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Patient-Generated Health Data Quality for Clinical Use: Human and Technology Factors

Patient-Generated Health Data Quality for Clinical Use: Human and Technology Factors

bibliographic information, a link to the original publication on http://www.iproc.org/, as well as this copyright and license information must be included.BackgroundThe proliferation of advanced wearable medical technologies is increasing the production of Patient-Generated

Robab Abdolkhani, Kathleen Gray, Ann Borda, Ruth De Souza

iproc 2018;4(2):e11703

Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study

Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study

Patient-generated health data (PGHD) refer to “health-related data created and recorded by or from patients outside of the clinical setting to help address a health concern,” as defined by the Office of the National Coordinator for Health Information Technology

Danny T Y Wu, Chen Xin, Shwetha Bindhu, Catherine Xu, Jyoti Sachdeva, Jennifer L Brown, Heekyoung Jung

JMIR Form Res 2020;4(8):e18123

Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study

Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study

These kinds of health-related data are categorized as patient-generated health data (PGHD) and defined by the Office of the National Coordinator for Health Information Technology as “health-related data—including health history, symptoms, biometric data, treatment

Hyunwoo Choo, Myeongchan Kim, Jiyun Choi, Jaewon Shin, Soo-Yong Shin

J Med Internet Res 2020;22(10):e21369

Data Visualizations to Support Health Practitioners’ Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study

Data Visualizations to Support Health Practitioners’ Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study

This user-centered design study offers findings from potential clinician users of the output of patient-generated health data from the OnPoint app.

Uba Backonja, Sarah C Haynes, Katherine K Kim

JMIR Hum Factors 2018;5(4):e11826

Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations

Quality Assurance of Health Wearables Data: Participatory Workshop on Barriers, Solutions, and Expectations

health data (PGHD), as the data collection relies on patients’ (rather than clinicians’) control and occurs outside the clinical environment [4]—a highly complex process.

Robab Abdolkhani, Kathleen Gray, Ann Borda, Ruth DeSouza

JMIR Mhealth Uhealth 2020;8(1):e15329