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Revision with unchanged content. The benefits of information systems to enable improvement in core hospital processes have been researched extensively. Information systems alert users of potential medical errors, streamline processes, and support clinical decision-making. Although promising, the value of information systems to enable improved clinical quality and reduce costs has been mixed. Given the significant financial and social costs to implement clinical information sys tems, predicting their impact on performance outcomes is crucial. Unfortu na tely, predicting the impact of clinical…mehr

Produktbeschreibung
Revision with unchanged content. The benefits of information systems to enable improvement in core hospital processes have been researched extensively. Information systems alert users of potential medical errors, streamline processes, and support clinical decision-making. Although promising, the value of information systems to enable improved clinical quality and reduce costs has been mixed. Given the significant financial and social costs to implement clinical information sys tems, predicting their impact on performance outcomes is crucial. Unfortu na tely, predicting the impact of clinical information systems is difficult because hospitals are considered complex systems . A complex system is characterized by nonlinear interactive components, emergent phenomena, continuous and discontinuous change, and unpredictable outcomes. This book utilizes a novel approach to computational modeling by simulating the impact of best practices guidelines on performance metrics. The results provide a robust and low cost method for predicting what conditions need to exist for a successful implementation. This book is directed towards healthcare administrators, informaticists, nurses, physicans and other medical professionals.
Autorenporträt
Clancy, M.B.A., Ph.D., R.N.,Clinical Professor, University of Minnesota, School of Nursing and Vice-President, Professional Services, Mercy Hospital, Iowa City, Iowa.Field of Study; Nursing Informatics.