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Overcoming barriers to implementing patient-reported outcomes in an electronic health record: a case report.


ABSTRACT: In this case report, the authors describe the implementation of a system for collecting patient-reported outcomes and integrating results in an electronic health record. The objective was to identify lessons learned in overcoming barriers to collecting and integrating patient-reported outcomes in an electronic health record. The authors analyzed qualitative data in 42 documents collected from system development meetings, written feedback from users, and clinical observations with practice staff, providers, and patients. Guided by the Unified Theory on the Adoption and Use of Information Technology, 5 emergent themes were identified. Two barriers emerged: (i) uncertain clinical benefit and (ii) time, work flow, and effort constraints. Three facilitators emerged: (iii) process automation, (iv) usable system interfaces, and (v) collecting patient-reported outcomes for the right patient at the right time. For electronic health record-integrated patient-reported outcomes to succeed as useful clinical tools, system designers must ensure the clinical relevance of the information being collected while minimizing provider, staff, and patient burden.

SUBMITTER: Harle CA 

PROVIDER: S-EPMC5009936 | biostudies-other | 2016 Jan

REPOSITORIES: biostudies-other

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Overcoming barriers to implementing patient-reported outcomes in an electronic health record: a case report.

Harle Christopher A CA   Listhaus Alyson A   Covarrubias Constanza M CM   Schmidt Siegfried Of SO   Mackey Sean S   Carek Peter J PJ   Fillingim Roger B RB   Hurley Robert W RW  

Journal of the American Medical Informatics Association : JAMIA 20150709 1


In this case report, the authors describe the implementation of a system for collecting patient-reported outcomes and integrating results in an electronic health record. The objective was to identify lessons learned in overcoming barriers to collecting and integrating patient-reported outcomes in an electronic health record. The authors analyzed qualitative data in 42 documents collected from system development meetings, written feedback from users, and clinical observations with practice staff,  ...[more]

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