Evidence map›Paper›PMID 37798582›Full record

ArticleJournal of general internal medicine2023

Cerner Millennium's Care Pathways for Specialty Care Referrals: Provider and Nurse Experiences, Perceptions, and Recommendations for Improvements.

Kristina M Cordasco, Alicia R Gable, David A Ganz, Julian W Brunner, Anita J Smith, Brian Hertz, Edward P Post, Gemmae M Fix

Open access · hybridAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 16% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 7 institutions in 1 country.

Kristina M CordascoVA HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA. Kristina.Cordasco@va.gov.ORCID 0000-0002-5866-1763
Alicia R GableVA HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
David A GanzVA HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Julian W BrunnerVA HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Anita J SmithVA Spokane Healthcare System, Spokane, WA, USA.
Brian HertzEdward Hines Jr. VA Hospital, Hines, IL, USA.
Edward P PostVA Central Office, Washington, DC, USA.
Gemmae M FixCenter for Healthcare Organization & Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA.
Center for the Study of Healthcare Provider Behavior · USBoston University · USLoyola University Chicago · USMann-Grandstaff VA Medical Center · USRAND Corporation · USUniversity of California, Los Angeles · USUniversity of Michigan · US

Funding

U.S. Department of Veterans Affairs RPP/SDR 20-197-2
6 · The paper itself

Abstract

backgroundUsing structured templates to guide providers in communicating key information in electronic referrals is an evidence-based practice for improving care quality. To facilitate referrals in Veterans Health Administration's (VA) Cerner Millennium electronic health record, VA and Cerner have created "Care Pathways"-templated electronic forms, capturing needed information and prompting ordering of appropriate pre-referral tests.

objectiveTo inform their iterative improvement, we sought to elicit experiences, perceptions, and recommendations regarding Care Pathways from frontline clinicians and staff in the first VA site to deploy Cerner Millennium.

designQualitative interviews, conducted 12-20 months after Cerner Millennium deployment.

participantsWe conducted interviews with primary care providers, primary care registered nurses, and specialty providers requesting and/or receiving referrals. APPROACH: We used rapid qualitative analysis. Two researchers independently summarized interview transcripts with bullet points; summaries were merged by consensus. Constant comparison was used to sort bullet points into themes. A matrix was used to view bullet points by theme and participant.

resultsSome interviewees liked aspects of the Care Pathways, expressing appreciation of their premise and logic. However, interviewees commonly expressed frustration with their poor usability across multiple attributes. Care Pathways were reported as being inefficient; lacking simplicity, naturalness, consistency, and effective use of language; imposing an unacceptable cognitive load; and not employing forgiveness and feedback for errors. Specialists reported not receiving the information needed for referral triaging.

conclusionsCerner Millennium's Care Pathways, and their associated organizational policies and processes, need substantial revision across several usability attributes. Problems with design and technical limitations are compounding challenges in using standardized templates nationally, across VA sites having diverse organizational and contextual characteristics. VA is actively working to make improvements; however, significant additional investments are needed for Care Pathways to achieve their intended purpose of optimizing specialty care referrals for Veterans.

Indexed as

United States Department of Veterans AffairsVeteransCritical PathwaysHumansReferral and ConsultationUnited StatesVeterans Healthelectronic health recordsqualitative evaluationreferralsuser-centered designVeterans Administration

Identifiers

PMID37798582
PMCPMC10593700
OpenAlexW4387362567

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.