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Paper Number
ICIS2025-1060
Paper Type
Complete
Abstract
This paper investigates the integration of Patient-Generated Health Data (PGHD) into clinical systems, addressing a critical gap between rapidly evolving consumer health technologies and healthcare organizations. Adopting a systematic literature review and a taxonomy development methodology, this research derives a structured framework comprising five key dimensions: Integration Method, PGHD Source, Interface, Technical Standards and Stakeholder Role. The taxonomy synthesizes technical, clinical, and operational perspectives, providing a holistic classification of PGHD integration efforts. By explicitly addressing previously fragmented knowledge, the taxonomy supports integrating PGHD into electronic health records (EHRs) and clinical workflows. It contributes to the information systems and digital health literature by delivering a theoretically robust, practically relevant framework, setting foundational groundwork for future research and facilitating a more effective, scalable, and patient-centered integration of PGHD into healthcare delivery.
Recommended Citation
Ukena, Torben and Alt, Rainer, "A Taxonomy for Integrating Patient-Generated Health Data into Clinical Systems" (2025). ICIS 2025 Proceedings. 2.
https://aisel.aisnet.org/icis2025/is_health/ishealthcare/2
A Taxonomy for Integrating Patient-Generated Health Data into Clinical Systems
This paper investigates the integration of Patient-Generated Health Data (PGHD) into clinical systems, addressing a critical gap between rapidly evolving consumer health technologies and healthcare organizations. Adopting a systematic literature review and a taxonomy development methodology, this research derives a structured framework comprising five key dimensions: Integration Method, PGHD Source, Interface, Technical Standards and Stakeholder Role. The taxonomy synthesizes technical, clinical, and operational perspectives, providing a holistic classification of PGHD integration efforts. By explicitly addressing previously fragmented knowledge, the taxonomy supports integrating PGHD into electronic health records (EHRs) and clinical workflows. It contributes to the information systems and digital health literature by delivering a theoretically robust, practically relevant framework, setting foundational groundwork for future research and facilitating a more effective, scalable, and patient-centered integration of PGHD into healthcare delivery.
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21-Healthcare