Abstract
The paper introduces a formal definition of functional redundancy to determine non-redundant health information system architectures, in order to support information management of, in particular, hospital information systems. We specify an ontology, which is linked to the Three-Layer Graph-Based Meta Model (3LGM2) and based on enterprise functions and application systems of (health) information systems. A so called functional redundancy rate (FRR) is introduced and elucidated by an example. An algorithm for calculating non redundant health information system architectures is presented. Functional redundancy is a key performance indicator for the quality and efficiency of (health) information systems. With FRR it can now be formally described and quantitatively analyzed. Using 3LGM2 based models of information systems, the calculation of FRR does not need further efforts.
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References
Kuhn, K.A., Giuse, D.A., Lapao, L., Wurst, S.H.: Expanding the scope of health information systems - from hospitals to regional networks, to national infrastructures, and beyond. Methods Inf. Med. 46(4), 500–502 (2007)
Lorenzi, N.M., Riley, R.T.: Managing technological change: organizational aspects of health informatics. Springer, New York (2004)
Haux, R.: Individualization, globalization and health-about sustainable information technologies and the aim of medical informatics. Int. J. Med. Inform. 75, 795–808 (2006)
Ammenwerth, E., Aarts, J., Berghold, A., Beuscart-Zephir, M., Brender, J., Burkle, T., et al.: Declaration of Innsbruck. Results from the European Science Foundation Sponsored Workshop on Systematic Evaluation of Health Information Systems (HIS-EVAL). IMIA Yearbook of Medical Informatics 2006. Methods Inf. Med. 45(suppl. 1), 121–123 (2006)
Talmon, J.: Evaluation and implementation: A call for action. IMIA Yearbook of Medical Informatics 2006. Methods Inf. Med. 45(suppl. 1), 16–19 (2006)
Haux, R., Winter, A., Ammenwerth, E., Brigl, B.: Strategic Information Management in Hospitals. Springer, New York (2004)
Cimino, J.J., Zhu, X.: The Practical Impact of Ontologies on Biomedical Informatics. IMIA Yearbook of Medical Informatics 2006. Methods Inf. Med. 45(suppl. 1), 124–135 (2006)
Winter, A.F., Ammenwerth, E., Bott, O.J., Brigl, B., Buchauer, A., Gräber, S., Grant, A., Häber, A., Hasselbring, W., Haux, R., Heinrich, A., Janssen, H., Kock, I., Penger, O.-S., Prokosch, H.-U., Terstappen, A., Winter, A.: Strategic Information Management Plans: The Basis for systematic Information Management in Hospitals. International Journal of Medical Informatics 64(2-3), 99–109 (2001)
Winter, A., Brigl, B., Wendt, T.: Modeling Hospital Information Systems (Part 1): The Revised Three-Layer Graph-Based Meta Model 3LGM2. Methods Inf. Med. 42(5), 544–551 (2003)
Karp, R.M.: Reducibility Among Combinatorial Problems. In: Miller, R.E., Thatcher, J.W. (eds.) Complexity of Computer Computations, pp. 85–103. Plenum, New York (1972)
Hübner-Bloder, G., Ammenwerth, E., Brigl, B., Winter, A.: Specification of a reference model for the domain layer of a hospital information system. Stud. Health Technol. Inform. 116, 497–502 (2005)
Cormen, T.H., Leiserson, C., Rivest, R.L., Stein, C.: Introduction to Algorithms. MIT Press, Cambridge (2001)
Winter, A., Brigl, B., Funkat, G., Häber, A., Heller, O., Wendt, T.: 3LGM2-Modeling to Support Management of Health Information Systems. International Journal of Medical Informatics 76(2-3), 145–150 (2007)
van Bemmel, J.H. (ed.): Handbook of Medical Informatics. Springer, Heidelberg (1997)
Wendt, T., Häber, A., Brigl, B., Winter, A.: Modeling Hospital Information Systems (Part 2): Using the 3LGM2 Tool for Modeling Patient Record Management. Methods Inf. Med. 43(3), 256–267 (2004)
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Winter, A., Strübing, A., Ißler, L., Brigl, B., Haux, R. (2009). Ontology-Based Assessment of Functional Redundancy in Health Information Systems. In: Chaudron, M.R.V. (eds) Models in Software Engineering. MODELS 2008. Lecture Notes in Computer Science, vol 5421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01648-6_23
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DOI: https://doi.org/10.1007/978-3-642-01648-6_23
Publisher Name: Springer, Berlin, Heidelberg
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