Our proposal on “Automated Integration of Patient-Generated Data with the Electronic Health Record Data”, PI, Rashidi, has been selected for funding by CTSI-UFII.

Abstract:

In recent years, patients have increasingly been using mobile health (mHealth) applications for monitoring their health conditions. While existing sensors and devices generate useful information for the patients, currently such information is not shared with the healthcare providers, thus preventing timely monitoring and interventions procedures. We will develop a prototype to integrate patient-generated data from a smartwatch with electronic health record (EHR) data and to create the interface for practitioners to use this information for patient care. Our existing smartwatch platform collects daily patient reported outcomes (e.g. pain, mood, sleep, and fatigue). It also automatically captures sensor data on activity and mobility patterns.  The integrated interface will be developed using the Fast Healthcare Interoperability Resources (FHIR) standard to exchange patient-generated data with Epic® health record system.