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Healthcare error proliferation model

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cheese slices are dubbed defensive layers to describe their role and function as the system location outfitted with features capable of intercepting and deflecting hazards. The layers represent discrete locations or organizational levels potentially populated with errors permitting error progression. The four layers include: 1) organizational leadership, 2) risky supervision, 3) situations for unsafe practices, and 4) unsafe performance.
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McDaniel & Driebe, 2001) and co-evolve with the environment (Casti, 1997). Healthcare professionals function in the system as diverse actors within the complex environment utilizing different methods to process information (Coleman, 1999) and solve systemic problems within and across organizational layers (McDaniel & Driebe, 2001).
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accidents might be revealed (Leape et al., 1995). Experts have discussed the importance of examining these layers within the context of the complex adaptive healthcare system (Kohn et al., 2000; Wiegmann & Shappell, 2003) and considering the psychological safety of clinicians. Hence, this model expands Reason’s seminal work.
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Leape, L. L., Bates, D. W., Cullen, D. J., Cooper, J., Demonaco, H. J., Gallivan, T., R., H., Ives, J., Laird, N., Laffel, G., Nemeskal, R., Peterson, L. A., Porter, K., Servi, D., Shea, B. F., Small, S. D., Sweitzer, B. J., Thompson, B. T., & van der Vliet, M. (1995). Systems analysis of adverse
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A complex adaptive healthcare system (CAHS) is a care delivery enterprise with diverse clinical and administrative agents acting spontaneously, interacting in nonlinear networks where agents and patients are information processors, and actively co-evolve with their environment with the purposed to
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The model incorporates the complex adaptive healthcare system as a key characteristic. Complex adaptive systems characteristically demonstrate self-organization as diverse agents interact spontaneously in nonlinear relationships where professionals act as information processors (Cilliers, 1998;
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The healthcare error proliferation model (HEPM) adapts the Swiss Cheese Model to the complexity of healthcare delivery systems and integrated organizations. The Swiss Cheese Model, likens the complex adaptive system to multiple hole infested slices of Swiss cheese positioned side-by-side. The
106:. The healthcare error proliferation model explains the etiology of error and the sequence of events typically leading to adverse outcomes. This model emphasizes the role organizational and external cultures contribute to error identification, prevention, mitigation, and defense construction. 157:
The HEPM portrays hospitals as having multiple operational defensive layers outfitted with essential elements necessary to maintain key defensive barricades (Cook & O'Connor, 2005; Reason, 2000). By examining the defensive layers attributes, prospective locales of failure, the etiology of
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in that they are diverse in both structure (e.g. nursing units, pharmacies, emergency departments, operating rooms) and professional mix (e.g. nurses, physicians, pharmacists, administrators, therapists) and made up of multiple interconnected elements with
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Rasmussen, J. (1999). The concept of human error: Is it useful for the design of safe systems in health care? In C. Vincent & B. deMoll (Eds.), Risk and safety in medicine: 31-47. London: Elsevier.
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Anderson, R. A., Issel, M. L., & McDaniel, R. R. (2003). Nursing homes as complex adaptive systems: Relationship between management practice and resident outcomes. Nursing Research, 52(1): 12-21.
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Reason, J. T., Carthey, J., & de Leval, M. R. (2001). Diagnosing vulnerable system syndrome: An essential prerequisite to effective risk management. Quality in Health Care, 10(S2): 21-25.
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Palmieri, P. A., DeLucia, P. R., Ott, T. E., Peterson, L. T., & Green, A. (2008). "The anatomy and physiology of error in averse healthcare events". In E. Ford; G. Savage (eds.).
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Berta, W. B. & Baker, R. (2004). Factors that impact the transfer and retention of best practices for reducing error in hospitals. Health Care Management Review, 29(2): 90-97.
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Leape, L. L. & Berwick, D. M. (2005). Five years after "To err is human": What have we learned? Journal of the American Medical Association, 293(19): 2384-2390.
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Leonard, M. L., Frankel, A., & Simmonds, T. (2004). Achieving safe and reliable healthcare: Strategies and solutions. Chicago: Health Administration Press.
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Cook, R. I., Render, M., & Woods, D. D. (2000). Gaps in the continuity of care and progress on patient safety. British Medical Journal, 320(7237): 791-794.
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Palmieri, P. A., DeLucia, P. R., Ott, T. E., Peterson, L. T., & Green, A. (2008). "The anatomy and physiology of error in adverse health care events".
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Roberts, K. H. (2002). High reliability systems. Report on the institute of medicine committee on data standards for patient safety on September 23, 2003.
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Reason, J. T. & Mycielska, K. (1982). Absent-minded? The psychology of mental lapses and everyday errors. Englewood Cliffs, NJ: Prentice-Hall Inc.
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Leduc, P. A., Rash, C. E., & Manning, M. S. (2005). Human factors in UAV accidents, Special Operations Technology, Online edition ed., Vol. 3.
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Waldrop, M. M. (1990). Complexity: The emerging science at the edge of order and chaos. New York: Simon & Schuster (
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Roberts, K. (1990). Some characteristics of one type of high reliability organization. Organization Science, 1(2): 160-176.
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Reason, J. T. & Hobbs, A. (2003). Managing maintenance error: A practical guide. Aldershot, England: Ashgate.
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Chiles, J. R. (2002). Inviting disaster: Lessons from the edge of technology. New York: HarperCollins Publishers.
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Cilliers, P. (1998) Complexity and post modernism: Understanding complex systems. New York: Routledge. (
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Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Reading, MA: Helix Books. (
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Reason, J. T. (1997). Managing the risks of organizational accidents. Aldershot: Ashgate Publishing.
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drug events. ADE prevention study group. Journal of the American Medical Association, 274(1): 35-43.
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Holland, J. H. (1992). Adaptation in natural and artificial systems. Cambridge, MA: MIT Press. (
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Reason, J. T. (1998). Managing the risks of organizational accidents. Aldershot, England: Ashgate.
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Coleman, H. J. (1999). What enables self-organizing behavior in business. Emergence, 1(1): 33-48.
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Reason, J. T. (2000). Human error: Models and management. British Medical Journal, 320, 768-770.
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have extended CAS theory and research to the social sciences such as education and healthcare.
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Rasmussen, J. (1990). The role of error in organizing behavior. Ergonomics, 33: 1185-1199.
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Holland, J. H. (1998). Emergence: From chaos to order. Reading, MA: Addison-Wesley. (
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tendencies in that they have the capacity to change and learn from experience. The term
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Reason, J. T. (1990). Human error. New York: Cambridge University Press.
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delivery system and the attribution of human error within these
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The anatomy and physiology of error in averse healthcare events
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Anderson, R. A., Issel, M. L., & McDaniel, R. R. (2003).
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Complexity and post modernism: Understanding complex systems
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Index

list of references
related reading
external links
inline citations
improve
introducing
Learn how and when to remove this message
Swiss Cheese Model
complexity
healthcare
systems
complex adaptive systems
Santa Fe Institute
John H. Holland
Murray Gell-Mann
Paul Cilliers
patient-centered outcomes
Adverse effect (medicine)
Adverse event
Evidence-based medicine
Hospital accreditation
Iatrogenesis
Iatrogenic disorder
International healthcare accreditation
Latent human error
Medical error
Nursing care
Patient safety organization
Peter Pronovost
Root cause analysis

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