CN119724460A - Critical Care Data Collaborative Sharing System - Google Patents
Critical Care Data Collaborative Sharing System Download PDFInfo
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Abstract
The invention discloses a cooperative sharing system of intensive care data, which belongs to the technical field of intensive care, and comprises a data acquisition module, a data processing module and a sharing management platform, wherein the data acquisition module is used for acquiring the intensive care data based on big data, the data processing module is used for processing the intensive care data based on the big data, and the sharing management platform is used for sharing, analyzing and remotely managing the intensive care data based on the big data based on an intelligent chip. The invention solves the problems that the existing intensive care data cannot be effectively shared in a synergic way, and the intensive care behaviors cannot be effectively analyzed and managed, so that the medical working efficiency and the quality are low. According to the invention, the critical care data are collected and processed, the standardized critical care data are determined, and the critical care data can be effectively and cooperatively shared, so that the critical care behavior can be effectively analyzed and managed, and the medical working efficiency and quality can be improved through sharing, analysis and remote management of the critical care data.
Description
Technical Field
The invention relates to the technical field of severe nursing, in particular to a severe nursing data cooperative sharing system.
Background
The critical care is an important medical field, and needs to timely and accurately grasp information such as patient condition change, treatment effect and the like so as to better perform treatment and care work.
The Chinese patent with the publication number of CN112349394A discloses a severe nursing data management system and a method based on an automatic calculator, wherein the system comprises a voice input module, an image acquisition module, a verification information input module, a scanning module, a touch display module, a central processing module, a wireless communication module, a local area network module, an automatic calculation summarizing module, a verification recognition module, a database updating module and a prediction alarm module, wherein the voice input module and the automatic calculation summarizing module are arranged to input data, a large amount of operations are not needed in the nursing process of a severe patient, and the consumption of a large amount of time for writing operation records and calculation is avoided, but the patent has the following defects:
the existing intensive care data cannot be effectively shared in a synergic manner, and the intensive care behaviors cannot be effectively analyzed and managed, so that the medical work efficiency and the medical work quality are low.
Disclosure of Invention
The invention aims to provide a cooperative sharing system for severe nursing data, which can effectively and cooperatively share the severe nursing data, can effectively analyze and manage severe nursing behaviors, can improve the medical work efficiency and quality, and solves the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a critical care data collaborative sharing system comprising:
The data acquisition module is used for acquiring severe nursing data based on big data;
the data processing module is used for processing severe care data based on big data;
And the sharing management platform is used for sharing, analyzing and remotely managing the severe nursing data based on the big data based on the intelligent chip.
Preferably, the data acquisition module includes:
The basic information acquisition unit is used for acquiring basic information of a severe patient and determining basic information data of the severe patient, wherein the basic information comprises names, ages, sexes, addresses, contact modes, patient IDs, hospitalization numbers, past medical history, allergy history and operation history of the severe patient;
The vital sign acquisition unit is used for acquiring the body temperature, the respiratory frequency, the respiratory depth, the heart rate, the blood pressure and the blood oxygen saturation of the severe patient and determining vital sign data of the severe patient;
The medical examination acquisition unit is used for examining blood and urine of a severe patient, diagnosing the severe patient by adopting X-ray, CT or MRI, and determining medical examination data of the severe patient;
The medication record acquisition unit is used for acquiring the medication name, dosage, usage, medication time and anaphylactic reaction or adverse reaction of the serious patient to the medicine and determining medication record data of the serious patient;
The nursing record acquisition unit is used for acquiring nursing measures, nursing actions and nursing plans of the severe patients and determining nursing record data of the severe patients;
wherein the critical care data based on the big data is determined based on critical patient basic information data, critical patient vital sign data, critical patient medical examination data, critical patient medication record data and critical patient care record data.
Preferably, the data processing module includes:
The data cleaning unit is used for cleaning the severe nursing data based on big data and comprises the steps of deleting repeated data, processing abnormal values and missing values;
Deleting repeated data, namely checking the intensive care data based on the big data by adopting a data tool or a programming language, identifying the repeated data in the intensive care data, and deleting the repeated data;
The abnormal value is processed by adopting a data tool or a programming language to check the severe care data based on the big data, identifying the abnormal value in the severe care data, and deleting or correcting the abnormal value;
processing the missing value, namely checking the intensive care data based on the big data by adopting a data tool or a programming language, identifying the missing value in the intensive care data, and deleting or filling the missing value;
Wherein, after deleting the duplicate data, processing the outlier and the missing value, verifying the critical care data, checking whether the duplicate data, the outlier and the missing value are still present in the critical care data, and deleting any non-duplicate, non-outlier and non-missing data.
Preferably, the data processing module further includes:
The data conversion unit is used for converting severe nursing data based on big data and comprises data standardization, data integration and storage;
Data standardization, namely converting the intensive care data based on the big data into a unified format by adopting a data standardization tool, eliminating dimension differences among the intensive care data based on the big data, and determining standardized intensive care data;
data integration, namely integrating severe care data from different sources into a unified view by adopting a data integration tool, so that the severe care data is convenient to analyze and report;
And (3) data storage, namely storing the integrated intensive care data into a safe database.
Preferably, the specific steps of integrating the data in the data processing module are as follows:
based on view display characteristics, establishing a logic data model, and carrying out data virtualization on critical care data based on the logic data model to obtain surface layer data;
Based on the data surface characteristics of the surface data, calculating to obtain a data matching value of the intensive care data according to the following formula;
Wherein, A data match value representing critical care data, n representing the number of characteristic attributes of the data surface features,A defined value of a data surface feature representing an i-th feature attribute,The attribute weight representing the i-th feature attribute,Representing the model weights of the logical data model,Representing data matching correction coefficients;
Based on the view display characteristics, calculating to obtain a view matching value displayed at each view position according to the following formula;
Wherein, A view matching value representing the view position display, e represents a constant, takes a value of 2.72,Representing the position feature value of the view position presentation,The location area weights representing the view location presentation,A presentation type value representing a presentation of a view location,Standard display coefficients representing view display characteristics,Representing standard view correction coefficients;
And matching the data matching value with the view matching value based on a preset numerical matching relationship, determining the corresponding relationship between the data surface layer data and view position display according to the matching result, and integrating the data of the surface layer data on the view position based on the corresponding relationship to obtain a unified display view.
Preferably, the sharing management platform includes:
the cooperative sharing module is used for establishing data sharing transmission connection between the transmitting end and the receiving end so as to cooperatively share the intensive care data;
the data analysis module is used for analyzing the severe nursing data and determining a severe nursing analysis result;
the remote management module is used for automatically early warning abnormal behaviors in the severe nursing process and remotely assisting nursing staff in guiding and managing the nursing work of the severe patients.
Preferably, the cooperative sharing module includes:
The port connection unit is used for establishing data sharing transmission connection between the transmitting end and the receiving end;
the transmitting terminal transmits an instruction for requesting to establish data sharing transmission connection to the receiving terminal;
After receiving an instruction of establishing data sharing transmission connection, which is transmitted by a transmitting end, from a receiving end, the receiving end checks a data transmission port of the transmitting end and judges whether the transmitting end has qualification of carrying out data sharing transmission with the receiving end;
When the transmitting end qualifies for data sharing transmission with the receiving end, the receiving end transmits an instruction for agreeing to establish data sharing transmission connection to the transmitting end;
After receiving an instruction for establishing the data sharing transmission connection by the transmitting end according to the agreement transmitted by the receiving end, the transmitting end establishes the data sharing transmission connection with the receiving end according to the instruction for establishing the data sharing transmission connection by the receiving end, and is used for carrying out sharing transmission on critical care data;
the data sharing unit is used for sharing the critical care data;
After the data sharing transmission connection is established between the transmitting end and the receiving end, the transmitting end transmits the intensive care data to the receiving end, so that the intensive care data are cooperatively shared.
Preferably, the data analysis module includes:
the standard storage unit is used for storing preset severe care standards;
The data analysis unit is used for analyzing the severe nursing data and determining a severe nursing analysis result;
acquiring shared critical care data;
based on the severe care standard, analyzing the severe care data, judging whether the severe care process has abnormal behaviors, and confirming a severe care analysis result;
The severe care data are in the severe care standard range, and the severe care analysis result shows that abnormal behaviors do not exist in the severe care process;
And if the critical care data are not in the critical care standard range, the critical care analysis result shows that abnormal behavior exists in the critical care process.
Preferably, the data analysis unit includes:
A first analysis unit for acquiring a first critical care standard range of each critical care type from the critical care standards, acquiring a type care value in the critical care type based on the critical care data, and judging whether the type care value is in the first critical care standard range;
if so, determining that the abnormal behavior of the single critical care type effect does not exist in the critical care analysis result in the critical care process;
Otherwise, determining that abnormal behaviors exist in the severe care process according to the severe care analysis result, and determining single abnormal behavior characteristics based on the severe care type;
a second analysis unit for acquiring a second critical care standard range of a plurality of critical care type comprehensive actions from the critical care standards after the critical care analysis result shows that the abnormal behavior of the single critical care type action does not exist in the critical care process, acquiring a type care value in the critical care type based on the critical care data, and judging whether the type care value is in the second critical care standard range;
If so, determining that the severe care analysis result does not have abnormal behavior in the severe care process;
Otherwise, determining that abnormal behaviors exist in the intensive care process according to the intensive care analysis result, determining the type number of the intensive care type and the type characteristics of the intensive care type within the range of the second intensive care standard, determining a first abnormal weight based on the type number, determining a second abnormal weight based on the type characteristics of the intensive care type, integrating the single behavior characteristics of all the intensive care types based on the type association of the intensive care type to obtain comprehensive abnormal behavior characteristics, and weighting the comprehensive abnormal behavior characteristics based on the first abnormal weight and the second abnormal weight to obtain target comprehensive abnormal behavior characteristics;
the result display unit is used for displaying the severe nursing analysis result, the single abnormal behavior characteristic and the target comprehensive abnormal behavior characteristic when the abnormality exists.
Preferably, the remote management module includes:
the abnormal early warning unit is used for automatically early warning abnormal behaviors in the intensive care process, reminding nursing staff of paying attention to the intensive care patients in time and managing the intensive care patients in time;
The remote coordination unit is used for remotely assisting nursing staff in guiding and managing nursing work of severe patients, and making remote guiding comments in time according to abnormal behaviors in the severe nursing process, and intelligently guiding nursing staff remotely, so that medical resources are optimally configured and shared.
Compared with the prior art, the invention has the beneficial effects that:
the invention collects basic information data, vital sign data, medical examination data, medication record data and nursing record data of a critical patient, determines critical care data based on big data, processes the critical care data based on the big data, determines standardized critical care data, stores the standardized critical care data for standby, and shares, analyzes and remotely manages the critical care data based on the big data, thereby effectively and cooperatively sharing the critical care data, effectively analyzing and managing critical care behaviors and improving the medical working efficiency and quality.
Drawings
Fig. 1 is a block diagram of a system for collaborative sharing of critical care data according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the problem that the existing intensive care data cannot be effectively shared in a collaborative manner, and the intensive care behavior cannot be effectively analyzed and managed, resulting in low medical working efficiency and quality, referring to fig. 1, the present embodiment provides the following technical scheme:
the intensive care data collaborative sharing system comprises a data acquisition module, a data processing module and a sharing management platform.
The data acquisition module acquires basic information data, vital sign data, medical examination data, medication record data and nursing record data of a severe patient, determines severe nursing data based on big data, processes the severe nursing data based on the big data through the data processing module, determines standardized severe nursing data, stores the standardized severe nursing data for later use, and shares, analyzes and remotely manages the severe nursing data based on the big data through the sharing management platform based on the intelligent chip, so that the severe nursing data can be effectively cooperated and shared, the severe nursing behavior can be effectively analyzed and managed, and the medical work efficiency and quality can be improved.
In this embodiment, the sharing management platform is built with an intelligent chip, and the intelligent chip is a microcomputer, and can be embedded in the sharing management platform, so that the intensive care data based on big data can be shared, analyzed and remotely managed based on the intelligent chip.
In this embodiment, as a preferred technical solution of the present invention, the data acquisition module includes:
The basic information acquisition unit is used for acquiring basic information of a severe patient and determining basic information data of the severe patient, wherein the basic information comprises names, ages, sexes, addresses, contact modes, patient IDs, hospitalization numbers, past medical history, allergy history and operation history of the severe patient;
The patient ID and the hospital number are used to uniquely identify the patient.
The vital sign acquisition unit is used for acquiring the body temperature, the respiratory frequency, the respiratory depth, the heart rate, the blood pressure and the blood oxygen saturation of the severe patient and determining vital sign data of the severe patient;
It should be noted that, the body temperature reflects the body temperature of the critical patient, helps to judge infection or other diseases, the respiratory rate and depth reflect the respiratory times and intensity of the critical patient, and can be used to understand the state of respiratory system, the heart rate reflects the heartbeat frequency of the critical patient, the blood pressure includes systolic pressure and diastolic pressure, reflects the function of the cardiovascular system of the critical patient, the blood oxygen saturation is the oxygen content in blood, reflects the oxygenation condition of the critical patient, and these data can reflect the vital sign and organ function state of the critical patient.
The medical examination acquisition unit is used for examining blood and urine of a severe patient, diagnosing the severe patient by adopting X-ray, CT or MRI, and determining medical examination data of the severe patient;
It should be noted that, the blood test includes blood routine, electrolyte, blood sugar and liver and kidney functions, etc. for evaluating the physiological state of the serious patient, the urine test is used for analyzing the components in urine, helping to diagnose the diseases of the urinary system, the X-ray, CT or MRI is used for diagnosing the internal structure and the pathological changes of the serious patient, the data can help doctors to know the disease condition and the drug curative effect of the serious patient, and can help doctors to determine the range and the property of the disease, and then the corresponding treatment scheme is formulated.
The medication record acquisition unit is used for acquiring the medication name, dosage, usage, medication time and anaphylactic reaction or adverse reaction of the serious patient to the medicine and determining medication record data of the serious patient;
The medicine treatment condition and the medicine curative effect of the severe patient can be reflected by collecting the medicine records and the medicine response.
The nursing record acquisition unit is used for acquiring nursing measures, nursing actions and nursing plans of the severe patients and determining nursing record data of the severe patients;
it should be noted that nursing measures include nursing operations such as oxygen inhalation, transfusion, catheterization and turning over, nursing actions mainly concern whether nursing operations are normal and accurate to nurses, and mainly include the following aspects, such as operation standardization, namely checking whether nurses care according to standard operation procedures, such as aseptic operations and hand hygiene, etc., action accuracy, such as assessing the accuracy of nurses in executing nursing actions, such as controlling the dosage of injected medicines and transfusion speed, etc., and communication and coordination, such as analyzing whether the nurses are effective in communication with patients, families and other medical staff in the nursing process, and coordinating nursing work, wherein nursing plans are formulated according to illness states and requirements of severe patients.
Specifically, critical care data based on big data is determined based on critical patient basic information data, critical patient vital sign data, critical patient medical examination data, critical patient medication record data, and critical patient care record data.
In this embodiment, as a preferred technical solution of the present invention, the data processing module includes:
the data cleaning unit is used for cleaning the severe nursing data based on the big data;
includes deleting repeated data, processing abnormal value and missing value;
the repeated data is deleted, namely the data tool or the programming language is adopted to check the intensive care data based on the big data, the repeated data in the intensive care data is identified, and the repeated data is deleted;
The abnormal value is processed by adopting a data tool or a programming language to check the severe care data based on the big data, identifying the abnormal value in the severe care data, and deleting or correcting the abnormal value;
The method comprises the steps of processing missing values, namely checking severe care data based on big data by adopting a data tool or a programming language, identifying the missing values in the severe care data, and deleting or filling the missing values;
After deleting the duplicate data and processing the abnormal value and the missing value, the critical care data is verified to determine whether the duplicate data, the abnormal value and the missing value are still present in the critical care data, and whether any non-duplicate, non-abnormal and non-missing data is deleted.
By cleaning the critical care data based on the large data, the repeated data, the abnormal value, and the missing value in the critical care data can be removed, and the processing accuracy and the processing efficiency of the critical care data can be improved.
In this embodiment, as a preferred technical solution of the present invention, the data processing module further includes:
a data conversion unit for converting critical care data based on big data;
The method comprises data standardization, data integration and storage;
the data standardization is to convert the intensive care data based on big data into a unified format by adopting a data standardization tool, eliminate the dimensional difference among the intensive care data based on the big data and determine standardized intensive care data;
The data integration is to integrate the intensive care data from different sources into a unified view by adopting a data integration tool, so that the intensive care data is convenient to analyze and report;
And storing the integrated intensive care data into a safe database.
In this embodiment, as a preferred technical solution of the present invention, the specific steps of integrating data in the data processing module are as follows:
based on view display characteristics, establishing a logic data model, and carrying out data virtualization on critical care data based on the logic data model to obtain surface layer data;
Based on the data surface characteristics of the surface data, calculating to obtain a data matching value of the intensive care data according to the following formula;
Wherein, A data match value representing critical care data, n representing the number of characteristic attributes of the data surface features,A defined value of a data surface feature representing an i-th feature attribute,The attribute weight representing the i-th feature attribute,Representing the model weights of the logical data model,Representing data matching correction coefficients;
Based on the view display characteristics, calculating to obtain a view matching value displayed at each view position according to the following formula;
Wherein, A view matching value representing the view position display, e represents a constant, takes a value of 2.72,Representing the position feature value of the view position presentation,The location area weights representing the view location presentation,A presentation type value representing a presentation of a view location,Standard display coefficients representing view display characteristics,Representing standard view correction coefficients;
And matching the data matching value with the view matching value based on a preset numerical matching relationship, determining the corresponding relationship between the data surface layer data and view position display according to the matching result, and integrating the data of the surface layer data on the view position based on the corresponding relationship to obtain a unified display view.
In this embodiment, the view presentation features are determined from the views of the data integration.
In this embodiment, the complexity of the physical data is hidden by creating a logical data model. This approach allows users and applications to access data through the logical layer without having to know the physical storage details of the underlying data, facilitating understanding of critical care data.
In the embodiment, the preset numerical matching relation is designed in advance according to the association between the view display characteristics and the data surface layer characteristics, and the display of the surface layer data on the view position can be defined through the preset numerical matching relation, so that a foundation is provided for data integration.
In this embodiment, the parameter value in the data matching value of each critical care data is calculated to be a value range (0, 1) which is defined in advance.
In this embodiment, a value range predefined by a parameter value in the view matching value displayed at each view position is calculated to be (0, 1), a standard view correction coefficient is a constant, a standard display coefficient of the view display feature is specifically determined according to an actual situation and is specifically determined according to an actual situation, and a position area weight displayed at the view position is determined by position information of the view position in the whole view.
The design scheme has the beneficial effects that after the view display characteristic mechanical energy data is virtualized, the data integration of the surface layer data on the view position is realized according to the relation between the matching value of the virtualized data and the view matching value displayed on the view position, the unified display view is obtained, the data integration is realized, the characteristic condition of the surface layer characteristic of the data and the characteristic condition of the view display characteristic are considered in the calculation process of the matching value and the view matching value displayed on the view position, the accuracy of the matching value is ensured to be obtained, the accurate data integration is realized, the accurate display view is obtained, and a data basis is provided for sharing, analyzing and remote management of the follow-up severe nursing data.
By converting the critical care data based on the big data, standardized critical care data can be determined, so that subsequent analysis of the critical care data is facilitated.
In this embodiment, as a preferred technical solution of the present invention, the sharing management platform includes a collaboration sharing module, a data analysis module, and a remote management module.
The cooperative sharing module is used for establishing data sharing transmission connection between the transmitting end and the receiving end so as to cooperatively share the intensive care data;
In this embodiment, as a preferred technical solution of the present invention, the cooperative sharing module includes:
The port connection unit is used for establishing data sharing transmission connection between the transmitting end and the receiving end;
the transmitting terminal transmits an instruction for requesting to establish data sharing transmission connection to the receiving terminal;
After receiving an instruction of establishing data sharing transmission connection, which is transmitted by a transmitting end, from a receiving end, the receiving end checks a data transmission port of the transmitting end and judges whether the transmitting end has qualification of carrying out data sharing transmission with the receiving end;
When the transmitting end qualifies for data sharing transmission with the receiving end, the receiving end transmits an instruction for agreeing to establish data sharing transmission connection to the transmitting end;
After receiving an instruction for establishing the data sharing transmission connection by the transmitting end according to the agreement transmitted by the receiving end, the transmitting end establishes the data sharing transmission connection with the receiving end according to the instruction for establishing the data sharing transmission connection by the receiving end, and is used for carrying out sharing transmission on critical care data;
the data sharing unit is used for sharing the critical care data;
After the data sharing transmission connection is established between the transmitting end and the receiving end, the transmitting end transmits the intensive care data to the receiving end, so that the intensive care data are cooperatively shared.
The data analysis module is used for analyzing the severe nursing data and determining a severe nursing analysis result;
in this embodiment, as a preferred technical solution of the present invention, the data analysis module includes:
the standard storage unit is used for storing preset severe care standards;
The data analysis unit is used for analyzing the severe nursing data and determining a severe nursing analysis result;
acquiring shared critical care data;
based on the severe care standard, analyzing the severe care data, judging whether the severe care process has abnormal behaviors, and confirming a severe care analysis result;
The severe care data are in the severe care standard range, and the severe care analysis result shows that abnormal behaviors do not exist in the severe care process;
And if the critical care data are not in the critical care standard range, the critical care analysis result shows that abnormal behavior exists in the critical care process.
In this embodiment, as a preferred technical solution of the present invention, the data analysis unit includes:
A first analysis unit for acquiring a first critical care standard range of each critical care type from the critical care standards, acquiring a type care value in the critical care type based on the critical care data, and judging whether the type care value is in the first critical care standard range;
if so, determining that the abnormal behavior of the single critical care type effect does not exist in the critical care analysis result in the critical care process;
Otherwise, determining that abnormal behaviors exist in the severe care process according to the severe care analysis result, and determining single abnormal behavior characteristics based on the severe care type;
a second analysis unit for acquiring a second critical care standard range of a plurality of critical care type comprehensive actions from the critical care standards after the critical care analysis result shows that the abnormal behavior of the single critical care type action does not exist in the critical care process, acquiring a type care value in the critical care type based on the critical care data, and judging whether the type care value is in the second critical care standard range;
If so, determining that the severe care analysis result does not have abnormal behavior in the severe care process;
Otherwise, determining that abnormal behaviors exist in the intensive care process according to the intensive care analysis result, determining the type number of the intensive care type and the type characteristics of the intensive care type within the range of the second intensive care standard, determining a first abnormal weight based on the type number, determining a second abnormal weight based on the type characteristics of the intensive care type, integrating the single behavior characteristics of all the intensive care types based on the type association of the intensive care type to obtain comprehensive abnormal behavior characteristics, and weighting the comprehensive abnormal behavior characteristics based on the first abnormal weight and the second abnormal weight to obtain target comprehensive abnormal behavior characteristics;
the result display unit is used for displaying the severe nursing analysis result, the single abnormal behavior characteristic and the target comprehensive abnormal behavior characteristic when the abnormality exists.
In this embodiment, the standard of value of the single standard in the first critical care standard range is greater than the standard of value of the single standard in the second critical care standard range, the first critical care standard range is used for judging the result of the single critical data individual action, the second critical care standard range is used for judging the result of the multiple critical data comprehensive actions, and the comprehensive action judgment is performed after the single action judgment is completed.
In this embodiment, the greater the number of types, the greater the first anomaly weight, and the greater the image of the type feature of the critical care type for patient health, the greater the corresponding second anomaly weight.
In this embodiment, the type association of the critical care type is determined based on actual data or experience.
In this embodiment, the target synthetic anomalous behavior feature adds an anomalous degree of the anomalous behavior feature as compared to the synthetic anomalous behavior feature.
The design scheme has the advantages that the severe care analysis result is determined by analyzing the severe care data, the independent action result of single severe data and the comprehensive action result of a plurality of severe data are not considered in the analysis process, different standard data ranges are allocated for the independent action data and the comprehensive action data, the comprehensive action judgment is carried out after the independent action judgment is finished, and in the comprehensive judgment, the type characteristics of the severe care type, the type association of the severe care type and the type quantity of the severe care type are combined for analysis, so that the target comprehensive abnormal behavior characteristics with abnormality are obtained, the effective analysis and management of the severe care behavior are realized, and the medical work efficiency and the medical work quality are improved.
The remote management module is used for automatically early warning abnormal behaviors in the severe nursing process and remotely assisting nursing staff in guiding and managing the nursing work of the severe patients.
In this embodiment, as a preferred technical solution of the present invention, the remote management module includes:
the abnormal early warning unit is used for automatically early warning abnormal behaviors in the intensive care process, reminding nursing staff of paying attention to the intensive care patients in time and managing the intensive care patients in time;
The remote coordination unit is used for remotely assisting nursing staff in guiding and managing nursing work of severe patients, and timely making remote guiding comments according to abnormal behaviors in the severe nursing process, and intelligently guiding nursing staff remotely, so that medical resources are optimally configured and shared, and the utilization efficiency of the medical resources can be improved.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The intensive care data cooperative sharing system is characterized by comprising:
The data acquisition module is used for acquiring severe nursing data based on big data;
the data processing module is used for processing severe care data based on big data;
And the sharing management platform is used for sharing, analyzing and remotely managing the severe nursing data based on the big data based on the intelligent chip.
2. The intensive care data collaborative sharing system of claim 1, wherein the data acquisition module comprises:
The basic information acquisition unit is used for acquiring basic information of a severe patient and determining basic information data of the severe patient, wherein the basic information comprises names, ages, sexes, addresses, contact modes, patient IDs, hospitalization numbers, past medical history, allergy history and operation history of the severe patient;
The vital sign acquisition unit is used for acquiring the body temperature, the respiratory frequency, the respiratory depth, the heart rate, the blood pressure and the blood oxygen saturation of the severe patient and determining vital sign data of the severe patient;
The medical examination acquisition unit is used for examining blood and urine of a severe patient, diagnosing the severe patient by adopting X-ray, CT or MRI, and determining medical examination data of the severe patient;
The medication record acquisition unit is used for acquiring the medication name, dosage, usage, medication time and anaphylactic reaction or adverse reaction of the serious patient to the medicine and determining medication record data of the serious patient;
The nursing record acquisition unit is used for acquiring nursing measures, nursing actions and nursing plans of the severe patients and determining nursing record data of the severe patients;
wherein the critical care data based on the big data is determined based on critical patient basic information data, critical patient vital sign data, critical patient medical examination data, critical patient medication record data and critical patient care record data.
3. The critical care data collaborative sharing system of claim 2, wherein the data processing module comprises:
The data cleaning unit is used for cleaning the severe nursing data based on big data and comprises the steps of deleting repeated data, processing abnormal values and missing values;
Deleting repeated data, namely checking the intensive care data based on the big data by adopting a data tool or a programming language, identifying the repeated data in the intensive care data, and deleting the repeated data;
The abnormal value is processed by adopting a data tool or a programming language to check the severe care data based on the big data, identifying the abnormal value in the severe care data, and deleting or correcting the abnormal value;
processing the missing value, namely checking the intensive care data based on the big data by adopting a data tool or a programming language, identifying the missing value in the intensive care data, and deleting or filling the missing value;
Wherein, after deleting the duplicate data, processing the outlier and the missing value, verifying the critical care data, checking whether the duplicate data, the outlier and the missing value are still present in the critical care data, and deleting any non-duplicate, non-outlier and non-missing data.
4. The critical care data collaborative sharing system according to claim 3, wherein the data processing module further comprises:
The data conversion unit is used for converting severe nursing data based on big data and comprises data standardization, data integration and storage;
Data standardization, namely converting the intensive care data based on the big data into a unified format by adopting a data standardization tool, eliminating dimension differences among the intensive care data based on the big data, and determining standardized intensive care data;
data integration, namely integrating severe care data from different sources into a unified view by adopting a data integration tool, so that the severe care data is convenient to analyze and report;
And (3) data storage, namely storing the integrated intensive care data into a safe database.
5. The intensive care data collaborative sharing system of claim 4, wherein the data processing module performs the following specific steps for data integration:
based on view display characteristics, establishing a logic data model, and carrying out data virtualization on critical care data based on the logic data model to obtain surface layer data;
Based on the data surface characteristics of the surface data, calculating to obtain a data matching value of the intensive care data according to the following formula;
Wherein, A data match value representing critical care data, n representing the number of characteristic attributes of the data surface features,A defined value of a data surface feature representing an i-th feature attribute,The attribute weight representing the i-th feature attribute,Representing the model weights of the logical data model,Representing data matching correction coefficients;
Based on the view display characteristics, calculating to obtain a view matching value displayed at each view position according to the following formula;
Wherein, A view matching value representing the view position display, e represents a constant, takes a value of 2.72,Representing the position feature value of the view position presentation,The location area weights representing the view location presentation,A presentation type value representing a presentation of a view location,Standard display coefficients representing view display characteristics,Representing standard view correction coefficients;
And matching the data matching value with the view matching value based on a preset numerical matching relationship, determining the corresponding relationship between the data surface layer data and view position display according to the matching result, and integrating the data of the surface layer data on the view position based on the corresponding relationship to obtain a unified display view.
6. The critical care data collaborative sharing system according to claim 4, wherein the sharing management platform comprises:
the cooperative sharing module is used for establishing data sharing transmission connection between the transmitting end and the receiving end so as to cooperatively share the intensive care data;
the data analysis module is used for analyzing the severe nursing data and determining a severe nursing analysis result;
the remote management module is used for automatically early warning abnormal behaviors in the severe nursing process and remotely assisting nursing staff in guiding and managing the nursing work of the severe patients.
7. The critical care data co-sharing system of claim 6, wherein the co-sharing module comprises:
The port connection unit is used for establishing data sharing transmission connection between the transmitting end and the receiving end;
the transmitting terminal transmits an instruction for requesting to establish data sharing transmission connection to the receiving terminal;
After receiving an instruction of establishing data sharing transmission connection, which is transmitted by a transmitting end, from a receiving end, the receiving end checks a data transmission port of the transmitting end and judges whether the transmitting end has qualification of carrying out data sharing transmission with the receiving end;
When the transmitting end qualifies for data sharing transmission with the receiving end, the receiving end transmits an instruction for agreeing to establish data sharing transmission connection to the transmitting end;
After receiving an instruction for establishing the data sharing transmission connection by the transmitting end according to the agreement transmitted by the receiving end, the transmitting end establishes the data sharing transmission connection with the receiving end according to the instruction for establishing the data sharing transmission connection by the receiving end, and is used for carrying out sharing transmission on critical care data;
the data sharing unit is used for sharing the critical care data;
After the data sharing transmission connection is established between the transmitting end and the receiving end, the transmitting end transmits the intensive care data to the receiving end, so that the intensive care data are cooperatively shared.
8. The critical care data collaborative sharing system according to claim 7, wherein the data analysis module comprises:
the standard storage unit is used for storing preset severe care standards;
The data analysis unit is used for analyzing the severe nursing data and determining a severe nursing analysis result;
acquiring shared critical care data;
based on the severe care standard, analyzing the severe care data, judging whether the severe care process has abnormal behaviors, and confirming a severe care analysis result;
The severe care data are in the severe care standard range, and the severe care analysis result shows that abnormal behaviors do not exist in the severe care process;
And if the critical care data are not in the critical care standard range, the critical care analysis result shows that abnormal behavior exists in the critical care process.
9. The intensive care data collaborative sharing system according to claim 8, wherein the data analysis unit comprises:
A first analysis unit for acquiring a first critical care standard range of each critical care type from the critical care standards, acquiring a type care value in the critical care type based on the critical care data, and judging whether the type care value is in the first critical care standard range;
if so, determining that the abnormal behavior of the single critical care type effect does not exist in the critical care analysis result in the critical care process;
Otherwise, determining that abnormal behaviors exist in the severe care process according to the severe care analysis result, and determining single abnormal behavior characteristics based on the severe care type;
a second analysis unit for acquiring a second critical care standard range of a plurality of critical care type comprehensive actions from the critical care standards after the critical care analysis result shows that the abnormal behavior of the single critical care type action does not exist in the critical care process, acquiring a type care value in the critical care type based on the critical care data, and judging whether the type care value is in the second critical care standard range;
If so, determining that the severe care analysis result does not have abnormal behavior in the severe care process;
Otherwise, determining that abnormal behaviors exist in the intensive care process according to the intensive care analysis result, determining the type number of the intensive care type and the type characteristics of the intensive care type within the range of the second intensive care standard, determining a first abnormal weight based on the type number, determining a second abnormal weight based on the type characteristics of the intensive care type, integrating the single behavior characteristics of all the intensive care types based on the type association of the intensive care type to obtain comprehensive abnormal behavior characteristics, and weighting the comprehensive abnormal behavior characteristics based on the first abnormal weight and the second abnormal weight to obtain target comprehensive abnormal behavior characteristics;
the result display unit is used for displaying the severe nursing analysis result, the single abnormal behavior characteristic and the target comprehensive abnormal behavior characteristic when the abnormality exists.
10. The critical care data collaborative sharing system according to claim 8, wherein the remote management module comprises:
the abnormal early warning unit is used for automatically early warning abnormal behaviors in the intensive care process, reminding nursing staff of paying attention to the intensive care patients in time and managing the intensive care patients in time;
The remote coordination unit is used for remotely assisting nursing staff in guiding and managing nursing work of severe patients, and making remote guiding comments in time according to abnormal behaviors in the severe nursing process, and intelligently guiding nursing staff remotely, so that medical resources are optimally configured and shared.
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