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Business Intelligence and H Healthcare lth MHPW 2010, 15-16 February Eindhoven, the Netherlands Information Systems Group Uzay Kaymak Overview Goal: discuss role of business intelligence (BI) in the healthcare in relation to information


  1. Business Intelligence and H Healthcare lth MHPW 2010, 15-16 February Eindhoven, the Netherlands Information Systems Group Uzay Kaymak

  2. Overview Goal: discuss role of business intelligence (BI) in the healthcare in relation to information systems y Outline Outline • Affordability of healthcare • Business intelligence B i i t lli • BI in the healthcare • Role of BI in the healthcare • Possible directions for research Possible directions for research • Conclusions

  3. Source: CBS Dutch Health Expenditure

  4. Growth of Dutch Health Expenditure Source: World Health Organization

  5. Growth of Elderly Population Source: World Health Organization

  6. Business Intelligence From data to information to knowledge • Definition: Business intelligence is composed of methods that Business intelligence is composed of methods that enhance efficiency and facilitate decision making by integrating information and processes with the use integrating information and processes with the use of tools that transform data into useful and actionable information. actionable information.

  7. Many Success Stories • Real-time business intelligence solution at Continental Airlines (CA): CA uses business intelligence to gather ( ) g g and store data from the flight manifest, customer information, reservation data, departure times, gate p g locations and real-time flight data in a data warehouse. Continental’s analytical toolset combines the data, determines which passengers will miss a connecting flight and combines this information with customer data to determine whether special arrangements have to be made to best help these customers. (Wixom, 2008).

  8. Business Intelligence Systems Reporting and Reporting and visualization Analytics Data integration Azvine et al . (2005)

  9. Analytics Capability What’s the best that can happen? What will happen next? What if these trends continue? What if these trends continue? Why is this happening? What actions are needed? Where exactly is the problem? How many, how often, where? What happened? Source: SAS

  10. Crisp-DM Data Mining Framework

  11. • Definition of KPI’s • Summarization • Visualization • Dashboards • Monitoring Reporting

  12. Mettler & Vimarlund (2008) BI Framework for Healthcare

  13. Benefits of BI in Healthcare Information Information • Reduction in time and effort • Reduction in time and effort spent on KPI tracking • Reduced amount of referrals • Time savings from integration of g g • Improvement in documentation Improvement in documentation processes and archive quality and usability • Executive dashboard (monitoring ( g of operational performance) Costs • Possibility of data analysis to • Implementation of dashboards id identify and predict trends tif d di t t d which display productivity and hi h di l d ti it d quality metrics • Improved decision making for • Improved decision making for Effi i Efficiency achieving strategic objectives • Improved scheduling and responsiveness responsiveness • Decreased no show rate

  14. Examples • Awareness (definition of KPI’s) (definition of KPI s) • Benchmarking • Benchmarking • Advanced planning • Advanced planning and scheduling

  15. Business Drivers for BI in Healthcare

  16. Does IT Really Reduce Costs? • Thomas et al . (2009) • Telemedicine for ICU patients does not reduce mortality Telemedicine for ICU patients does not reduce mortality or costs • Himmelstein et al . (2010) Computerization quantified by number of Computerization quantified by number of applications • No evidence of savings on clinical or administrative No evidence of savings on clinical or administrative costs • Some evidence of slight improvement in quality of care Some evidence of slight improvement in quality of care

  17. Role of BI Ad-hoc medicine Process Medicine • Clinical decisions Clinical decisions • Patient pathways Patient pathways • Specialists • Also practitioners • Variable/flexible • Repeated/structured • Problem-solving Problem sol ing • Value addition Val e addition • DSS, expert systems p y • WfMS, PAIS • Exploration • Optimization Business Intelligence Systems BioMedical Technology

  18. Favorable Evidence for IT • Garg et al . (2005) • Clinical DSS improve practitioner performance Clinical DSS improve practitioner performance • Deveraj & Kohli (2000) • Deveraj & Kohli (2000) • Business process reengineering needed to reduce costs improve quality and increase patient satisfaction costs, improve quality and increase patient satisfaction • Amarasingham et al . (2009) Amarasingham et al (2009) • Computerized patient records improve profitability potential and quality potential and quality

  19. 21 Digitize Your Data!

  20. Business Process Redesign

  21. Workflow Management Benefits 0 08 0.08 0.07 0.06 0.05 0.04 0.03 Without workflow 0.02 With workflow 0.01 0

  22. Concept maps • Maps that show related terms in a knowledge field • Concepts that appear in the same document are Concepts that appear in the same document are assumed to be (semantically) related • Co-occurrence as association measure: • Co-occurrence as association measure: c = ij j a a N N ⋅ ij c c ii jj • Using the association measure, concepts can be visualized in a 2-d space, such that the closer two terms, the more related they are

  23. Case Study: corpus selection • Abstracts of scientific papers indexed by ISI Web of Science • Search query: (“information system” OR “information systems” OR “information management” OR “information g technology” OR “information technologies” OR “e- health” OR telemedicine OR “ICT”) AND (“health ) ( care” OR healthcare)

  24. Concept Map View

  25. Concept Density View

  26. Cluster Density View

  27. Detail View Information Systems

  28. IS Concepts

  29. Conclusions • Healthcare industry is going through a large transformation due to extensive use of IT (comparable to the introduction of ERP in production industry a couple of decades ago) y p g ) • Business intelligence is a key technology to extend Business intelligence is a key technology to extend the reach of process medicine • Research should investigate integration of BI systems and PAIS systems and PAIS

  30. Acknowledgements • Arno van den Berg • Nees Jan van Eck • Geert Dela Haije • Ludo Waltman

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