Co-development of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data

Alfredo Ormazabal, Damon Berry, Lucy Hederman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Patient-Generated Health Data (PGHD) holds promise for enhancing personalized healthcare, but its diverse origins pose trust challenges for clinicians. This article outlines the collaborative creation of the PGHD Trust Canvas, a tool devised to help clinicians evaluate the trustworthiness of PGHD in their decision-making processes. Developed through an iterative design process and informed by interviews with nine clinicians from various disciplines, the PGHD Trust Canvas draws inspiration from similar existing models like the Business Model Canvas, the Trust Canvas and the Ethics Canvas. It offers a structured approach for clinicians to assess PGHD systematically, aiming to facilitate its appropriate integration into clinical decisions. This initiative represents a significant step toward leveraging PGHD safely and effectively in healthcare.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 37th International Symposium on Computer-Based Medical Systems, CBMS 2024
EditorsGilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucia Prieto Santamaria, Bridget Kane, Christian Daul, Gildardo Sanchez Ante, Alejandro Rodriguez Gonzalez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-449
Number of pages8
ISBN (Electronic)9798350384727
DOIs
Publication statusPublished - 2024
Event37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024 - Hybrid, Guadalajara, Mexico
Duration: 26 Jun 202428 Jun 2024

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024
Country/TerritoryMexico
CityHybrid, Guadalajara
Period26/06/2428/06/24

Keywords

  • Clinical Decision
  • Clinician Trust
  • Co-Design
  • Patient Generated Health Data
  • PGHD
  • Trust

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