EM-T3Journal of Veterinary Emergency and Critical Care202233(1): 11-15The case for quality improvement in veterinary medicineMeredith L. Daly被引 7阅读 6紧急医疗服务路网损毁与基础设施韧性
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EM-T2Journal of Patient Safety202117(8): e1179-e1185What Severe Medication Errors Reported to Health Care Supervisory Authority Tell About Medication Safety?Carita Lindén-Lahti, Anna Takala, Anna-Riia Holmström, Marja Airaksinen被引 27阅读 1高影响力 前 10%开放获取紧急医疗服务
EM-T3Pharmacoepidemiology and Drug Safety201928(5): 657-664A mixed methods analysis of clozapine errors reported to the National Reporting and Learning SystemKeval Dabba, Matthew Elswood, Ahmed Ameer, David Gerrett 等 5 人被引 11阅读 1开放获取紧急医疗服务
EM-T3Prehospital Emergency Care202228(1): 14-22Machine Learning Analysis to Identify Data Entry Errors in Prehospital Patient Care Reports: A Case Study of a National Out-of-Hospital Cardiac Arrest RegistryDong Hyun Choi, Jeong Ho Park, Young Ho Choi, Kyoung Jun Song 等 6 人被引 12阅读 1基金开放获取健康信息管理金融风险与机器学习
EM-T2Journal of Patient Safety202420(4): e40-e44Making Sense of Patient Safety Through Cultural-Historical Activity Theory and Complexity ModelingJos Hoofs, Dorthe O. Klein, Alan Bleakley, Roger J. M. W. Rennenberg被引 4阅读 2开放获取紧急医疗服务
EM-T3Drug Safety202447(4): 389-400Exploring the Role of Guidelines in Contributing to Medication Errors: A Descriptive Analysis of National Patient Safety Incident DataMatthew D. Jones, Shaojun Liu, Freyja Powell, Asma Samsor 等 9 人被引 10阅读 1高影响力 前 10%开放获取紧急医疗服务
EM-T2Traffic Injury Prevention202021(8): 575-580System providing automated feedback improves task learning outcomes during child restraint system (CRS) installationsJulie A. Mansfield, John H. Bolte被引 6阅读 1开放获取安全、风险、可靠性与质量
EM-WoSExpert Systems with Applications2023224: 120013-120013New metric formulas that include measurement errors in machine learning for natural sciencesUmberto Michelucci, Francesca Venturini被引 8阅读 2开放获取人工智能金融风险与机器学习
EM-T2BMJ Quality & Safety201828(2): 151-159Application of electronic trigger tools to identify targets for improving diagnostic safetyDaniel R. Murphy, Ashley N. D. Meyer, Dean Forrest Sittig, Derek W Meeks 等 6 人被引 127阅读 1高影响力 前 1%基金开放获取全科医学金融风险与机器学习
EM-T3Emergency Medicine Journal201936(8): 453-455Learning from mistakes on social mediaSarah Louise Edwards, Damian Roland被引 17阅读 1开放获取健康(社会科学)
EM-T2Journal of Patient Safety201817(8): e1383-e1393Patient Safety Incidents in Primary Care Dentistry in England and Wales: A Mixed-Methods StudyEduardo Ensaldo‐Carrasco, Asiyah Sheikh, Kathrin Cresswell, Raman Bedi 等 6 人被引 17基金开放获取紧急医疗服务
A+Organization ScienceUTD24FT50201526(6): 1682-1701Organizational Oscillation Between Learning and Forgetting: The Dual Role of Serious ErrorsPamela R. Haunschild, Francisco Polidoro, David Chandler被引 106阅读 4高影响力 前 10%组织行为与人力资源管理
EM-T3Academic Emergency Medicine202432(3): 327-339Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directionsRobert A. Taylor, Rohit B. Sangal, Moira E. Smith, Adrian D. Haimovich 等 12 人被引 62阅读 1高影响力 前 10%开放获取健康信息学
EM-T2BMJ Quality & Safety201524(2): 103-110Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx frameworkHardeep Singh, Dean Forrest Sittig被引 196阅读 1高影响力 前 1%基金开放获取全科医学
EM-T2Journal of Patient Safety202522(1): 22-30Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency DepartmentMoein Enayati, Mahsa Khalili, Shrinath Patel, Todd R. Huschka 等 9 人被引 2阅读 1人工智能金融风险与机器学习
EM-T2BMJ Quality & Safety2026bmjqs-2025Learning from complaints about surgical care: a large language model-assisted sequential methods analysisCameron Iain Wells, Allan Han, Nejo Joseph, Chris Varghese 等 6 人被引 1阅读 5高影响力 前 10%基金紧急医疗服务大模型与智能体
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A+Organization ScienceUTD24FT50202536(6): 2324-2348Selection Regimes and Selection ErrorsDmitry Sharapov, Linus Dahlander被引 5阅读 3高影响力 前 10%开放获取决策科学
EM-WoSInformation Sciences2024678: 120856-120856Coping with AI errors with provable guaranteesIvan Tyukin, Tatiana Tyukina, Daniël Paul van Helden, Zedong Zheng 等 9 人被引 7基金开放获取人工智能