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Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study
OBJECTIVE: To establish the role of high-fidelity simulation training to test the efficacy and safety of the electronic health record (EHR)–user interface within the intensive care unit (ICU) environment. DESIGN: Prospective pilot study. SETTING: Medical ICU in an academic medical centre. PARTICIPAN...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3641430/ https://www.ncbi.nlm.nih.gov/pubmed/23578685 http://dx.doi.org/10.1136/bmjopen-2013-002549 |
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author | March, Christopher A Steiger, David Scholl, Gretchen Mohan, Vishnu Hersh, William R Gold, Jeffrey A |
author_facet | March, Christopher A Steiger, David Scholl, Gretchen Mohan, Vishnu Hersh, William R Gold, Jeffrey A |
author_sort | March, Christopher A |
collection | PubMed |
description | OBJECTIVE: To establish the role of high-fidelity simulation training to test the efficacy and safety of the electronic health record (EHR)–user interface within the intensive care unit (ICU) environment. DESIGN: Prospective pilot study. SETTING: Medical ICU in an academic medical centre. PARTICIPANTS: Postgraduate medical trainees. INTERVENTIONS: A 5-day-simulated ICU patient was developed in the EHR including labs, hourly vitals, medication administration, ventilator settings, nursing and notes. Fourteen medical issues requiring recognition and subsequent changes in management were included. Issues were chosen based on their frequency of occurrence within the ICU and their ability to test different aspects of the EHR–user interface. ICU residents, blinded to the presence of medical errors within the case, were provided a sign-out and given 10 min to review the case in the EHR. They then presented the case with their management suggestions to an attending physician. Participants were graded on the number of issues identified. All participants were provided with immediate feedback upon completion of the simulation. PRIMARY AND SECONDARY OUTCOMES: To determine the frequency of error recognition in an EHR simulation. To determine factors associated with improved performance in the simulation. RESULTS: 38 participants including 9 interns, 10 residents and 19 fellows were tested. The average error recognition rate was 41% (range 6–73%), which increased slightly with the level of training (35%, 41% and 50% for interns, residents, and fellows, respectively). Over-sedation was the least-recognised error (16%); poor glycemic control was most often recognised (68%). Only 32% of the participants recognised inappropriate antibiotic dosing. Performance correlated with the total number of screens used (p=0.03). CONCLUSIONS: Despite development of comprehensive EHRs, there remain significant gaps in identifying dangerous medical management issues. This gap remains despite high levels of medical training, suggesting that EHR-specific training may be beneficial. Simulation provides a novel tool in order to both identify these gaps as well as foster EHR-specific training. |
format | Online Article Text |
id | pubmed-3641430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36414302013-05-07 Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study March, Christopher A Steiger, David Scholl, Gretchen Mohan, Vishnu Hersh, William R Gold, Jeffrey A BMJ Open Health Informatics OBJECTIVE: To establish the role of high-fidelity simulation training to test the efficacy and safety of the electronic health record (EHR)–user interface within the intensive care unit (ICU) environment. DESIGN: Prospective pilot study. SETTING: Medical ICU in an academic medical centre. PARTICIPANTS: Postgraduate medical trainees. INTERVENTIONS: A 5-day-simulated ICU patient was developed in the EHR including labs, hourly vitals, medication administration, ventilator settings, nursing and notes. Fourteen medical issues requiring recognition and subsequent changes in management were included. Issues were chosen based on their frequency of occurrence within the ICU and their ability to test different aspects of the EHR–user interface. ICU residents, blinded to the presence of medical errors within the case, were provided a sign-out and given 10 min to review the case in the EHR. They then presented the case with their management suggestions to an attending physician. Participants were graded on the number of issues identified. All participants were provided with immediate feedback upon completion of the simulation. PRIMARY AND SECONDARY OUTCOMES: To determine the frequency of error recognition in an EHR simulation. To determine factors associated with improved performance in the simulation. RESULTS: 38 participants including 9 interns, 10 residents and 19 fellows were tested. The average error recognition rate was 41% (range 6–73%), which increased slightly with the level of training (35%, 41% and 50% for interns, residents, and fellows, respectively). Over-sedation was the least-recognised error (16%); poor glycemic control was most often recognised (68%). Only 32% of the participants recognised inappropriate antibiotic dosing. Performance correlated with the total number of screens used (p=0.03). CONCLUSIONS: Despite development of comprehensive EHRs, there remain significant gaps in identifying dangerous medical management issues. This gap remains despite high levels of medical training, suggesting that EHR-specific training may be beneficial. Simulation provides a novel tool in order to both identify these gaps as well as foster EHR-specific training. BMJ Publishing Group 2013-04-10 /pmc/articles/PMC3641430/ /pubmed/23578685 http://dx.doi.org/10.1136/bmjopen-2013-002549 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Health Informatics March, Christopher A Steiger, David Scholl, Gretchen Mohan, Vishnu Hersh, William R Gold, Jeffrey A Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
title | Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
title_full | Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
title_fullStr | Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
title_full_unstemmed | Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
title_short | Use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
title_sort | use of simulation to assess electronic health record safety in the intensive care unit: a pilot study |
topic | Health Informatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3641430/ https://www.ncbi.nlm.nih.gov/pubmed/23578685 http://dx.doi.org/10.1136/bmjopen-2013-002549 |
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