Models and methods of work system design need to be developed and implemented to advance research in and design for patient safety. In this paper we describe how the Systems Engineering Initiative for Patient Safety (SEIPS) model of work system and patient safety, which provides a framework for understanding the structures, processes and outcomes in health care and their relationships, can be used toward these ends. An application of the SEIPS model in one particular care setting (outpatient surgery) is presented and other practical and research applications of the model are described.
Most errors and inefficiencies in patient care arise not from the solitary actions of individuals but from conflicting, incomplete, or suboptimal systems of which they are a part and with which they interact. To improve the design of these systems, the US Institute of Medicine (IOM) has proposed the application of engineering concepts and methods-in particular, human factors and systems engineering.
1-3Emphasis on system design was promoted in a recent report by the National Academy of Engineering and the IOM: ''… it is time to… establish a vigorous new partnership between engineering and health care and hasten a transition to a patient-centered 21st century health care system''.4 Our research program, the Systems Engineering Initiative for Patient Safety (SEIPS, http:// www2.fpm.wisc.edu/seips/), originally funded by the Agency for Healthcare Research and Quality, meets this challenge through a novel integration of human factors and healthcare quality models and proposes the SEIPS model of work system 5-7 and patient safety. Patient safety researchers clearly recognize the need for human factors engineering and systems approaches to patient safety research, analysis, and improvement. However, noticeably missing from the patient safety literature are models to guide studies to empirically examine system design in relation to patient safety and medical errors. The model described by Reason, 8 often referred to as the ''Swiss cheese'' model, is probably the most well known system model used within the patient safety community. Vincent et al 9 have expanded Reason's model and described seven categories of factors that influence clinical practice, such as organizational and management factors, work environment, team factors, task factors and patient characteristics. The Haddon model, which is used commonly in epidemiology and injury prevention, has been proposed for use in quality and safety. A comparison of the strengths and weaknesses of the SEIPS model, the Reason/Vincent model, and Donabedian's quality model is shown in table 1. The SEIPS model explains how the design of the work system can impact not only the safety of patients but also employee and organizational outcomes. Employee outcomes include safety, health, satisfaction, stress and burnout; organizational outcomes include rates of turnover, injuries and illnesses, and organizational health (profitability).In this paper we describe the SEIPS model and its research and pra...