Many stakeholders agree that the current model of U.S. health care competition is not working. Costs continue to rise at double-digit rates, and quality is far from optimal. One proposal for fixing health care markets is to eliminate provider networks and encourage informed, financially responsible consumers to choose the best provider for each condition. We argue that this "solution" will lead our health care markets toward even greater fragmentation and lack of coordination in the delivery system. Instead, we need markets that encourage integrated delivery systems, with incentives for teams of professionals to provide coordinated, efficient, evidence-based care, supported by state-of-the-art information technology.

Information technology can support the implementation of clinical research findings in practice settings. Technology can address the quality gap in health care by providing automated decision support to clinicians that integrates guideline knowledge with electronic patient data to present real-time, patient-specific recommendations. However, technical success in implementing decision support systems may not translate directly into system use by clinicians. Successful technology integration into clinical work settings requires explicit attention to the organizational context. We describe the application of a "sociotechnical" approach to integration of ATHENA DSS, a decision support system for the treatment of hypertension, into geographically dispersed primary care clinics. We applied an iterative technical design in response to organizational input and obtained ongoing endorsements of the project by the organization's administrative and clinical leadership. Conscious attention to organizational context at the time of development, deployment, and maintenance of the system was associated with extensive clinician use of the system.

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This material was originally published in the Journal of the American Medical Informatics Association (Volume 11; 368-376). This material may be read on-line or downloaded for personal use only. The material may be referenced by appropriate hyperlinks. However, the text of the material may not be altered without the express permission of the author and AMIA. Care should be taken when excerpting or referencing text to ensure that the views, opinions, and arguments of the author presented in the excerpt accurately reflect those contained in the original work.

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The Institute of Medicine recently issued a landmark report on medical error. In light of this report, every aspect of health care is subject to new scrutiny regarding patient safety. Informatics technology can support patient safety by correcting problems inherent in older technology; however, new information technology can also contribute to new sources of error. We report here a categorization of possible errors that may arise in deploying a system designed to give guideline-based advice on prescribing drugs, an approach to anticipating these errors in an automated guideline system, and design features to minimize errors and thereby maximize patient safety. Our guideline implementation system, based on the EON architecture, provides a framework for a knowledge base that is sufficiently comprehensive to incorporate safety information, and that is easily reviewed and updated by clinician-experts.

Also published in the Proceedings of the American Medical Informatics Association's 2001 Symposium.