1. Clinical Cybersecurity Training Through Novel High-Fidelity Simulations
- Author
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Jeffrey Tully, Jonathan Fisher, Christian Dameff, Jordan Selzer, and James P. Killeen
- Subjects
Male ,Adolescent ,020205 medical informatics ,Decision Making ,Health Care Sector ,02 engineering and technology ,Data breach ,Computer security ,computer.software_genre ,Patient care ,Simulated patient ,03 medical and health sciences ,0302 clinical medicine ,Patient harm ,Health care ,0202 electrical engineering, electronic engineering, information engineering ,Humans ,Medicine ,Computer Simulation ,030212 general & internal medicine ,Computer Security ,Aged ,Protected health information ,business.industry ,Teaching ,Middle Aged ,Patient Simulation ,Equipment and Supplies ,Emergency Medicine ,business ,computer ,Confidentiality - Abstract
Background Cybersecurity risks in health care systems have traditionally been measured in data breaches of protected health information, but compromised medical devices and critical medical infrastructure present risks of disruptions to patient care. The ubiquitous prevalence of connected medical devices and systems may be associated with an increase in these risks. Objective This article details the development and execution of three novel high-fidelity clinical simulations designed to teach clinicians to recognize, treat, and prevent patient harm from vulnerable medical devices. Methods Clinical simulations were developed that incorporated patient-care scenarios featuring hacked medical devices based on previously researched security vulnerabilities. Results Clinicians did not recognize the etiology of simulated patient pathology as being the result of a compromised device. Conclusions Simulation can be a useful tool in educating clinicians in this new, critically important patient-safety space.
- Published
- 2019
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