ArticleApplied clinical informatics2021
Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers.
Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- From framework to practice: applying the proteus-practice framework to learn lessons for integrating PROs in clinical care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Using confirmatory factor analysis to identify symptom clusters in individuals with acquired disabilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Conditional pathways to loneliness in older adults with vision impairment: a decision-tree analysis.Innovation in aging · 2026Article
- Engaging primary care clinicians in the selection of implementation strategies for toddler social-emotional health promotion in community health centers.Families, systems & health : the journal of collaborative family healthcare · 2024Article
- Seamless Integration of Computer-Adaptive Patient Reported Outcomes into an Electronic Health Record.Applied clinical informatics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere 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.
objectiveTo 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.
methodsWe created a RESTful API and evaluated the technical feasibility and impact on clinical workflow at three academic medical centers.
resultsCollaborative 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.
conclusionThese 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.