Evidence map›Paper›PMID 33882586›Full record

ArticleApplied clinical informatics2021

Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics.

Amber Sieja, Eric Kim, Heather Holmstrom, Stephen Rotholz, Chen Tan Lin, Christine Gonzalez, Cortney Arellano, Sarah Hutchings, Denise Henderson, Katie Markley

Open access · bronzeAbstract read
In one paragraph

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Amber SiejaDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Eric KimDepartment of Family Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Heather HolmstromDepartment of Family Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Stephen RotholzDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, United States.
Chen Tan LinDepartment of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Christine GonzalezUniversity of Colorado Health, Aurora, Colorado, United States.
Cortney ArellanoUniversity of Colorado Health, Aurora, Colorado, United States.
Sarah HutchingsUniversity of Colorado Health, Aurora, Colorado, United States.
Denise HendersonUniversity of Colorado Health, Aurora, Colorado, United States.
Katie MarkleyUniversity of Colorado Health Medical Group and University of Colorado Health, Aurora, Colorado, United States.
University of Colorado Denver · USUniversity of Colorado Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of the study was to highlight and analyze the outcomes of software configuration requests received from Sprint, a comprehensive, clinic-centered electronic health record (EHR) optimization program.

methodsA retrospective review of 1,254 Sprint workbook requests identified (1) the responsible EHR team, (2) the clinical efficiency gained from the request, and (3) the EHR intervention conducted.

resultsRequests were received from 407 clinicians and 538 staff over 31 weeks of Sprint. Sixty-nine percent of the requests were completed during the Sprint. Of all requests, 25% required net new build, 73% required technical investigation and/or solutions, and 2% of the requests were escalated to the vendor. The clinical specialty groups requested a higher percentage of items that earned them clinical review (16 vs. 10%) and documentation (29 vs. 23%) efficiencies compared with their primary care colleagues who requested slightly more order modifications (22 vs. 20%). Clinical efficiencies most commonly associated with workbook requests included documentation (28%), ordering (20%), in basket (17%), and clinical review (15%). Sprint user requests evaluated by ambulatory, hardware, security, and training teams comprised 80% of reported items. DISCUSSION: Sprint requests were categorized as clean-up, break-fix, workflow investigation, or new build. On-site collaboration with clinical care teams permitted consensus-building, drove vetting, and iteration of EHR build, and led to goal-driven, usable workflows and EHR products.

conclusionThis program evaluation demonstrates the process by which optimization can occur and the products that result when we adhere to optimization principles in health care organizations.

Indexed as

DocumentationElectronic Health RecordsHumansPrimary Health CareRetrospective StudiesWorkflow

Identifiers

PMID33882586
PMCPMC8060071
OpenAlexW3155369008

What OpenQuestion holds

Textmetadata
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.