Evidence map›Paper›PMID 32055775›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2020

A Process of Acceptance of Patient Photographs in Electronic Medical Records to Confirm Patient Identification.

SayedObaidullah Aseem, Basem M Ratrout, Scott C Litin, Ravindra Ganesh, Ivana T Croghan, Matthew S Salerno, Andrew J Majka, Darryl S Chutka, Ryan T Hurt, Haitham S Abu Lebdeh and 2 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

12 authors.

SayedObaidullah AseemClinician-Investigator Training Program, Mayo Clinic, Rochester, MN.
Basem M RatroutExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.
Scott C LitinExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.
Ravindra GaneshExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.
Ivana T CroghanDivision of General Internal Medicine, Mayo Clinic, Rochester, MN.
Matthew S SalernoExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.
Andrew J MajkaExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.
Darryl S ChutkaDivision of Preventive, Occupational, and Aerospace Medicine, Mayo Clinic, Rochester, MN.
Ryan T HurtDivision of General Internal Medicine, Mayo Clinic, Rochester, MN.
Haitham S Abu LebdehDivision of General Internal Medicine, Mayo Clinic, Rochester, MN.
Ann VincentExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.
Sanjeev NandaExecutive, Development, and International Medicine Program, Mayo Clinic, Rochester, MN.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
NCATS NIH HHS UL1 TR000135
6 · The paper itself

Abstract

Appropriate patient identification is a critical component of safe health care delivery. With increasing reliance on electronic medical records (EMRs), errors of test ordering and documentation have become commonplace. Incorporating patients' photograph in the EMR has considerably decreased error frequency and improved health care delivery by making it easier for physicians to identify a patient. We conducted a survey of all 35 physicians working in the Executive Health Program to determine the importance of having patient photographs in the EMR. Of the 35 physicians who received the survey, 26 (74.3%) responded, 24 (92.3%) of whom agreed that it was important to improve patient identification, care, and safety. Based on these data, we implemented a quality improvement project to increase the percentage of new patients having a photograph included in the EMR. Our goal was to increase photograph inclusion by more than 20% from baseline within 6 months without any unintended consequences (ie, not slowing down any of the workflow during the intake process). The intervention took place between June 1, 2015, and February 8, 2016. Using Define-Measure-Analyze-Improve-Control models, the baseline rate of photographs in the EMR was 49.5% (302 of 607). We initiated 3 Plan-Do-Study-Act cycles targeting awareness and data sharing campaigns. After the Plan-Do-Study-Act cycles, the weekly rate of patient photographs incorporated into the EMR was at 71.4%, which was significantly improved compared with baseline (F test,

Indexed as

EMR, electronic medical recordPDSA, Plan-Do-Study-ActREDCap, Research Electronic Data Capture

Identifiers

PMID32055775
PMCPMC7010970

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Registered trials

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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.