Your browser doesn't support javascript.
loading
In-situ simulation for the detection of latent risk threats in a hyperbaric medicine department.
Paetow, Glenn; Logue, Chris; TenBrink, William; Zarzar, Rochelle; Driehorst, Mindi; Brown, Lisa; Jensen, Andrea; Omodt, Steven; Hart, Daniell.
Affiliation
  • Paetow G; Hennepin Healthcare, Interdisciplinary Simulation & Education Center, Minneapolis, Minnesota U.S.
  • Logue C; Hennepin Healthcare, Interdisciplinary Simulation & Education Center, Minneapolis, Minnesota U.S.
  • TenBrink W; Hennepin Healthcare, Interdisciplinary Simulation & Education Center, Minneapolis, Minnesota U.S.
  • Zarzar R; Hennepin Healthcare, Interdisciplinary Simulation & Education Center, Minneapolis, Minnesota U.S.
  • Driehorst M; Hennepin Healthcare, Interdisciplinary Simulation & Education Center, Minneapolis, Minnesota U.S.
  • Brown L; Hennepin Healthcare, Interdisciplinary Simulation & Education Center, Minneapolis, Minnesota U.S.
  • Jensen A; Hennepin Healthcare, Department of Hyperbaric Medicine, Minneapolis, Minnesota U.S.
  • Omodt S; Hennepin Healthcare, Department of Hyperbaric Medicine, Minneapolis, Minnesota U.S.
  • Hart D; Hennepin Healthcare, Department of Hyperbaric Medicine, Minneapolis, Minnesota U.S.
Undersea Hyperb Med ; 47(2): 211-216, 2020.
Article in En | MEDLINE | ID: mdl-32574437
Simulation (SIM) can be used in the quality improvement process to discover latent risk threats (LRTs) by running in-situ simulation cases in the clinical environment. We utilized this methodology in the hyperbaric chamber to run six in-situ SIM sessions between February 2017 and January 2019. The debriefing portion of each SIM was used to discuss and document all discovered LRTs. These safety threats were aggregated and categorized, resulting in a total of 22 unique LRTs. LRTs included problems or challenges with equipment, team education, policy/processes, communications, and medications. At a three-month follow-up, the hyperbaric leadership team had addressed each of the 22 unique LRTs. SIM can be used to identify, categorize and prioritize LRTs in an effective manner, in order to improve the health care delivery system in a hyperbaric medicine department.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Improvement / Patient Safety / Simulation Training / Hyperbaric Oxygenation Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Undersea Hyperb Med Journal subject: FISIOLOGIA Year: 2020 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Improvement / Patient Safety / Simulation Training / Hyperbaric Oxygenation Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Undersea Hyperb Med Journal subject: FISIOLOGIA Year: 2020 Document type: Article Country of publication: United States