Evidence map›Paper›PMID 38974405›Full record

ArticleJAMIA open2024

"Covering provider": an effort to streamline clinical communication chaos.

Mugdha Joshi, Arjun Gokhale, Stephen Ma, Anna Pendrey, Lauren Wozniak, Anoosha Moturu, Nicholas U Schwartz, Austin Wilson, Kelly Darmawan, Brian Phillips and 5 more

Abstract read
In one paragraph

Article in JAMIA open, 2024. 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
–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.

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.

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

15 authors.

Mugdha JoshiInternal Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.ORCID https://orcid.org/0000-0003-4625-9176
Arjun GokhaleClinical Informatics, Stanford University School of Medicine, Palo Alto, CA, United States.
Stephen MaClinical Informatics, Stanford University School of Medicine, Palo Alto, CA, United States.
Anna PendreyGeriatrics, Indiana University School of Medicine, Indianapolis, IN, United States.
Lauren WozniakAdolescent Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Anoosha MoturuGeneral Surgery, Stanford University School of Medicine, Palo Alto, CA, United States.
Nicholas U SchwartzNeurology, Stanford University School of Medicine, Palo Alto, CA, United States.
Austin WilsonNursing Innovation, Stanford Healthcare, Palo Alto, CA, United States.
Kelly DarmawanStanford University School of Medicine, Palo Alto, CA, United States.
Brian PhillipsNursing Innovation, Stanford Healthcare, Palo Alto, CA, United States.
Stav CullumInternal Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Christopher SharpInternal Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Gretchen BrownNursing Informatics, Stanford Healthcare, Palo Alto, CA, United States.
Lisa ShiehMedicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Clifford SchmiesingAnesthesia, Stanford University School of Medicine, Palo Alto, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This report describes a root cause analysis of incorrect provider assignments and a standardized workflow developed to improve the clarity and accuracy of provider assignments. Materials and Methods: A multidisciplinary working group involving housestaff was assembled. Key drivers were identified using value stream mapping and fishbone analysis. A report was developed to allow for the analysis of correct provider assignments. A standardized workflow was created and piloted with a single service line. Pre- and post-pilot surveys were administered to nursing staff and participating housestaff on the unit. Results: Four key drivers were identified. A standardized workflow was created with an exclusive treatment team role in Epic held by a single provider at any given time, with a corresponding patient list column displaying provider information for each patient. Pre- and post-survey responses report decreased confusion, decreased provider identification errors, and increased user satisfaction among RNs and residents with sustained uptake over time. Conclusion: This work demonstrates structured root cause analysis, notably engaging housestaff, to develop a standardized workflow for an understudied and growing problem. The development of tools and strategies to address the widespread burdens resulting from clinical communication failures is needed.

Indexed as

clinical communicationleanprovider assignmentquality improvementsecure text messaging

Identifiers

PMID38974405
PMCPMC11226879

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.