Feasibility study of an EHR-integrated mobile shared decision making application
| Autor: | Douglas S. Bell, Mohammad Pourhomayoun, Michael A. Pfeffer, Andrew F. Lees, Frank C. Day, Majid Sarrafzadeh, Deidre Keeves |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
020205 medical informatics Computer science Vendor Decision Making Health Informatics 02 engineering and technology computer.software_genre Health informatics World Wide Web Net Promoter 03 medical and health sciences User-Computer Interface 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering Electronic Health Records Humans 030212 general & internal medicine health care economics and organizations Early Detection of Cancer Aged Application programming interface business.industry Prostatic Neoplasms Usability Middle Aged Prostate-Specific Antigen Mobile Applications Workflow Data exchange Feasibility Studies Web service business computer |
| Zdroj: | International journal of medical informatics. 124 |
| ISSN: | 1872-8243 |
| Popis: | Introduction Integrating mobile applications (apps) into users’ standard electronic health record (EHR) workflows may be valuable, especially for apps that both read and write data. This report details the lessons learned during the integration of a patient decision aid - prostate specific antigen (PSA) testing for prostate cancer screening - into our users' standard EHR workflow for a small usability assessment. Materials and Methods This feasibility study included two steps. First we enabled realtime, secure bidirectional data exchange between the mobile app and EHR for 14 data elements, and second we pilot tested the production environment app with 9 primary care patients aged 60–65 years. Our primary usability metric was a net promoter score (NPS), based on users’ recommendation of the app to a friend or family member; we also assessed the proportion of users who 1) updated their prostate cancer risk factor information present in the EHR and 2) submitted more than one unique response regarding their preference to have PSA testing. Results The seven web services necessary to read and write data required considerable configuration, but successfully delivered risk factor-specific educational content and recorded patients’ values and decision preference directly within the EHR. Seven of the 9 patients (78%) would recommend this app to a friend/family member (NPS = 55.6%), one patient used the app to update risk factor information, and 4/9 (44%) changed their decision preference while using the app. Conclusions It is feasible to implement a decision aid directly into users’ standard EHR workflow for limited usability testing. Broad scale implementation may have a positive effect on patient engagement and improve shared decision making, but several challenges exist with proprietary EHR vendor application programming interfaces (API)s. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect