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Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers

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...

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Autores principales: Bass, Michael, Oncken, Christian, McIntyre, Allison W., Dasilva, Chris, Spuhl, Joshua, Rothrock, Nan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528565/
https://www.ncbi.nlm.nih.gov/pubmed/34670293
http://dx.doi.org/10.1055/s-0041-1736464
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author Bass, Michael
Oncken, Christian
McIntyre, Allison W.
Dasilva, Chris
Spuhl, Joshua
Rothrock, Nan E.
author_facet Bass, Michael
Oncken, Christian
McIntyre, Allison W.
Dasilva, Chris
Spuhl, Joshua
Rothrock, Nan E.
author_sort Bass, Michael
collection PubMed
description 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.
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spelling pubmed-85285652021-12-15 Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers Bass, Michael Oncken, Christian McIntyre, Allison W. Dasilva, Chris Spuhl, Joshua Rothrock, Nan E. Appl Clin Inform 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. Georg Thieme Verlag KG 2021-10-20 /pmc/articles/PMC8528565/ /pubmed/34670293 http://dx.doi.org/10.1055/s-0041-1736464 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Bass, Michael
Oncken, Christian
McIntyre, Allison W.
Dasilva, Chris
Spuhl, Joshua
Rothrock, Nan E.
Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
title Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
title_full Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
title_fullStr Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
title_full_unstemmed Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
title_short Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers
title_sort implementing an application programming interface for promis measures at three medical centers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528565/
https://www.ncbi.nlm.nih.gov/pubmed/34670293
http://dx.doi.org/10.1055/s-0041-1736464
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