| Autor: |
Abedian S; The Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria., Taucher C; Institute of eHealth, University of Applied Sciences - FH JOANNEUM, Graz, Austria., Perscha S; Institute of eHealth, University of Applied Sciences - FH JOANNEUM, Graz, Austria., Djuris M; Institute of eHealth, University of Applied Sciences - FH JOANNEUM, Graz, Austria., Hussein R; The Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria., Hanke S; Institute of eHealth, University of Applied Sciences - FH JOANNEUM, Graz, Austria. |
| Abstrakt: |
In recent years, the adoption of wearable gadgets such as Fitbit has revolutionized the way individuals track and monitor their personal activity data. These devices provide valuable in-sights into an individual's physical activity levels, sleep patterns, and overall health metrics. Integrating this data into healthcare informatics systems can offer significant benefits in terms of personalized healthcare delivery and improved patient outcomes. This paper explores the synergistic integration of Fitbit-generated personal activity data using the openEHR Reference Model in healthcare informatics as a practical case study in patient-generated health data (PGHD) integration based on health informatics standards as a framework for the representation and exchange of Electronic Health Records (EHRs). The synergistic integration of Fitbit-generated personal activity data through openEHR and FHIR standards models also covers the way for advanced analytics and population health management. By linking and analyzing data from various sources, including sensors and wearable devices, healthcare organizations can identify trends, patterns, and insights that can guide population health strategies, preventive care initiatives, and personalized treatment plans, in addition to aiding physicians in follow-up care. |
