Abstract
The exponential growth of data coupled with a rapid increase of service demands in healthcare contexts requires a robust framework, which can support IT intelligent solutions as well as web-based service handling. We proffer the Intelligent Performance Management (IPM) framework as such an Internet based model that can enable greater access to clinical components by providing collaborative layers for service offerings on the web using Business Intelligence techniques. Thus, this chapter examines the technical and conceptual layers of the IPM framework and also defines some of the associated knowledge driven healthcare services by the IPM model in order to enhance healthcare performance management. To illustrate the benefits of the IPM framework to improve web-based performance management in healthcare contexts, we focus on chronic disease care in the case of improving a new wireless monitoring solution, an area, which requires high-quality performance management to facilitate development of appropriate remote care and management.
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References
Adler, P., et al. (2003). Performance improvement capability: Keys to accelerating performance improvement in hospitals. California Management Review, 45(2), 12–33.
Alonso, G., et al. (2003). Web services: Concepts, architectures, and applications. Heidelberg: Springer.
Baragoin, C., Andersen, C., Bayerl, S., Bent, G., Lee, J., & Schommer, C. (2001). Business intelligence architecture: Mining your own business in telecoms using DB2 intelligent miner for data (1st ed., Chapter 2, p. 17). California: IBM Corp.
Bhowmick, S. S., Madria, S. K., & Keong Ng, W. (2004). Web data management (ed.). New York: Springer.
Casati, F., et al. (2003). Business-oriented management of web services. Communications of the ACM, 46(10), 115–134.
Chalasani, S., Wickramasinghe, N., Goldberg, S., & Koritala, S. (2011). Business and IT aspects of wireless enabled healthcare solutions. AMCIS 2011 Proceedings—All Submissions. Paper 422. http://aisel.aisnet.org/amcis2011_submissions/422.
Cognos, I. (2008). Performance management in healthcare. White paper.
Eckerson, W. W. (2006). Deploying dashboards and scorecards. TDWI report. TDWI, 5.
Eckerson, W. W., & Howson, C. (2007). Enterprise BI: Strategies and technologies for deploying BI on an enterprise scale. Report Excerpt. http://www.tdan.com/view-articles/4739. Accessed 08 Feb 2011.
Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (2008). From data mining to knowledge discovery in databases. (pp. 12–17).
Gartner Study. (2006). Data Integration Identifies Key Usage Trends (pp. 3–6).
Gold, R., Stevenson, D., & Fryback, G. (2002). Halys and Aalys and Dalys, oh my: Similarities and differences in summary measures of population health. Annual Review of Public Health, 23, 115–134.
Holmes, J., et al. (2002). Clinical data mining: Who does it, and what do they do? AMIA, 9 (13), 32–53..
Howson, C. (2007). Success business intelligence (2nd ed.). New York: McGraw Hill.
Hurst, J., & Jee-Hughes, M. (2001). Performance measurement and performance management in OECD health systems. OECD Labour Market and Social Policy Occasional, 47.
Kalakota, R., & Robinson, M. (2001). e-business 2.0: Roadmap for success (2nd ed.). Boston: Wesley.
Marsden, G., Kelly, C., & Snell, C. (2006). Selecting indicators for strategic performance management transportation research record. Journal of the Transportation Research Board, 1956, 67–82..
Nutley, S., & Smith, P. C. (1998). League tables for performance improvement in health care. Journal of Health Services Research & Policy, 31(1), 50–57.
Pacifici, G., et al. (2003). Performance management for cluster based web services. Hawthorne: IBM TJ Watson Research Center.
Sanjay, S., & Wee, K. (2004). Web data management. New York: Springer.
Scheduling, A. E. J. (2010). A strategic pathway for improved data warehouse/business intelligence performance. Advanced System Concepts, Inc., http://whitepapers.technologyevaluation.com/view_document/21262/job-scheduling-a-strategicpathway-for-improved-data-warehousebusiness-intelligence-performance.html. Accessed Feb 2011.
Spil, T., Stegwee, R., & Teitink, C. (2002). Business intelligence in healthcare organizations. Proceedings of the 35th Hawaii International Conference on System Sciences. Hawaii: Computer Society.
TDWI. (2010). TDWI survey 2010. http://www.tdwi.org. Accessed 02 Feb 2011.
Vaughan-Nichols, S. (2001). Web services: Beyond the hype. IEEE Computer, 35, 18–21.
Vaughan-Nichols, S. (2002). Web services: Beyond the hype. IEEE Computer, 35, 18–21.
Wickramasinghe, N., & Goldberg, S. (2007). Adaptive mapping to realization methodology (AMR) to facilitate mobile initiatives in healthcare. International Journal of Mobile Communications, 5(3), 300–318.
Wickramasinghe, N., & S. Goldberg. (2009). The S’ANT approach to facilitate a superior chronic disease self-management model. IJANTTI, 1(4), 21–34.
Wickramasinghe, N., Bali, R. K., & Schaffer, J. L. (2008a). The healthcare intelligence continuum: Key model for enabling KM initiatives and realising the full potential of SMT in healthcare delivery. Biomedical Engineering and Technology, 1(4), 415–426.
Wickramasinghe, N., Geisler, E., & Schaffer, J. L. (2008b). Realising the value proposition for healthcare by incorporating KM strategies and data mining techniques with the use of information and communication technologies. International Journal of Healthcare Technology and Management, 7(3/4), 303–318.
Yin, R. K. (1994). Case study research: Design and methods (2nd ed.). Thousand Oaks: Sage.
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Moghimi, F., Goldberg, S., Wickramasinghe, N. (2013). Applying the IPM Framework to Improve Remote Performance Management in the Contexts of Chronic Disease Care. In: Bali, R., Troshani, I., Goldberg, S., Wickramasinghe, N. (eds) Pervasive Health Knowledge Management. Healthcare Delivery in the Information Age. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4514-2_17
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