Demand-driven Evolution of IT Systems in Healthcare

OBJECTIVES To analyze and to optimize interdisciplinary clinical processes, to introduce an IT-supported model for demand-driven system evolution in healthcare, and to demonstrate the feasibility of the approach for a clinical example and to present an evaluation. METHODS System evolution and change management are viewed as two sides of the same coin, thus formal methods for process analysis and IT system evolution were embedded into a goal-oriented change management model. Based on a process model, a Failure Mode and Effects Analysis (FMEA) and a computer simulation were performed. A tool for rapid application development (RAD) was used to incrementally improve the healthcare information system according to newly arising needs. RESULTS Each of the formal methods used contributed to the successful reorganization of the interdisciplinary clinical process. An evaluation demonstrated significant improvements. An integrated IT application was implemented to support the optimized process. CONCLUSIONS Process improvement is feasible and effective when formal methods for process analysis and requirements specification are used in a reasonable and goal-oriented way. It might be necessary to trade off costs and benefits or simplify a given method in the context of a particular project. As the same information is utilized in different tools, it is supposed that the efforts for process analysis, documentation and implementation of adapted applications could be reduced if different tools were integrated and based on a single coherent reference model for description of clinical processes.

[1]  Nancy M. Lorenzi,et al.  Organizational ISSUES=change , 2003, Int. J. Medical Informatics.

[2]  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..

[3]  Sally Redfern,et al.  Achieving change in health care practice. , 2003, Journal of evaluation in clinical practice.

[4]  Toomas Timpka,et al.  Research Paper: Participatory Design of Information Systems in Health Care , 1998, J. Am. Medical Informatics Assoc..

[5]  Marilynn G Bozak Using Lewin’s Force Field Analysis in Implementing a Nursing Information System , 2003, Computers, informatics, nursing : CIN.

[6]  K. Lewin Field theory in social science , 1951 .

[7]  Howard Smith,et al.  Business Process Management: The Third Wave , 2003 .

[8]  J. Burgmeier,et al.  Failure mode and effect analysis: an application in reducing risk in blood transfusion. , 2002, The Joint Commission journal on quality improvement.

[9]  Joan S. Ash,et al.  Implementing computerized physician order entry: the importance of special people , 2003, Int. J. Medical Informatics.

[10]  Pieter J. Toussaint,et al.  Use cases and DEMO: aligning functional features of ICT-infrastructure to business processes , 2002, Int. J. Medical Informatics.

[11]  Dexter Dunphy,et al.  Organizational Change in Corporate Settings , 1996 .

[12]  Ralph Johnson,et al.  Domain-specific application frameworks: framework experience by industry , 1999 .

[13]  Douglas C. Schmidt,et al.  Building application frameworks: object-oriented foundations of framework design , 1999 .

[14]  A. Scheer Business Process Engineering: Reference Models for Industrial Enterprises , 1994 .

[15]  Jean Sandra Baulcomb Management of change through force field analysis. , 2003, Journal of nursing management.

[16]  Nancy M. Lorenzi,et al.  Review: Antecedents of the People and Organizational Aspects of Medical Informatics: Review of the Literature , 1997, J. Am. Medical Informatics Assoc..

[17]  L. Locock,et al.  Healthcare redesign: meaning, origins and application , 2003, Quality & safety in health care.

[18]  Patrice L Spath,et al.  Using failure mode and effects analysis to improve patient safety. , 2003, AORN journal.

[19]  Klaus A. Kuhn,et al.  A Strategic Approach for Business-IT Alignment in Health Information Systems , 2003, OTM.

[20]  L Narine,et al.  Gaining and maintaining commitment to large-scale change in healthcare organizations , 2003, Health services management research.

[21]  Marc Berg,et al.  The mantra of modeling and the forgotten powers of paper: a sociotechnical view on the development of process-oriented ICT in health care , 2003, Int. J. Medical Informatics.

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

[23]  Richard Baskerville,et al.  Growing systems in emergent organizations , 1999, CACM.

[24]  K. Weick,et al.  Organizational change and development. , 1999, Annual review of psychology.

[25]  P. Strassmann Information Payoff: The Transformation of Work in the Electronic Age , 1985 .

[26]  Nandish V. Patel Adaptive Evolutionary Information Systems , 2002 .

[27]  Ivar Jacobson,et al.  The Unified Modeling Language User Guide , 1998, J. Database Manag..

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