@inproceedings{23a22ec00e02445a9f6f62a6634d25f2,
title = "Clinician's perspective on trusting Patient Generated Health Data for use in clinical decision-making: A qualitative interview study",
abstract = "This article explores the concept of patient-generated health data (PGHD) and its potential to be used in clinical decision-making. PGHD is data created and recorded by patients outside of clinical settings, such as through wearable technology or mobile apps. While PGHD has the potential to provide valuable insights into patients' health and behaviour, little is known about the perspective of clinicians when facing with the decision whether to trust or distrust PGHD. 13 clinicians of various disciplines, including nurses and doctors were recruited using the snowball sampling method. Qualitative methods were used in this study to analyse the results. The results suggest that some aspects of Quality, Provenance and Risk are important to clinicians and that there is a need for guidance and governance to assist clinicians in this decision.",
keywords = "Patient Generated Health Data, PGHD, Provenance, Quality, Risk, Trust",
author = "Lucy Hederman and Damon Berry and Alfredo Ormazabal",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023 ; Conference date: 22-06-2023 Through 24-06-2023",
year = "2023",
doi = "10.1109/CBMS58004.2023.00226",
language = "English",
isbn = "9798350312249",
series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "252--256",
editor = "Rosa Sicilia and Bridget Kane and Almeida, \{Joao Rafael\} and Myra Spiliopoulou and Andrades, \{Jose Alberto Benitez\} and Giuseppe Placidi and Gonzalez, \{Alejandro Rodriguez\}",
booktitle = "Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023",
address = "United States",
}