-frozen encrypting step, by screening diagnosis and treatment data, supplementary data and the update by three-level audit supervision correcting process
The metadata of screening diagnosis and treatment data and the metadata of supplementary data afterwards is encrypted and saves after freezing.
2. the method according to claim 1, wherein the original diagnosis and treatment data come from least one following data
Source:
Batch import list data, from hospital information system HIS obtain data, electronic health record EMR data, image archiving and
Communication system PACS data, Hospital laboratory Information Management system LIS data, hand fiber crops system.
3. according to the method described in claim 2, it is characterized in that, when the original diagnosis and treatment data are come at least from two data
When source, the original diagnosis and treatment data intelligence processing step further includes carrying out intelligent comparison to the original diagnosis and treatment data, if number
According to there are contradictions, then inconsistency data is submitted into manual confirmation and cleaning, the metadata of the screening diagnosis and treatment data includes source data
Establishment timestamp, establishment value and/or compare after manual confirmation and cleaning process timestamp.
4. the method according to claim 1, wherein
Intelligent manual entry data step further includes carrying out manual entry using the double alignments of double typings, if the data of typing
There are contradictions, then inconsistency data are carried out manual confirmation, and the metadata of the supplementary data includes recording the typing of logging data
People, typing end, entry time and/or comparison confirmation trace.
5. the method according to claim 1, wherein the operation of three-level audit supervision amendment step are as follows: logical
It crosses in system line and real name authentication and practicing requirements certification is carried out to operator, and is online simultaneously lower by department responsible person
To operator carry out administrative confirmation authorization after establish three-level auditing flow, according to auditing flow will screen diagnosis and treatment data and/or
The supplementary data of typing personnel's typing is assigned to auditor and audits, and is submitted to aufsichtsrat after the approval and carries out data
Supervision will be assigned to medical staff to the data that proposition auditor and/or aufsichtsrat query and be modified, after amendment
Data also need to audit and supervise again, all audits supervision and amendment data record and update first number of corresponding data
According to.
6. method according to claim 5, which is characterized in that the typing personnel are general doctor, nurse or postgraduate, audit
Personnel are doctor or nurse with operation license, and aufsichtsrat is the leader of department or more or the doctor of the above academic title of deputy director
It is raw.
7. method according to claim 5, which is characterized in that the screening diagnosis and treatment data and/or the encrypted login of supplementary data
Afterwards three and the above medical staff have use value after confirming the validity.
8. method according to claim 5, which is characterized in that the metadata for updating corresponding data is to examine three-level to supervise
The operation trace and timestamp for examining the extraction data and/or manual entry data in makeover process save in the metadata.
9. method according to claim 2, which is characterized in that when the data source includes HIS system, LIS system, RIS system
System, PACS system and when hand fiber crops system, the original diagnosis and treatment data include patient baseline's data in HIS system, in LIS system
Blood bio-chemistry checking data, the radiology data in RIS system, image data in PACS system, the surgery anesthesia in hand fiber crops system
Data.
10. the method according to claim 1, which is characterized in that the original diagnosis and treatment data further include Single diseases diagnosis and treatment data.
11. the method according to claim 1, wherein wherein:
The baseline information includes 5 demography, history of disease, diagnosis, patient ID, admission time CDISC standard subdomains, wherein
Diagnosis is uniformly standardized using international diagnosis dictionary library ICD10；
The diagnosis and treatment are by including 3 therapeutic modality, treatment cycle, inspection result CDISC standard subdomains；
The treatment results include, in hospital duration, diagnosis and treatment related total 4 cost, complication, treatment results CDISC standard subdomains.
12. according to the method described in claim 5, it is characterized in that, the operator is according to real-name authentication account and electronics
Password logon and operation.
13. the method according to claim 1, wherein the method also includes:
Patients' privacy data, hospital administration structure data, business or financial information are removed from the original medical information.
14. the method according to claim 1, wherein the method also includes:
Patient information and disease event are stored separately.
15. the method according to claim 1, wherein the original diagnosis and treatment data are relative to normal data template
In in have missing and include:
Data are not collected from initial data, or acquisition time-out.
16. the method according to claim 1, wherein
Section to schedule obtains the incremental data or modification data of the original diagnosis and treatment data.
17. the method according to claim 1, wherein the original diagnosis and treatment data intelligence processing step is described
When original diagnosis and treatment data include abnormal data, prompt to be modified the abnormal data, and receive amendment data；
Wherein, the abnormal data includes: the data more than range of normal value and/or the data more than project preset range.
18. a kind of retrospective diagnosis and treatment data processing system, which is characterized in that the system comprises:
Original diagnosis and treatment data intelligence processing module is configured to the original diagnosis and treatment being stored in original hospital in different information systems
Data with normal data template to combing, automatically extract in the original diagnosis and treatment data with the normal data template phase
For the data matched to obtain screening diagnosis and treatment data and generate the metadata of screening diagnosis and treatment data, the normal data template includes meeting
The baseline information of CDISC standard, diagnosis and treatment data pass through information and treatment results information；
Intelligent manual entry data module is configured to carry out original diagnosis and treatment data intelligent inspection, such as discovery do not record and/or
The data not acquired then prompt to carry out manual entry, obtain supplementary data and generate the metadata of supplementary data；
Three-level audit supervision correction module is configured to carry out the screening diagnosis and treatment data and supplementary data in three-level audit prison
It examines, and the data queried is modified, and update the metadata of screening diagnosis and treatment data and the metadata of supplementary data；
Data-frozen encrypting module is configured to the screening diagnosis and treatment data by three-level audit supervision correcting process, supplement number
It is encrypted and saves after freezing according to the metadata of metadata and supplementary data with updated screening diagnosis and treatment data.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658998A (en) * | 2019-01-02 | 2019-04-19 | 中国中医科学院西苑医院 | A kind of TCM on tumor registration platform and method |
| CN110556182A (en) * | 2019-08-26 | 2019-12-10 | 周禹同 | Hospital data circulation tracing method |
| CN110648151A (en) * | 2019-09-24 | 2020-01-03 | 河南元溯农业科技有限公司 | Computer readable medium storing product traceability risk early warning program, product traceability risk early warning management system |
| CN111427881A (en) * | 2020-03-31 | 2020-07-17 | 杭州依图医疗技术有限公司 | Medical data processing method, task processing method and storage medium |
| CN111883224A (en) * | 2020-07-01 | 2020-11-03 | 金蝶医疗软件科技有限公司 | Electronic medical record processing method and device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576882A (en) * | 2008-05-08 | 2009-11-11 | 中国人民解放军第四五五医院 | Traceable data collecting and analyzing system |
| CN103679603A (en) * | 2012-09-25 | 2014-03-26 | 大连运邦科技发展有限公司 | Hospitalization electronic medical record system |
| CN103929759A (en) * | 2014-04-18 | 2014-07-16 | 中国联合网络通信有限公司广西壮族自治区分公司 | Method and system for optimizing mobile network based on medical histories |
| CN107767929A (en) * | 2017-11-13 | 2018-03-06 | 医渡云（北京）技术有限公司 | CRF filling method, device, electronic equipment and storage medium |
-
2018
- 2018-06-27 CN CN201810675908.0A patent/CN108986873A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576882A (en) * | 2008-05-08 | 2009-11-11 | 中国人民解放军第四五五医院 | Traceable data collecting and analyzing system |
| CN103679603A (en) * | 2012-09-25 | 2014-03-26 | 大连运邦科技发展有限公司 | Hospitalization electronic medical record system |
| CN103929759A (en) * | 2014-04-18 | 2014-07-16 | 中国联合网络通信有限公司广西壮族自治区分公司 | Method and system for optimizing mobile network based on medical histories |
| CN107767929A (en) * | 2017-11-13 | 2018-03-06 | 医渡云（北京）技术有限公司 | CRF filling method, device, electronic equipment and storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658998A (en) * | 2019-01-02 | 2019-04-19 | 中国中医科学院西苑医院 | A kind of TCM on tumor registration platform and method |
| CN110556182A (en) * | 2019-08-26 | 2019-12-10 | 周禹同 | Hospital data circulation tracing method |
| CN110648151A (en) * | 2019-09-24 | 2020-01-03 | 河南元溯农业科技有限公司 | Computer readable medium storing product traceability risk early warning program, product traceability risk early warning management system |
| CN111427881A (en) * | 2020-03-31 | 2020-07-17 | 杭州依图医疗技术有限公司 | Medical data processing method, task processing method and storage medium |
| CN111883224A (en) * | 2020-07-01 | 2020-11-03 | 金蝶医疗软件科技有限公司 | Electronic medical record processing method and device, computer equipment and storage medium |
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