Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management最新文献_第3页

Case law update 判例法更新

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-04-24 DOI: 10.1002/jhrm.70004

Christopher J. Allman JD, CPHRM, DFASHRM, Maggie Neustadt JD, CPHRM, DFASHRM

引用次数: 0

Editor's Letter: From lion to lamb—The risk professional's journey 编者按：从狮子到羔羊——风险专业人士的旅程

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-04-20 DOI: 10.1002/jhrm.70006

Josh Hyatt DHS, MBE, MHL, DFASHRM

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Managing legal risks in health information exchanges: A comprehensive approach to privacy, consent, and liability 管理健康信息交换中的法律风险：隐私、同意和责任的综合方法。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-03-04 DOI: 10.1002/jhrm.70002

Tariq K. Alhasan LLB, LLM

{"title":"Managing legal risks in health information exchanges: A comprehensive approach to privacy, consent, and liability","authors":"Tariq K. Alhasan LLB, LLM","doi":"10.1002/jhrm.70002","DOIUrl":"10.1002/jhrm.70002","url":null,"abstract":"Health Information Exchanges (HIEs) are revolutionizing healthcare by facilitating secure and timely patient data sharing across diverse organizations. However, their rapid expansion has introduced significant legal and ethical challenges, particularly regarding privacy, informed consent, and liability risks. This paper critically assesses the effectiveness of existing legal frameworks, including Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR), in addressing these challenges, revealing gaps in their application within HIEs. It argues that current consent models fail to provide meaningful control for patients, while privacy protections are weakened by issues such as re-identification and jurisdictional inconsistencies. Moreover, liability in data breaches remains complex due to ambiguous responsibility among stakeholders. The study concludes that reforms are needed, including dynamic consent models, standardized liability frameworks, and enhanced data governance structures, to ensure secure, ethical, and effective data sharing. These changes are essential to fostering patient trust, improving healthcare delivery, and aligning with Sustainable Development Goal (SDG) 3—ensuring healthy lives and promoting well-being for all.","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 4","pages":"12-24"},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Medical-legal claims in obstetrics and gynecology: Japan versus the United States 妇产科的医疗法律索赔：日本与美国。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-03-03 DOI: 10.1002/jhrm.70001

Kyosuke Kamijo MD, Yoshimitsu Wada MD, Kentaro Ishida MD, Steven L. Warsof MD, George Saade MD, Tetsuya Kawakita MD, MS

{"title":"Medical-legal claims in obstetrics and gynecology: Japan versus the United States","authors":"Kyosuke Kamijo MD, Yoshimitsu Wada MD, Kentaro Ishida MD, Steven L. Warsof MD, George Saade MD, Tetsuya Kawakita MD, MS","doi":"10.1002/jhrm.70001","DOIUrl":"10.1002/jhrm.70001","url":null,"abstract":"This study investigates the factors contributing to the decline in obstetrics and gynecology (OB/GYN) malpractice claims in Japan and highlights professional attitudes, institutional support systems, clinical practices, and policies that can further reduce such claims, while comparing these findings with malpractice data from the United States. We analyzed OB/GYN closed malpractice claims from the Supreme Court of Japan, along with data on maternal and neonatal mortality rates from the Ministry of Health, Labour and Welfare. We used Jonckheere-Terpstra tests to evaluate trends, considering p-values < 0.05 as statistically significant. In Japan, the proportion of medical malpractice claims in OB/GYN dropped significantly from 15.1% in 2004 to 5.2% in 2022 (p < 0.001). The number of claims per 100 OB/GYN physicians also significantly decreased from 0.9 in 2007 to 0.4 in 2016 (p < 0.001). Despite an increase in the cesarean delivery rate, both maternal and neonatal mortality rates have significantly decreased (p < 0.001 and p < 0.05, respectively). Japan's OB/GYN field saw a dramatic reduction in claims due to heightened awareness after a wrongful criminally charge, the establishment of financial compensation for cerebral palsy, standardized clinical guidelines, and adverse event investigation system.","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 4","pages":"5-11"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating enterprise risk management to address AI-related risks in healthcare: Strategies for effective risk mitigation and implementation 整合企业风险管理以解决医疗保健中与人工智能相关的风险：有效降低和实施风险的战略。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-02-14 DOI: 10.1002/jhrm.70000

Gianmarco Di Palma MD, Roberto Scendoni MD, PhD, Vittoradolfo Tambone MD, PhD, Rossana Alloni MD, Francesco De Micco MD, PhD

{"title":"Integrating enterprise risk management to address AI-related risks in healthcare: Strategies for effective risk mitigation and implementation","authors":"Gianmarco Di Palma MD, Roberto Scendoni MD, PhD, Vittoradolfo Tambone MD, PhD, Rossana Alloni MD, Francesco De Micco MD, PhD","doi":"10.1002/jhrm.70000","DOIUrl":"10.1002/jhrm.70000","url":null,"abstract":"The incorporation of artificial intelligence (AI) in health care offers revolutionary enhancements in patient diagnostics, clinical processes, and overall access to services. Nevertheless, this technological transition brings forth various new, intricate risks that pose challenges to current safety and ethical norms. This research explores the ability of enterprise risk management as an all-encompassing framework to tackle these arising risks, providing both a forward-looking and responsive strategy designed for the health care industry. At the core of this method are instruments that together seek to proactively uncover and address AI-related weaknesses like algorithmic bias, system failures, and data privacy issues. On the reactive side, it incorporates incident reporting systems and root cause analysis, tools that enable health care providers to quickly address unexpected events and consistently improve AI implementation procedures. However, some application difficulties still exist. The unclear, “black box” characteristics of numerous AI models hinder transparency and responsibility, prompting inquiries about the clarity of AI-generated choices and their adherence to ethical benchmarks in patient treatment. The research highlights that with the progress of AI technologies, the enterprise risk management framework also needs to evolve, addressing these new complexities while promoting a culture focused on safety in health care settings.","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 4","pages":"25-33"},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jhrm.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Humbled and honored 谦卑和荣幸。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-01-19 DOI: 10.1002/jhrm.21590

Josh Hyatt DFASHRM, CPHRM, CPPS, HEC-C

引用次数: 0

Streamlining incident reporting system: A lean approach to enhance patient and staff safety in a Middle Eastern prehospital emergency care setting 精简事件报告系统：在中东院前急救环境中提高患者和工作人员安全的精益方法。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2025-01-05 DOI: 10.1002/jhrm.21589

Hassan Farhat PhD, Guillaume Alinier PhD, Farid Ahmad Sohail PhD, Emna Derbel MSc, Fatma Babay EP. Rekik BN, Rafik Khedhiri BSc, Ma Cleo Alcantara RN, Anish Varghuese MSc, Abraham Ranjith RN, Elizabeth Sidaya MSc, Moza Al Ishaq PhD, Loua Al Shaikh MBBS, James Laughton MBBS

{"title":"Streamlining incident reporting system: A lean approach to enhance patient and staff safety in a Middle Eastern prehospital emergency care setting","authors":"Hassan Farhat PhD, Guillaume Alinier PhD, Farid Ahmad Sohail PhD, Emna Derbel MSc, Fatma Babay EP. Rekik BN, Rafik Khedhiri BSc, Ma Cleo Alcantara RN, Anish Varghuese MSc, Abraham Ranjith RN, Elizabeth Sidaya MSc, Moza Al Ishaq PhD, Loua Al Shaikh MBBS, James Laughton MBBS","doi":"10.1002/jhrm.21589","DOIUrl":"10.1002/jhrm.21589","url":null,"abstract":"Incident reporting in Emergency Medical Services (EMS) is vital for enhancing patient safety and system performance, but time constraints often impede efficient documentation. Hamad Medical Corporation Ambulance Service Group (HMCASG) implemented a streamlined “Occurrence, Variance, and Accident” (OVA) reporting system to address these challenges. This study evaluated the effectiveness of this system in reducing incident report completion time. A “Lean” approach was used to streamline the reporting process. Four-hundred eighty-two OVA reports (241 baseline, 241 post-intervention) submitted between September 13 and October 8, 2022, were analyzed. The time taken to complete an OVA report was measured. Statistical analyses included Student t-tests, bivariate regression, and a Shewhart control chart. The mean time to complete an OVA report decreased significantly from 328.9 to 145.09 seconds (p < 0.05). The Shewhart control chart visually demonstrated the intervention's impact, while regression analysis confirmed its significance (p = 0.007). The streamlined OVA reporting system significantly reduced reporting time, addressing the challenge of balancing incident reporting with emergency response availability. This lean-based approach enhanced operational efficiency, promoted risk reduction, and strengthened prehospital care's foundation for quality improvement.","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 3","pages":"5-14"},"PeriodicalIF":0.0,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142932657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Creation of root cause analysis and action (RCA2) standard work by a multidisciplinary team to prevent harm, reduce bias, and improve safety culture 创建一个多学科团队的根本原因分析和行动（RCA2）标准工作，以防止伤害，减少偏见，并改善安全文化。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2024-12-20 DOI: 10.1002/jhrm.21587

Donise Musheno MS, RN, CPHQ, Mary Harnish MSN, RN, CPPS, Justin Roberts DO, Andrew Smokowicz MHA, CPHRM

{"title":"Creation of root cause analysis and action (RCA2) standard work by a multidisciplinary team to prevent harm, reduce bias, and improve safety culture","authors":"Donise Musheno MS, RN, CPHQ, Mary Harnish MSN, RN, CPPS, Justin Roberts DO, Andrew Smokowicz MHA, CPHRM","doi":"10.1002/jhrm.21587","DOIUrl":"10.1002/jhrm.21587","url":null,"abstract":"This project aimed to (1) develop a multidisciplinary team to rapidly conduct event analysis, (2) create tools to standardize event communication, (3) expand resiliency support provided to staff, and (4) decrease cycle time between event occurrence and action implementation. A multidisciplinary team was created to investigate safety events. The team developed standard work including key stakeholder notification of the event, a huddle to facilitate immediate mitigation of risk, staff resiliency support, a consistent interview approach, analysis of investigation data, and an accountability meeting to ensure consensus on steps required to prevent future harm. Sustainability is hardwired through ongoing monitoring of metrics. The baseline data collection period was January 2020 through December 2022 (n = 41) and the intervention period was January 2023 through December 2023 (n = 25). First interview time was reduced from 2 days (SD = 2.38) to 1 day (SD = 1.20, p < 0.0001). Mean event finalization decreased from 31 (SD = 13.75) to 13 days (SD = 6.75, p < 0.001). Staff nervousness score decreased from 32.40 pre-interview to 13.96 post-interview (p < 0.001) on a 100-point analog scale. Non-fall related safety events decreased from an average of 10.5 per year between July 1, 2021–June 30, 2023 to a total of 6 between July 1, 2023–June 30, 2024 (p = 0.05).","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 3","pages":"15-25"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Case law update 法规和条例规定医院在提供急诊服务方面负有不可委托的义务，无论医院是通过自己的工作人员履行这些义务，还是与作为独立承包商的医生签订合同履行这些义务。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2024-12-18 DOI: 10.1002/jhrm.21588

Christopher J. Allman JD, CPHRM, DFASHRM, Maggie Neustadt JD, CPHRM, FASHRM

引用次数: 0

Haddon matrix model: Application to workplace violence in a hospital setting Haddon矩阵模型：应用于医院环境下的工作场所暴力。

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management Pub Date : 2024-12-10 DOI: 10.1002/jhrm.21586

Della J. Derscheid PhD, APRN-BC, MS, RN, Christopher Meyer BSN, RN, Judith E. Arnetz PhD, MPH, PT

{"title":"Haddon matrix model: Application to workplace violence in a hospital setting","authors":"Della J. Derscheid PhD, APRN-BC, MS, RN, Christopher Meyer BSN, RN, Judith E. Arnetz PhD, MPH, PT","doi":"10.1002/jhrm.21586","DOIUrl":"10.1002/jhrm.21586","url":null,"abstract":"The aim of this study was to identify hospital-based workplace violence (WPV) risk factors with the Haddon Matrix Model (HMM) to determine its potential utility to conceptualize multiple risks for WPV events. This descriptive study utilized two independent convenience samples Data from behavioral emergencies (2014–2015) for patient violence (N = 192) and from health care staff (N = 380) 12-month violence survey responses (2015) in a Midwestern academic hospital were analyzed. Logistic regression examined patient features associated with physical violence. Survey questions pertained to employee, environment, and cultural factors associated with WPV; responses were examined with Chi-square and two-sample t-tests. Violence risk factors populated the 4 Haddon Matrix domains at pre-event time frames as Host (worker)-age/demographics, Agent (patient)-age/gender, Physical Environment-door/window structure, and Social Environment-worker safety. Risks at event time frames populated for Agent—behavior/delirium, and Physical Environment—event medication/patient identification. The Haddon Matrix identification of hospital violence risks indicates its utility as a comprehensive approach to workplace violence.","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 3","pages":"26-35"},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0