EECS500 Fall 2012 Department Seminar

Amit Sheth
Semantic technology empowering real world outcomes in biomedical research and clinical practices
Wright State University
White Bldg., Room 411
10:15-11:30 AM
November 26, 2012

Biomedical and 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 (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 biomedical researchers or practicing clinicians. Examples include:

  • Active Semantic Electronic Medical Record (ASEMR):  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.
  • Semantics and Services enabled Problem Solving Environment for T.cruzi (SPSE): Development of open source ontologies, extraction and annotation using ontologies, domain-specific (semantic) provenance and their application to identification of interventional targets. In collaboration with Center for Tropical and Emerging Global Diseases at UGA, and NCBO.
  • 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.
  • 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 Loperamid. 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. ADHF study in collaboration with Ohio State Wexner Medical Center.

Amit Sheth (http://knoesis.org/amit) is an educator, researcher and entrepreneur. He is the LexisNexis Ohio Eminent Scholar at Wright State University (WSU). He is the founding director of Kno.e.sis (http://knoesis.org) - the Ohio Center of Excellence in Knowledge-enabled Computing, which is one of Ohio's Centers of Excellence in BioHealth Innovation.  Kno.e.sis’ activities have made WSU among the top 10 ranked organizations in World Wide Web (WWW) in world in terms of 5-yr research impact. Prof. Sheth is among the top 100 most cited authors in Computer Science, among the top 5 in WWW, and among top 25 in databases. His work has led to several commercial products and open source resources, many real-world applications and three companies. His advisees are exceptionally well placed in academia, industry research labs and start ups.