{"title":"Lessons in leadership: Developing a longitudinal evidence-based teaching curriculum on professionalism in healthcare.","authors":"Allen M Chen","doi":"10.1002/jhrm.70005","DOIUrl":"https://doi.org/10.1002/jhrm.70005","url":null,"abstract":"<p><p>Given the responsibility of healthcare organizations to promote positive workplace cultures, the development of appropriate teaching material focused on professionalism is of relevance. A longitudinal evidence-based educational curriculum was thus constructed to equip participants with tools to enhance team-based care and to create an inclusive, respectful environment. Core themes on which to center the curriculum were identified based on the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) statement. A MEDLINE search was undertaken to identify original peer-reviewed works using terms associated with professionalism in healthcare with the goal of building a foundational basis. Articles published from January 2014 to January 2024 and restricted to the English language were included. Based on the search results, a 12-month curriculum designed to promote workforce engagement and discussion was established. The 537 peer-reviewed publications selected to develop this thematic framework were broadly categorized as follows: ethics/accountability (N = 131); conflict resolution (N = 120); collaboration (N = 107); interpersonal communication (N = 70); empathy (N = 57); and wellness (N = 52). Between November 2023 and November 2024, a total of 12 sessions were scheduled. The feasibility of developing a standardized, evidence-based curriculum on workplace professionalism was demonstrated. The practical implications are discussed.</p>","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037368","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}
Christopher J. Allman JD, CPHRM, DFASHRM, Maggie Neustadt JD, CPHRM, DFASHRM
{"title":"Case law update","authors":"Christopher J. Allman JD, CPHRM, DFASHRM, Maggie Neustadt JD, CPHRM, DFASHRM","doi":"10.1002/jhrm.70004","DOIUrl":"https://doi.org/10.1002/jhrm.70004","url":null,"abstract":"","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 4","pages":"34-39"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880073","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}
{"title":"Editor's Letter: From lion to lamb—The risk professional's journey","authors":"Josh Hyatt DHS, MBE, MHL, DFASHRM","doi":"10.1002/jhrm.70006","DOIUrl":"https://doi.org/10.1002/jhrm.70006","url":null,"abstract":"","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 4","pages":"3-4"},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879992","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}
{"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":"<p>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.</p>","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}
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":"<p>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 <i>p</i>-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 (<i>p</i> < 0.001). The number of claims per 100 OB/GYN physicians also significantly decreased from 0.9 in 2007 to 0.4 in 2016 (<i>p</i> < 0.001). Despite an increase in the cesarean delivery rate, both maternal and neonatal mortality rates have significantly decreased (<i>p</i> < 0.001 and <i>p</i> < 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.</p>","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}
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":"<p>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.</p>","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}
{"title":"Humbled and honored","authors":"Josh Hyatt DFASHRM, CPHRM, CPPS, HEC-C","doi":"10.1002/jhrm.21590","DOIUrl":"10.1002/jhrm.21590","url":null,"abstract":"","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 3","pages":"3-4"},"PeriodicalIF":0.0,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013542","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}
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":"<p>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 (<i>p</i> < 0.05). The Shewhart control chart visually demonstrated the intervention's impact, while regression analysis confirmed its significance (<i>p</i> = 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.</p>","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}
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":"<p>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 (<i>n</i> = 41) and the intervention period was January 2023 through December 2023 (<i>n</i> = 25). First interview time was reduced from 2 days (SD = 2.38) to 1 day (SD = 1.20, <i>p</i> < 0.0001). Mean event finalization decreased from 31 (SD = 13.75) to 13 days (SD = 6.75, <i>p</i> < 0.001). Staff nervousness score decreased from 32.40 pre-interview to 13.96 post-interview (<i>p</i> < 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 (<i>p</i> = 0.05).</p>","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}
Christopher J. Allman JD, CPHRM, DFASHRM, Maggie Neustadt JD, CPHRM, FASHRM
{"title":"Case law update","authors":"Christopher J. Allman JD, CPHRM, DFASHRM, Maggie Neustadt JD, CPHRM, FASHRM","doi":"10.1002/jhrm.21588","DOIUrl":"10.1002/jhrm.21588","url":null,"abstract":"","PeriodicalId":39819,"journal":{"name":"Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management","volume":"44 3","pages":"36-41"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855430","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}