Extending the Power of Problem Oriented Medical Record with Disease Association Discovery: The Case Study of Empowering QL4POMR with OpenTargets

DOI:10.21742/ijhit.2653-309X.2022.2.1.01

AUTHORS

Sabah Mohammed,Department of Computer Science, Lakehead University, Canada

Jinan Fiaidhi,Department of Computer Science, Lakehead University, Canada

ABSTRACT

Medical informatics was profoundly influenced by clinical case presentations for providing evidence-based medicine. However, concerns about weak inferences and the high likelihood of bias associated with such reports have resulted in minimal attention being devoted to developing frameworks for approaching, appraising, synthesizing, and applying evidence derived from case reports/series. Nevertheless, the nature of being in a connected world through the emerging information technologies presented a wind of change to link these clinical cases to create together with other knowledge sources from basic science to enhance human health and well-being as well as to build stronger evidence-based medicine. This article is an attempt to describe how to link clinical cases described through the SOAP (Subjective, Objective, Assessment, and Plan) note to the electronic healthcare record and the other associated clinical information from diverse courses. It is part of our efforts to extend our developed QL4POMR problem-oriented medical record to provide more associated clinical information on related drugs and evidence that strengthen the clinician's decision for diagnosis and prognosis. Providing such clinical association was made through the incorporation of a data layer using the Gatsby API and the external biomedical associations through the OpenTargets API.