Author:
Rishi Saripalle
Affiliation:
School of Information Technology, Illinois State University, Normal, Illinois, 61790 and U.S.A.
Keyword(s):
HL7 Fast Health Interoperability Resources (FHIR), Physical Activity Resource, EHR Physical Activity, OpenEMR, Exercise, Wearables.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Cloud Computing
;
Devices
;
e-Health
;
Electronic Health Records and Standards
;
Health Information Systems
;
Human-Computer Interaction
;
Physiological Computing Systems
;
Platforms and Applications
;
Wearable Sensors and Systems
Abstract:
Wearables allow individuals to track, analyze, and visualize their physical activities and associated data such as vitals, activity information, etc. across time. But, none of this activity data is anywhere to be found in an electronic health record - the primary source of patient medical data for the healthcare providers. This inability doesn’t allow experts to view the complete health summary of an individual and also, activity data can play a key role in healthcare decisions. This problem is due to the lack of standards that can capture activity data from disparate sources (e.g., wearables, smart watches, trackers, etc.) and integrate it with an EHR. This research article identifies and provides a detailed analysis of the key factors contributing to the problem. Based on the detailed analysis, we design an interoperable model by leveraging HL7 FHIR standard to capture activity data from wearables and develop it using FHIR HAPI - an implementation of HL7 FHIR. This initial prototyp
e is tested by capturing Fitbit data and integrating it with OpenEMR - an open source EHR.
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