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

Michael Bass*, Christian Oncken, Allison W. McIntyre, Chris Dasilva, Joshua Spuhl, Nan E. Rothrock

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article number210116cr
Pages (from-to)979-983
Number of pages5
JournalApplied Clinical Informatics
Issue number5
StatePublished - Oct 1 2021


  • computer adaptive algorithm
  • electronic health records
  • implementation
  • patient-reported outcomes

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Computer Science Applications


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