TY - JOUR
T1 - Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
AU - Bass, Michael
AU - Oncken, Christian
AU - McIntyre, Allison W.
AU - Dasilva, Chris
AU - Spuhl, Joshua
AU - Rothrock, Nan E.
N1 - Publisher Copyright:
© 2021 Georg Thieme Verlag. All rights reserved.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - Background There is an increasing body of literature advocating for the collection of patient-reported outcomes (PROs) in clinical care. Unfortunately, there are many barriers to integrating PRO measures, particularly computer adaptive tests (CATs), within electronic health records (EHRs), thereby limiting access to advances in PRO measures in clinical care settings. Objective To address this obstacle, we created and evaluated a software integration of an Application Programming Interface (API) service for administering and scoring Patient-Reported Outcomes Measurement Information System (PROMIS) measures with the EHR system. Methods We created a RESTful API and evaluated the technical feasibility and impact on clinical workflow at three academic medical centers. Results Collaborative teams (i.e., clinical, information technology [IT] and administrative staff) performed these integration efforts addressing issues such as software integration as well as impact on clinical workflow. All centers considered their implementation successful based on the high rate of completed PROMIS assessments (between January 2016 and January 2021) and minimal workflow disruptions. Conclusion These case studies demonstrate not only the feasibility but also the pathway for the integration of PROMIS CATs into the EHR and routine clinical care. All sites utilized diverse teams with support and commitment from institutional leadership, initial implementation in a single clinic, a process for monitoring and optimization, and use of custom software to minimize staff burden and error.
AB - Background There is an increasing body of literature advocating for the collection of patient-reported outcomes (PROs) in clinical care. Unfortunately, there are many barriers to integrating PRO measures, particularly computer adaptive tests (CATs), within electronic health records (EHRs), thereby limiting access to advances in PRO measures in clinical care settings. Objective To address this obstacle, we created and evaluated a software integration of an Application Programming Interface (API) service for administering and scoring Patient-Reported Outcomes Measurement Information System (PROMIS) measures with the EHR system. Methods We created a RESTful API and evaluated the technical feasibility and impact on clinical workflow at three academic medical centers. Results Collaborative teams (i.e., clinical, information technology [IT] and administrative staff) performed these integration efforts addressing issues such as software integration as well as impact on clinical workflow. All centers considered their implementation successful based on the high rate of completed PROMIS assessments (between January 2016 and January 2021) and minimal workflow disruptions. Conclusion These case studies demonstrate not only the feasibility but also the pathway for the integration of PROMIS CATs into the EHR and routine clinical care. All sites utilized diverse teams with support and commitment from institutional leadership, initial implementation in a single clinic, a process for monitoring and optimization, and use of custom software to minimize staff burden and error.
KW - PROMIS
KW - computer adaptive algorithm
KW - electronic health records
KW - implementation
KW - patient-reported outcomes
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U2 - 10.1055/s-0041-1736464
DO - 10.1055/s-0041-1736464
M3 - Article
C2 - 34670293
AN - SCOPUS:85118210652
SN - 1869-0327
VL - 12
SP - 979
EP - 983
JO - Applied Clinical Informatics
JF - Applied Clinical Informatics
IS - 5
M1 - 210116cr
ER -