Evidence map›Paper›PMID 38405201›Full record

ArticleJournal of patient safety and risk management2023

Asynchronous Conferencing Through a Secure Messaging Application Increases Reporting of Medical Errors in a Mature Trauma Center.

Joy L Lee, Scott Isenberg, Georgann Adams, Maria Thurston, Peter M Hammer, Sanjay K Mohanty, Peter C Jenkins

Abstract read
In one paragraph

Article in Journal of patient safety and risk management, 2023. 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
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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

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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

7 authors.

Joy L LeeDepartment of Population and Quantitative Health Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Scott IsenbergDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Georgann AdamsDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Maria ThurstonDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Peter M HammerDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Sanjay K MohantyDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Peter C JenkinsDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Funding

Translating Measures of Visual Experience to Children with Autism and Down SyndromeKL2TR002530 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI ROBB, SHERI L · 2018 to 2022
$4.8M
Using Routine Care Electronic Medical Record Data and Artificial Intelligence to Develop a Passive Digital Marker to Predict Postoperative DeliriumK23AG071945 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Sanjay Mohanty · 2022 to 2026
$687k
NCATS NIH HHS KL2 TR002530NIA NIH HHS K23 AG071945
6 · The paper itself

Abstract

Background: Medical errors occur frequently, yet they are often under-reported and strategies to increase the reporting of medical errors are lacking. In this work, we detail how a level 1 trauma center used a secure messaging application to track medical errors and enhance its quality improvement initiatives. Methods: We describe the formulation, implementation, evolution, and evaluation of a chatroom integrated into a secure texting system to identify performance improvement and patient safety (PIPS) concerns. For evaluation, we used descriptive statistics to examine PIPS reporting by the reporting method over time, the incidence of mortality and unplanned ICU readmissions tracked in the hospital trauma registry over the same, and time-to-loop closure over the study period to quantify the impact of the processes instituted by the PIPS team. We also categorized themes of reported events. Results: With the implementation of a PIPS chatroom, the number of events reported each month increased and texting became the predominant way for users to report trauma PIPS events. This increase in PIPS reporting did not appear to be accompanied by an increase in mortality and unplanned ICU readmissions. The PIPS team also improved the tracking and timely resolution of PIPS events and observed a decrease in time-to-loop closure with the implementation of the PIPS chatroom. Conclusions: The adoption of clinical texting as a way to report PIPS events was associated with increased reporting of such events and more timely resolution of concerns regarding patient safety and healthcare quality.

Indexed as

clinical textinghealth informaticsmedical errorsquality improvement

Identifiers

PMID38405201
PMCPMC10888531

What OpenQuestion holds

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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.