Benjamin T Kerrey, Stephanie Boyd, Jamie Shoemaker, Matthew Zackoff, Aimee Gardner, Brenda Williams, Brant Merkt, Rachel Keller-Smith, Rebecca DeBra, Shawn McDonough, Gina Klein, Sang Hoon Lee, Kelly Ely, Yin Zhang, Michelle Rios, Gary L Geis
{"title":"在开放儿科重症监护大楼之前进行基于模拟的临床系统测试。","authors":"Benjamin T Kerrey, Stephanie Boyd, Jamie Shoemaker, Matthew Zackoff, Aimee Gardner, Brenda Williams, Brant Merkt, Rachel Keller-Smith, Rebecca DeBra, Shawn McDonough, Gina Klein, Sang Hoon Lee, Kelly Ely, Yin Zhang, Michelle Rios, Gary L Geis","doi":"10.1542/hpeds.2024-008312","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>We used simulation-based clinical systems testing (SbCST) to identify and mitigate latent safety threats (LSTs) before opening a large critical care building (CCB) at a pediatric institution.</p><p><strong>Methods: </strong>We completed an SbCST project to identify LSTs before opening a 7-floor, 319-bed CCB at a pediatric institution. The extensive preparation process included warehouse planning sessions and a formal intake process. A total of 20 care units/groups had at least one 3-hour in situ simulation session. Each simulation scenario lasted approximately 1 hour (20-minute simulation, 40-minute debriefing). Participants included clinical teams and unit stakeholders. Facilitators received SbCST training, led debriefing using a modified Promoting Excellence And Reflective Learning (PEARLS) format, and documented LSTs along with suggested mitigations. Unit/group stakeholders scored LSTs using failure modes and effect analysis (FMEA) and were responsible for completing mitigations.</p><p><strong>Results: </strong>We completed 128 of 141 (91%) scheduled sessions over a 9-week period. Across all sessions, 238 scenarios were completed. The mean number of scenarios was 2 per session and 12 per unit/care group. We identified 1500 LSTs; the median per scenario was 10 (IQR 7-15, range 0-54). FMEA scores were assigned to 1450 (97%) LSTs. Median FMEA was 8 (IQR 4-16); 76% of scores were low (<16). Mitigations were suggested for 951 (63%) of LSTs.</p><p><strong>Conclusions: </strong>Even at scale, SbCST is an effective tool for identifying LSTs. FMEA scoring and a categorization schema for mitigations enhanced SbCST. Although the scale of this project has limited generalizability, any application of this approach would likely enhance the safety of comparable clinical spaces.</p>","PeriodicalId":38180,"journal":{"name":"Hospital pediatrics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation-Based Clinical Systems Testing Before Opening a Pediatric Critical Care Building.\",\"authors\":\"Benjamin T Kerrey, Stephanie Boyd, Jamie Shoemaker, Matthew Zackoff, Aimee Gardner, Brenda Williams, Brant Merkt, Rachel Keller-Smith, Rebecca DeBra, Shawn McDonough, Gina Klein, Sang Hoon Lee, Kelly Ely, Yin Zhang, Michelle Rios, Gary L Geis\",\"doi\":\"10.1542/hpeds.2024-008312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>We used simulation-based clinical systems testing (SbCST) to identify and mitigate latent safety threats (LSTs) before opening a large critical care building (CCB) at a pediatric institution.</p><p><strong>Methods: </strong>We completed an SbCST project to identify LSTs before opening a 7-floor, 319-bed CCB at a pediatric institution. The extensive preparation process included warehouse planning sessions and a formal intake process. A total of 20 care units/groups had at least one 3-hour in situ simulation session. Each simulation scenario lasted approximately 1 hour (20-minute simulation, 40-minute debriefing). Participants included clinical teams and unit stakeholders. Facilitators received SbCST training, led debriefing using a modified Promoting Excellence And Reflective Learning (PEARLS) format, and documented LSTs along with suggested mitigations. Unit/group stakeholders scored LSTs using failure modes and effect analysis (FMEA) and were responsible for completing mitigations.</p><p><strong>Results: </strong>We completed 128 of 141 (91%) scheduled sessions over a 9-week period. Across all sessions, 238 scenarios were completed. The mean number of scenarios was 2 per session and 12 per unit/care group. We identified 1500 LSTs; the median per scenario was 10 (IQR 7-15, range 0-54). FMEA scores were assigned to 1450 (97%) LSTs. Median FMEA was 8 (IQR 4-16); 76% of scores were low (<16). Mitigations were suggested for 951 (63%) of LSTs.</p><p><strong>Conclusions: </strong>Even at scale, SbCST is an effective tool for identifying LSTs. FMEA scoring and a categorization schema for mitigations enhanced SbCST. Although the scale of this project has limited generalizability, any application of this approach would likely enhance the safety of comparable clinical spaces.</p>\",\"PeriodicalId\":38180,\"journal\":{\"name\":\"Hospital pediatrics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hospital pediatrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1542/hpeds.2024-008312\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hospital pediatrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1542/hpeds.2024-008312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Nursing","Score":null,"Total":0}
Simulation-Based Clinical Systems Testing Before Opening a Pediatric Critical Care Building.
Objective: We used simulation-based clinical systems testing (SbCST) to identify and mitigate latent safety threats (LSTs) before opening a large critical care building (CCB) at a pediatric institution.
Methods: We completed an SbCST project to identify LSTs before opening a 7-floor, 319-bed CCB at a pediatric institution. The extensive preparation process included warehouse planning sessions and a formal intake process. A total of 20 care units/groups had at least one 3-hour in situ simulation session. Each simulation scenario lasted approximately 1 hour (20-minute simulation, 40-minute debriefing). Participants included clinical teams and unit stakeholders. Facilitators received SbCST training, led debriefing using a modified Promoting Excellence And Reflective Learning (PEARLS) format, and documented LSTs along with suggested mitigations. Unit/group stakeholders scored LSTs using failure modes and effect analysis (FMEA) and were responsible for completing mitigations.
Results: We completed 128 of 141 (91%) scheduled sessions over a 9-week period. Across all sessions, 238 scenarios were completed. The mean number of scenarios was 2 per session and 12 per unit/care group. We identified 1500 LSTs; the median per scenario was 10 (IQR 7-15, range 0-54). FMEA scores were assigned to 1450 (97%) LSTs. Median FMEA was 8 (IQR 4-16); 76% of scores were low (<16). Mitigations were suggested for 951 (63%) of LSTs.
Conclusions: Even at scale, SbCST is an effective tool for identifying LSTs. FMEA scoring and a categorization schema for mitigations enhanced SbCST. Although the scale of this project has limited generalizability, any application of this approach would likely enhance the safety of comparable clinical spaces.