Healthcare error proliferation model
Encyclopedia
The Healthcare Error Proliferation Model is an adaptation of James Reason’s Swiss Cheese Model
Swiss Cheese model
Models of accident causation are used for the risk analysis and risk management of human systems. Since the 1990s they have gained widespread acceptance and use in healthcare, in the aviation safety industry, and in emergency service organizations...

 designed to illustrate the complexity
Complexity
In general usage, complexity tends to be used to characterize something with many parts in intricate arrangement. The study of these complex linkages is the main goal of complex systems theory. In science there are at this time a number of approaches to characterizing complexity, many of which are...

 inherent in the contemporary healthcare delivery system and the attribution
Attribution
Attribution may refer to:Something, such as a quality or characteristic, that is related to a particular possessor; an attribute.*Attribution , concept in copyright law requiring an author to be credited...

 of human error within these systems. 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.

Introduction

Healthcare systems are complex 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 adaptive tendencies in that they have the capacity to change and learn from experience. The term complex adaptive systems (CAS) was coined at the interdisciplinary Santa Fe Institute
Santa Fe Institute
The Santa Fe Institute is an independent, nonprofit theoretical research institute located in Santa Fe and dedicated to the multidisciplinary study of the fundamental principles of complex adaptive systems, including physical, computational, biological, and social systems.The Institute houses a...

 (SFI), by John H. Holland
John Henry Holland
John Henry Holland is an American scientist and Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He is a pioneer in complex systems and nonlinear science. He is known as the father of genetic algorithms. He was awarded...

, and Murray Gell-Mann
Murray Gell-Mann
Murray Gell-Mann is an American physicist and linguist who received the 1969 Nobel Prize in physics for his work on the theory of elementary particles...

. Subsequently, scholars such as Ruth Anderson, Rubin McDaniels, and Paul Cilliers have extended CAS theory and research to the social sciences such as education and healthcare.

Model Overview

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 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.

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 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.

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; 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).

Definitions

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 produce safe and reliable patient-centered outcomes.

Other Literature

Complexity Theory
  • Holland, J. H. (1992). Adaptation in natural and artificial systems. Cambridge, MA: MIT Press. (ISBN: 978-0262581110)
  • Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Reading, MA: Helix Books. (ISBN 978-0201442304)
  • Holland, J. H. (1998). Emergence: From chaos to order. Reading, MA: Addison-Wesley. (ISBN 978-0738201429)
  • Waldrop, M. M. (1990). Complexity: The emerging science at the edge of order and chaos. New York: Simon & Schuster (ISBN 978-0671767891)
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