Evidence map›Paper›PMID 39421306›Full record

ArticleDigital health

A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard.

Gabriela Schmajuk, Catherine Nasrallah, Beth Berrean, Jonathan Prugh, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Julia Kay, Jing Li and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06655077 (Incorporating PRO Data Into RA Clinical Encounters Using Health IT), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT06655077 nacompletednot on this map

Incorporating PRO Data Into RA Clinical Encounters Using Health IT

TypeinterventionalSponsorUniversity of California, San FranciscoRan2020 to 2023Enrolled554ConditionsRheumatoid ArthritisArmsRA PRO Dashboard
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Gabriela SchmajukUniversity of California - San Francisco, San Francisco, CA, USA.ORCID https://orcid.org/0000-0003-2687-5043
Catherine NasrallahUniversity of California - San Francisco, San Francisco, CA, USA.
Beth BerreanUniversity of California - San Francisco SOM-Tech, San Francisco, CA, USA.
Jonathan PrughUniversity of California - San Francisco SOM-Tech, San Francisco, CA, USA.
Cherish WilsonUniversity of California - San Francisco, San Francisco, CA, USA.
Alicia HamblinUniversity of California - San Francisco, San Francisco, CA, USA.
Cammie YoungUniversity of California - San Francisco, San Francisco, CA, USA.
Lindsay JacobsohnUniversity of California - San Francisco, San Francisco, CA, USA.
Julia KayUniversity of California - San Francisco, San Francisco, CA, USA.
Jing LiUniversity of California - San Francisco, San Francisco, CA, USA.
Emma KerseyUniversity of California - San Francisco, San Francisco, CA, USA.
Meera SubashUniversity of California - San Francisco, San Francisco, CA, USA.
Sara MurrayUniversity of California - San Francisco, San Francisco, CA, USA.
Jinoos YazdanyUniversity of California - San Francisco, San Francisco, CA, USA.

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Advancing Quality and Outcomes Measurement in RheumatologyK24AR074534 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jinoos Yazdany · 2019 to 2026
$1.5M
AHRQ HHS R01 HS025405NIAMS NIH HHS K24 AR074534NIAMS NIH HHS P30 AR070155
6 · The paper itself

Abstract

Objective: Despite interest in optimizing the electronic health record (EHR) to facilitate chronic disease care for conditions like rheumatoid arthritis (RA), progress in this area has been slow. EHR sidecar applications offer one solution, but little guidance exists to facilitate their successful development, deployment, and maintenance in the healthcare setting. We aimed to provide a roadmap for how to develop and deploy an EHR sidecar application based on our experience building a new EHR-integrated, patient-facing visualization tool that displayed disease outcomes to RA patients during a clinical visit (the "RA PRO dashboard") in a large academic health center. Methods: We describe the technical design and implementation of the RA PRO dashboard; report clinic workflow adaptations to incorporate this new technology; and discuss the resources required and challenges encountered in maintaining this application. Results: The RA PRO dashboard required extensive human-centered design work, regulatory approvals, software development, user testing, integration with Epic-based workflows, and maintenance. Key requirements were prioritized based on the anticipated effects on usefulness and ease of use. Implementation science strategies were used to improve use of the dashboard in clinic and included education for patients, staff, and clinicians; reports of actual use of the dashboard and data quality; and regular meetings between the research team and clinicians to discuss and address barriers to use. Conclusion: Successful development and deployment of an EHR-integrated application are resource-intensive and require technical, operational, and educational innovations. The roadmap presented in this study can serve as a resource for future developers.

Indexed as

disease trajectoryEHR dataPatient-reported outcomesrheumatoid arthritissidecar application

Identifiers

PMID39421306
PMCPMC11483702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.