Through the growing spread of eHealth applications, users are now able to easily generate vast amounts of personal, health data. However, to this date it is unclear what the role of patient-generated health data (PGHD) in healthcare is, based on an IS perspective. This promising source of personalized patient data holds the big opportunity of improving diagnosis and treatment of diseases. Therefore, we address this topic using a structured literature review. Based on an analysis of 131 papers, we provide insights into three major literature streams: (a) PGHD collection methods, (b) integration of PGHD into clinical workflows and (c) influence of PGHD on patient clinician interactions. Our findings present the current research on these three literature streams and highlight the benefits and challenges of PGHD. This paper contributes to the understanding of PGHD usage in healthcare from an IS viewpoint and provides a starting point for future IS research.
Reindl-Spanner, Philipp; Prommegger, Barbara; Gensichen, Jochen; and Krcmar, Helmut, "Insights on Patient-Generated Health Data in Healthcare: A Literature Review" (2022). PACIS 2022 Proceedings. 26.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.