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

Michael Bass1, Christian Oncken2, Allison W McIntyre3

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Summary
This summary is machine-generated.

Integrating Patient-Reported Outcomes Measurement Information System (PROMIS) computer adaptive tests (CATs) into electronic health records (EHRs) is feasible. This software integration using an API service demonstrated successful implementation with minimal workflow disruption at three medical centers.

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Area of Science:

  • Health Informatics
  • Clinical Research
  • Digital Health

Background:

  • Growing evidence supports collecting patient-reported outcomes (PROs) in clinical care.
  • Barriers exist in integrating PRO measures, especially computer adaptive tests (CATs), into electronic health records (EHRs).
  • This limits the clinical application of advanced PRO measures.

Purpose of the Study:

  • To develop and assess a software integration solution for incorporating Patient-Reported Outcomes Measurement Information System (PROMIS) measures into EHR systems.
  • To evaluate the technical feasibility and clinical workflow impact of this integration.

Main Methods:

  • A RESTful Application Programming Interface (API) service was developed for administering and scoring PROMIS measures.
  • Technical feasibility and clinical workflow impact were evaluated across three academic medical centers.
  • Collaborative teams involving clinical, IT, and administrative staff managed the integration.

Main Results:

  • All three centers reported successful implementation, evidenced by high completion rates of PROMIS assessments (January 2016 - January 2021).
  • Minimal disruptions to clinical workflow were observed.
  • The integration process involved diverse teams, institutional leadership support, phased clinic implementation, and custom software solutions.

Conclusions:

  • The case studies confirm the feasibility of integrating PROMIS CATs into EHRs for routine clinical care.
  • Successful integration pathways involve multidisciplinary teams, leadership commitment, pilot implementations, continuous monitoring, and optimized software.
  • This approach facilitates broader access to PRO data in clinical settings.