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Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency

OBJECTIVE: To evaluate the effects of health information technology systems integration on perioperative efficiency by investigating if automated notifications of patient arrival to the operating room leads to decreased time to induction by anesthesiologists. METHODS: We performed a retrospective ch...

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Autores principales: Yeoh, Cindy, Mascarenhas, Jennifer, Tan, Kay See, Tollinche, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324569/
https://www.ncbi.nlm.nih.gov/pubmed/30631863
http://dx.doi.org/10.15761/JAA.1000116
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author Yeoh, Cindy
Mascarenhas, Jennifer
Tan, Kay See
Tollinche, Luis
author_facet Yeoh, Cindy
Mascarenhas, Jennifer
Tan, Kay See
Tollinche, Luis
author_sort Yeoh, Cindy
collection PubMed
description OBJECTIVE: To evaluate the effects of health information technology systems integration on perioperative efficiency by investigating if automated notifications of patient arrival to the operating room leads to decreased time to induction by anesthesiologists. METHODS: We performed a retrospective chart review of all outpatient and short-stay patients who received General Anesthesia at our institution between July 1, 2017 and June 30, 2018. Time was used as a measure of efficiency between the two comparison groups. The two comparison groups were as follows: Group 1: Pre-event notification implementation (July 1, 2017-Dec 31, 2017) Group 2: Post-event notification implementation (Jan 1, 2018 – June 30, 2018) In this study, our primary outcome measure duration (DUR) was collected from patient electronic medical records: DUR: Time (duration in minutes) between anesthesia start and induction of anesthesia, exclusively for first case of the day. RESULTS: Duration of induction was significantly shorter post-event notification implementation compared to pre-event implementation (median duration, 6 min vs 7 min; p=0.001). CONCLUSION: We demonstrate that health information technology systems integration improves perioperative efficiency of anesthesiologists at our institution. Further investigation is warranted to provide data to support provider buy-in and greater uptake and implementation of these systems to enhance patient care and coordination in the healthcare setting.
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spelling pubmed-63245692019-01-08 Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency Yeoh, Cindy Mascarenhas, Jennifer Tan, Kay See Tollinche, Luis Anaesth Anaesth Article OBJECTIVE: To evaluate the effects of health information technology systems integration on perioperative efficiency by investigating if automated notifications of patient arrival to the operating room leads to decreased time to induction by anesthesiologists. METHODS: We performed a retrospective chart review of all outpatient and short-stay patients who received General Anesthesia at our institution between July 1, 2017 and June 30, 2018. Time was used as a measure of efficiency between the two comparison groups. The two comparison groups were as follows: Group 1: Pre-event notification implementation (July 1, 2017-Dec 31, 2017) Group 2: Post-event notification implementation (Jan 1, 2018 – June 30, 2018) In this study, our primary outcome measure duration (DUR) was collected from patient electronic medical records: DUR: Time (duration in minutes) between anesthesia start and induction of anesthesia, exclusively for first case of the day. RESULTS: Duration of induction was significantly shorter post-event notification implementation compared to pre-event implementation (median duration, 6 min vs 7 min; p=0.001). CONCLUSION: We demonstrate that health information technology systems integration improves perioperative efficiency of anesthesiologists at our institution. Further investigation is warranted to provide data to support provider buy-in and greater uptake and implementation of these systems to enhance patient care and coordination in the healthcare setting. 2018-10-03 2018-12 /pmc/articles/PMC6324569/ /pubmed/30631863 http://dx.doi.org/10.15761/JAA.1000116 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Yeoh, Cindy
Mascarenhas, Jennifer
Tan, Kay See
Tollinche, Luis
Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency
title Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency
title_full Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency
title_fullStr Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency
title_full_unstemmed Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency
title_short Automated notifications improve time to anesthesia induction: Integrating health information technology systems to enhance perioperative efficiency
title_sort automated notifications improve time to anesthesia induction: integrating health information technology systems to enhance perioperative efficiency
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324569/
https://www.ncbi.nlm.nih.gov/pubmed/30631863
http://dx.doi.org/10.15761/JAA.1000116
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