Background: An understanding of how health information technology (health IT) can contribute to sentinel events is necessary to learn how to safely implement and use health IT. An analysis was conducted to explore how health IT may contribute to adverse events that result in death or severe harm to the patient.
Methods: For 3,375 de-identified sentinel events voluntarily reported to The Joint Commission between January 1, 2010, and June 30, 2013, categorical and keyword queries were used to search for potential health IT-related events. Each of the identified events was reviewed on the basis of findings from root cause analyses (RCAs) to determine if health IT contributed to or caused the event, and if so, how and why. The contributing factors were classified using a composite of existing classification schemes.
Results: A total of 120 health IT-related sentinel events (affecting 125 patients) were identified. More than half resulted in patient death, 30% resulted in unexpected or additional care, and 11% resulted in permanent loss of function. The three most frequently identified event types were (1) medication errors, (2) wrong-site surgery (including the wrong side, wrong procedure, and wrong patient), and (3) delays in treatment. Contributing factors were most frequently associated with the human-computer interface, workflow and communication, and clinical content-related issues.
Conclusions: The classification of health IT-related contributing factors indicates that health IT-related events are primarily associated with the sociotechnical dimensions of human-computer interface, workflow and communication, and clinical content. Improved identification of health IT-related contributing factors in the context of the sociotechnical dimensions may help software developers, device manufacturers, and end users in health care organizations proactively identify vulnerabilities and hazards, ultimately reducing the risk of harm to patients.
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http://dx.doi.org/10.1016/s1553-7250(16)42008-8 | DOI Listing |
Res Involv Engagem
December 2024
Rotman Research Institute, Baycrest Academy for Research and Education, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada.
Background: Collaborative research with end-users is an effective way to generate meaningful research applications and support greater impact on practice and knowledge exchange. To address these needs, a Citizen Advisory Group (CAG) of nine older adults (ages 64-80, 67% women) was formed to advise scientists on the development of Brain Health PRO (BHPro), a web-based platform designed to increase dementia prevention literacy and awareness. The current study evaluated if the CAG met its objectives, how inclusion of the CAG aligned with collaborative research approaches, and the CAG's experience and satisfaction throughout the development process.
View Article and Find Full Text PDFSports (Basel)
November 2024
Sport, Performance, and Nutrition Research Group, School of Allied Health, Human Services and Sport, La Trobe University, 1 Kingsbury Drive, Bundoora, Melbourne, VIC 3083, Australia.
The purpose of this study was to explore the experiential knowledge of tennis coaches as it related to the development of grip positions in tennis athletes. Accredited tennis coaches (n = 11) completed semi-structured interviews consisting of open-ended questions about their coaching background, the importance of grip positions compared with other areas of foundational development, and their opinions on using physically-constraining tools (PCTs). Two major themes, "Grip positions are an adaptive skill" and "Why and how do I modify an athlete's grip?", were identified.
View Article and Find Full Text PDFTher Adv Infect Dis
November 2024
Instituto Nacional de Infectología Evandro Chagas, Fundação Oswaldo Cruz (INI-Fiocruz), Rio de Janeiro, Brazil.
J Med Internet Res
November 2024
Community Health Sciences, Boston University School of Public Health, Boston, MA, United States.
Eur Heart J Digit Health
September 2024
The Allan Lab, Jersey General Hospital, St Helier, Jersey.
Aims: Electrocardiogram (ECG) interpretation is an essential skill across multiple medical disciplines; yet, studies have consistently identified deficiencies in the interpretive performance of healthcare professionals linked to a variety of educational and technological factors. Despite the established correlation between noise interference and erroneous diagnoses, research evaluating the impacts of digital denoising software on clinical ECG interpretation proficiency is lacking.
Methods And Results: Forty-eight participants from a variety of medical professions and experience levels were prospectively recruited for this study.
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