Translational research as well as clinical practice are increasingly data driven. Activities routinely involve large number of devices, data and people, resulting in the challenges associated with volume, velocity (change), variety...
moreTranslational research as well as clinical practice are increasingly data driven. Activities routinely involve large number of devices, data and people, resulting in the challenges associated with volume, velocity (change), variety (heterogeneity) and veracity (provenance, quality). Equally important is to realize the challenge of serving the needs of broader ecosystems of people and organizations, extending traditional stakeholders like drug makers, clinicians and policy makers, to increasingly technology savvy and information empowered patients. We believe that semantics is becoming centerpiece of informatics solutions that convert data into meaningful, contextually relevant information and insights that lead to optimal decisions for translational research and 360 degree health, fitness and well-being.
In this talk, I will provide a series of snapshots of efforts in which semantic approach and technology is the key enabler. I will emphasize real-world and in-use projects, technologies and systems, involving significant collaborations between my team and practicing clinicians and healthcare solution provides. Examples include:
• Active Semantic Electronic Medical Record (ASEMR paper, ASEMR demo): This system deployed at Athens Heart Center and its partners since 2006 uses automatic semantic annotation with respect to three ontologies, and rule-based EMR quality and error alert system, leading to higher quality EMRs, fewer errors and time saving in clinical practice.
• Data Mining of Cardiology data: Data driven knowledge acquisition for domain knowledge enrichment leading to comprehensive cardiology ontology development, its use in finding and correcting NLP processing errors of EMRs, and development of a commercial semantic search engine in collaboration with ezDI supporting core measures and other key challenges and opportunities related to the Affordable Healthcare Act.
• Semantic Search, Browsing and Literature Based Discovery: A semantic search and browsing technology embodied in Cuebee, Doozer, SCOONER and iExplore tools provide ability to harvest and utilize extensive background knowledge for semantic search and contextual browsing to provide insights from scientific literature. SCOONER was used by AFRL biomedical researchers in human performance and cognition. A recent work with NLM has demonstrated recovering and decomposing Swanson's Raynaud Syndrome-Fish Oil Hypothesis semi-automatically.
• PREscription Drug abuse Online Surveillance and Epidemiology (PREDOSE): development of semantic techniques and tools for analyzing user generated content on social media related to the illicit use of pharmaceutical opioids, that recently led to discovery of Extra-Medical Use of Loperamide. In collaboration with Center for Interventions, Treatment and Addictions Research (CITAR) at WSU.
• kHealth: development of a knowledge-enhanced sensing and mobile computing applications (using low cost sensors and smartphone), along with ability to convert low level observations into clinically relevant abstractions. One of the early-stage ongoing research involves using kHealth for reducing preventable ADHF readmissions and asthma management. ADHF study in collaboration with Ohio State Wexner Medical Center.
More at
http://knoesis.org/amit/hcls
