Key Issues for Successful E-Health Solutions

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1 Key Issues for Successful E-Health Solutions Prof. Nilmini Wickramasinghe, PhD MBA Epworth Chair Health Information Management RMIT University, School of Business IT and Logistics

2 Agenda The healthcare challenge Why e-health How to design, develop and implement successful solutions Summary 2

3 The Challenge 17 % GDP OECD Australia France Germany Italy Netherlands Norway United Kingdom United States Adapted from OECD 2010a,b and Huber

4 The Challenge cont. Demographics Everyone is getting older and living to tell about it Public Health Increase in chronic diseases Focus on prevention Technology Keeping everyone younger and in good health Finance Escalating costs to treat everyone with latest technologies Achieving effectiveness, efficiency and quality Best practices in clinical, operational and administrative functions 4

5 Healthcare Solutions Key solutions from healthcare must address: Access Caring for anyone, anytime, anywhere Prevention and cure Quality World class care Integrated information Value Effectiveness Efficiency 5

6 Why e-health IS/IT in healthcare Various technology solutions for healthcare contexts e-health Most countries focussing on design and development of e-health solutions Pervasive e-health (mhealth) Driven by smart phone development with unlimited possibilities Technology is great at processing large amounts of data and information, supporting monitoring, and management activities as well as providing decision support

7 How to Design, Develop and Implement Successful Solutions? Examine people, process, technology issues Embrace tools, techniques, technologies and tactics of KM 7

8 Web of players Payer Healthcare organisation Patient s Regulator Clinicians 8

9 Healthcare Delivery Mostly Private Healthcare Systems (e.g. U.S.) Two-Tier Healthcare Systems The Australian The German Healthcare Healthcare System System Mostly Public Healthcare Systems (e.g. U.K.) Source: The healthcare system continuum (adapted from Zwicker et al. 2012a) 4

10 Orthopaedic Continuum of Care Processes Marketing Clinical Co Morbidity Revenue Maximize Maximize Efforts Evaluation Detection Event Recovery Function Awareness Programs Outpatient Clinic Preop Evaluation Day of Surgery Post Op Inpatient Post Op Rehab Knee and Hip Arthroplasty Knowledge from each step Best practices discovery Implementation Optimization to minimize variances, maximize output by surgeon Involve, align and empower employees Continuously improve in pursuit of perfection Adapted from Schaffer and Wickramasinghe, 2012

11 Definition: Knowledge Management (KM) Systematic approach using appropriate p tools, techniques and strategies to manage organizational knowledge for creating value and generating a sustainable competitive advantage Solve current challenges Increase efficiency and efficacy of core processes Mitigate future problems Facilitate continuous innovation Adapted from Schaffer and Wickramasinghe, 2012

12 KM for healthcare Adapted from Bali and Wickramasinghe,

13 Intelligence Continuum People Health Care Event / Process Data ( ) n Information System Computer Technology Data Mart / Warehouse?? Knowledge Data Mining Management Business Intelligence/Analytics Data Mining Source: Schaffer and Wickramasinghe, 2006 Intelligence Continuum

14 Intelligence Continuum People Health Care Event / Process Data ( ) n Information System Computer Technology Data Mart / Warehouse?? Knowledge Data Mining Management Business Intelligence/Analytics Data Mining Source: Schaffer and Wickramasinghe, 2006

15 Boyd s OODA Loop Thinking Observe Orient Decide Act Unfolding Circumstances Implicit Guidance & Control Cultural Traditions Implicit Guidance & Control Outside Information Genetic Heritage Analyses & Feed Observations Synthesis Feed Decision Feed Action Forward Forward Forward Unfolding Interaction With Environment New Information Feedback Previous Experience Feedback (Hypothesis) (Test) Unfolding Interaction ti With Environment Defense and the National Interest,

16 Thinking About How It Really Works Doctors don t see activities as a process Provision of healthcare is a process, a sequence of activities Map out the process Collect the data Analyze the data Lookfor patterns Adapted from Schaffer and Wickramasinghe, 2012

17 Impact of the Intelligence Continuum Current State People Future State Process Technology Data Diagnostic Evaluation Prescriptive Evaluation Adapted from Schaffer and Wickramasinghe, 2012

18 Summary Healthcare Information Technology Can help make processes run better Can help distribute knowledge to help people function smartly Can help actualize knowledge from data Data structure needed to Know what to improve Know how to improve Know that the improvements are in fact improvements Challenge implementing e-health solutions Challenge implementing e health solutions Identifying the data elements Collecting the data Provide the tools, technology, techniques and systems to improve our diagnostic and prescriptive capabilities for treating processes which in turn serve to treat the patients

19 Summary In order to have successful solutions need to focus on: Macro, Messo, Micro People, Process, Technology KM Dynamic 19

20 Thank you Questions? very much for your attention! 20

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