Improving pathway compliance and clinician performance by using information technology.

To deliver patient-specific advice at the time and place of a consultation is an important contribution to improving clinician performance. Using computer-based decision support on the basis of clinical pathways is a promising strategy to achieve this goal. Thereby integration of IT applications into the clinical workflow is a core precondition for success. User acceptance and usability play a critical role: additional effort has to be balanced with enough benefit for the users and interaction design and evaluation should be handled as an intertwined, continuous process. Experiences from routine use of an online surgical pathway at Marburg University Medical Center show that it is possible to successfully address this issue by seamlessly integrating patient-specific pathway recommendations with documentation tasks which have to be done anyway, by substantially reusing entered data to accelerate routine tasks (e.g. by automatically generating orders and reports), and by continuously and systematically monitoring pathway conformance and documentation quality.

[1]  Rita D. Zielstorff,et al.  Review: Online Practice Guidelines: Issues, Obstacles, and Future Prospects , 1998, J. Am. Medical Informatics Assoc..

[2]  Klaus A. Kuhn,et al.  Potential prevention of medical errors in casualty surgery by using information technology , 2004, SAC '04.

[3]  R. Zielstorff Online practice guidelines: issues, obstacles, and future prospects. , 1998, Journal of the American Medical Informatics Association : JAMIA.

[4]  T. Brennan,et al.  Incidence and types of adverse events and negligent care in Utah and Colorado. , 2000, Medical care.

[5]  K A Kuhn,et al.  Experiences with a Generator Tool for Building Clinical Application Modules , 2003, Methods of Information in Medicine.

[6]  Manfred Reichert,et al.  IT Support for Healthcare Processes , 2005, Business Process Management.

[7]  Elson Rb,et al.  Computerized decision support systems in primary care. , 1995 .

[8]  Richard N. Shiffman,et al.  Review: Computer-based Guideline Implementation Systems: A Systematic Review of Functionality and Effectiveness , 1999, J. Am. Medical Informatics Assoc..

[9]  R. Haynes,et al.  Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research , 1994, Annals of Internal Medicine.

[10]  Klaus A. Kuhn,et al.  Application of Information Technology: A Practical Approach to Process Support in Health Information Systems , 2002, J. Am. Medical Informatics Assoc..

[11]  James G. Anderson,et al.  Clearing the way for physicians' use of clinical information systems , 1997, CACM.

[12]  J. Grimshaw,et al.  Effect of clinical guidelines on medical practice: a systematic review of rigorous evaluations , 1993, The Lancet.

[13]  K A Kuhn,et al.  Demand-driven Evolution of IT Systems in Healthcare , 2005, Methods of Information in Medicine.

[14]  E. Ackermann The Quality in Australian Health Care Study. , 1996, The Medical journal of Australia.

[15]  Richard N. Shiffman,et al.  Model Formulation: Bridging the Guideline Implementation Gap: A Systematic, Document-Centered Approach to Guideline Implementation , 2004, J. Am. Medical Informatics Assoc..

[16]  T. Brennan,et al.  The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. , 1991, The New England journal of medicine.

[17]  Jonathan M. Teich,et al.  Application of Information Technology: Automating Complex Guidelines for Chronic Disease: Lessons Learned , 2003, J. Am. Medical Informatics Assoc..

[18]  Aniruddha M. Deshpande,et al.  Standardized Reporting of Clinical Practice Guidelines: A Proposal from the Conference on Guideline Standardization , 2003, Annals of Internal Medicine.

[19]  S Kay Usability: A critical success factor for managing change in the clinical infostructure , 2005, Medical informatics and the Internet in medicine.

[20]  Klaus A. Kuhn,et al.  Towards a continuous evolution and adaptation of information systems in healthcare , 2004, Int. J. Medical Informatics.