Evidence map›Paper›PMID 35079867›Full record

Observational studyJournal of medical systems2022

Non-Interruptive Clinical Decision Support to Improve Perioperative Electronic Positive Patient Identification.

Bryan D Steitz, Gen Li, Adam Wright, Brent Dunworth, Robert E Freundlich, Jonathan P Wanderer

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of medical systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Bryan D SteitzDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, US. bryan.d.steitz@vumc.org.ORCID http://orcid.org/0000-0003-2066-8692
Gen LiDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, US.
Adam WrightDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, US.
Brent DunworthDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, US.
Robert E FreundlichDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, US.
Jonathan P WandererDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, US.
Vanderbilt University Medical Center · US

Funding

Safety Promotion through Early Event Detection in the Elderly (SPEEDe)R01AG062499 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WRIGHT, ADAM T · 2019 to 2023
$3.5M
Reducing Reintubation Risk in High-Risk Cardiac Surgery Patients with High-Flow Nasal Cannula -the "I-CAN" studyK23HL148640 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FREUNDLICH, ROBERT EDWARD · 2020 to 2024
$867k
NHLBI NIH HHS K23 HL148640NIA NIH HHS R01 AG062499
6 · The paper itself

Abstract

Positive patient identification (PPID) is an integral step to ensure the correct patient identity prior to a healthcare delivery event. Following implementation of a new EHR in November 2017, Vanderbilt University Medical Center (VUMC) experienced frequent and inconsistent failure of barcode scanners which impacted the electronic PPID (ePPID) and blood verification processes. Following multiple iterations of troubleshooting, vendor engagement, and device upgrades, we developed a clinical decision support (CDS) tool as a visual reminder to perform ePPID. If ePPID was initially bypassed, the clinician received a passive alert which remained visible throughout the procedure or until ePPID was completed successfully. We conducted a retrospective observational study using an interrupted time series analysis and analysis of variance pre- and post- CDS intervention. Following CDS intervention, we observed an immediate 20.8% increase in successful ePPID (p < 0.001). The mean success rate of ePPID attempts increased from 62.0% pre-intervention to 94.4% post-intervention (p < 0.001). There were 108 providers who had less than 80.0% success in the six-months prior to CDS intervention, of whom all improved to an average of 95.9% success. Our CDS approach highlights the utility of non-interruptive but continually visible alerts to improve patient safety workflows. By making errors clearly visible to users and their peers, performance improved to only 5.6% of alerts bypassed.

Indexed as

Decision Support Systems, ClinicalMedical Order Entry SystemsElectronic Data ProcessingElectronic Health RecordsElectronicsHumansPatient SafetyWorkflowClinical Decision SupportElectronic Health RecordsImplementation SciencePatient Safety

Identifiers

PMID35079867
PMCPMC8862728
OpenAlexW4210414677

What OpenQuestion holds

Textmetadata
LicenceTDM
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.