Healthcare IT as a source of resilience

Healthcare information technology (IT) systems can be used to inform workers and managers about changes to workplace vulnerabilities and new means that may be available to meet challenges such as widely varying demand. IT system success, though, depends on adaptability in the face of change, which is a property that IT systems do not currently demonstrate. Resilience engineering seeks to create and maintain systems that can cope and adapt to complex, changing environments and can be used to develop IT systems that are capable of adaptation as the sharp (operator) end of healthcare requires. Research into resilience needs to address questions that have genuine import for healthcare and IT systems that are intended to support it.

[1]  Richard I. Cook,et al.  Regularly irregular: how groups reconcile cross-cutting agendas and demand in healthcare , 2007, Cognition, Technology & Work.

[2]  Marc Berg,et al.  Viewpoint Paper: Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors , 2003, J. Am. Medical Informatics Assoc..

[3]  Viktor Mikhaĭlovich Glushkov,et al.  An Introduction to Cybernetics , 1957, The Mathematical Gazette.

[4]  Jeffrey M. Bradshaw,et al.  Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity , 2004, IEEE Intell. Syst..

[5]  K. Weick,et al.  Organizing for high reliability: Processes of collective mindfulness. , 1999 .

[6]  R. L. Wears.  Computers and Clinical Work--Reply , 2005 .

[7]  Health Care Forensics , 2005 .

[8]  E. Hutchins.  Cognition in the wild , 1995 .

[9]  A. Faden,et al.  Medical Harm: Historical, Conceptual and Ethical Dimensions of Iatrogenic Illness , 1998 .

[10]  M. O'hare,et al.  Searching for Safety , 1990 .

[11]  Colin F. Mackenzie,et al.  Cognitive properties of a whiteboard: A case study in a trauma centre , 2001, ECSCW.

[12]  Erik Hollnagel,et al.  Joint Cognitive Systems: Patterns in Cognitive Systems Engineering , 2006 .

[13]  D. Woods,et al.  Automation Surprises , 2001 .

[14]  Bonnie Kaplan,et al.  Evaluating informatics applications - clinical decision support systems literature review , 2001, Int. J. Medical Informatics.

[15]  Marc Berg,et al.  Rationalizing Medical Work: Decision-support Techniques and Medical Practices , 2022 .

[16]  Karlene H. Roberts,et al.  The Self-Designing High-Reliability Organization: Aircraft Carrier Flight Operations at Sea , 1987 .

[17]  Robert L. Wears,et al.  Resilience Engineering: Concepts and Precepts , 2006, Quality and Safety in Health Care.

[18]  Richard I. Cook,et al.  Creating Resilient IT: How the Sign-Out Sheet Shows Clinicians Make Healthcare Work , 2006, AMIA.

[19]  J. Doyle,et al.  Reverse Engineering of Biological Complexity , 2002, Science.

[20]  Paul R. Schulman,et al.  The Negotiated Order of Organizational Reliability , 1993 .

[21]  John Doyle,et al.  Complexity and robustness , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[22]  K. Leslie,et al.  Safety and Efficacy of Target Controlled Infusion (Diprifusor™) vs Manually Controlled Infusion of Propofol for Anaesthesia , 1999, Anaesthesia and intensive care.

[23]  Weidong Xia,et al.  Grasping the complexity of IS development projects , 2004, CACM.

[24]  Donald A. Norman,et al.  Cognitive artifacts , 1991 .

[25]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[26]  Brian S. Butler,et al.  Reliability, Mindfulness, and Information Systems , 2006, MIS Q..

[27]  W. Ashby,et al.  An Introduction to Cybernetics , 1957 .

[28]  H. Blumer,et al.  Symbolic Interactionism: Perspective and Method , 1988 .

[29]  Richard I. Cook,et al.  Lost in menuspace: user interactions with complex medical devices , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.