title: The Contribution of Sociotechnical Factors to Health Information Technology-Related Sentinel Events.
abstract: 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.
authors.affiliation: The Joint Commission, Oakbrook Terrace, Illinois, USA.
authors.forename: Gerard M
authors.initials: GM
authors.lastname: Castro
authors.forename: Lisa
authors.initials: L
authors.lastname: Buczkowski
authors.forename: Joanne M
authors.initials: JM
authors.lastname: Hafner
mesh_terms: D003142:Communication; D003201:Computers; D006801:Humans; D007256:Information Systems / Q000706:statistics & numerical data*; D019300:Medical Errors / Q000145:classification / Q000706:statistics & numerical data*; D008508:Medication Errors / Q000706:statistics & numerical data; D057766:Policy; D060891:Root Cause Analysis; D018571:Sentinel Surveillance; D012984:Software; D013997:Time Factors; D057188:Workflow