Enterprise Systems in Healthcare - Blessing or Curse?

Transcription

1 Enterprise Systems in Healthcare - Blessing or Curse?

2 Research topics that interest me... Three agendas: n Evolution and assessment of information systems Evolution of information systems Business value / assessment of IT-benefits Design science research n Business networking and strategic use of information systems in healthcare Strategic use and transnational adoption of ehealth Identification in health networks Customer-buyer relationship of healthcare organizations (pharmaceuticals, government etc.) n Enterprise systems and information analytics Use of business intelligence in the context of healthcare E-commerce in healthcare Internet of services / future internet enterprise systems Slide 2

3 What I will talk about... Agenda for today: 1 n Introduction to Enterprise Systems The old world of Enterprise Systems The new world of Internet Enterprise Systems Implications for practice n 2 Convergence of Health Information Systems and Enterprise Systems Key drivers for change in the healthcare sector Internet Enterprise Systems as enablers for a better living and future care n 3 Future directions Research areas supporting this vision Practical examples Conclusions Slide 3

4 The old world: Functional boundaries and on-premise Enterprise Systems Managers Products/ Services Suppliers Customers Business value through workflow automation and integrated data Focus on functionality of key business functions; mainly intraorganizational Relational databases as core technology Point-to-point interfaces with other enterprise systems Software delivery on-premise or application service providers (ASP) Grey user interfaces Employees 1 Slide 4

5 The new world: Technological advancements of the next 10 years 1 Source: D. Ganly, et al., Hype Cycle for ERP, Gartner, Slide 5

6 The new world: Towards Internet Enterprise Systems Service description & messaging Web 2.0 Service composition & orchestration Social Frameworks Internet Enterprise Systems Semantic Mobile Cloud Computing Embedded Systems Distributed Computing Physical Business value through user generated content and semantically annotated data Focus on social networking interactivity and integration of the physical into the digital world Enriched Web based services as core technology Software delivery on-demand (SaaS) provided on cloud platforms (PaaS) User experience design for graphical interfaces 1 Adapted from: L. Kirchoff, Internet of Services Technology Map, Slide 6

7 The new world: Blessing or curse? The Internet becomes the platform through which knowledge is manipulated dynamically and represented in a radically different way to create new value Internet Enterprise Systems blur the boundaries between intra and extra-organizational business units; cooperation becomes rooted in the essence of entrepreneurship But... Danger of widening divide between digital world and real business world Increasing demand for more bandwidth, security, privacy, knowledge, and user empowerment Technical interoperability is still a big issue; what about cultural interoperability? 1 Adapted from: C. Martinez, Future Internet Enterprise Systems: A Vision from Research, European Commission, Slide 7

8 Internet Enterprise Systems, so what? Healthcare faces other challenges Competition from other industries for best talents Higher demand based on e.g. aging population Skills shortage Medical errors Drug adverse effects Patient Privacy needs rises Medical KPI S become revenue drivers Demanding customers and patients Primary Care Pharmacies Secondary Care Home Care/ Assisted Living Patient Safety & Quality of Care 2 Place of care moving to home Focus on chronic disease Informed patients Costs continue to rise Aging population Cost of development of a drug rise 6-8% per year Cost of technology rise up to 60% Slide 8

9 Vision: Internet Enterprise Systems as enabler for a better living and future care Trends/ Drivers Staff Shortage Demanding customers and patients Costs continue to rise Patient Safety & Quality of Care Challenges Interoperability Digital divide Research & Medical Technology Learning Provider Personal Health & Independent Living Future Care Sensor-Based Monitoring Insurance Industry Primary Care Treatment Planning Service Industry Health Plan Provider Secondaty Care Patient & Material Tracking Security & privacy Knowledge & empowerment Supporting Home Care/ home infrastructure Assisted Living Integration of home residence to medical and nursing Pharma Industry Retail Industry Video communication and collaboration Telcos Pharmacies E-Health & Clinical Systems Government 2 Enablers Internet of Services Internet of Things Internet of Networks Internet of 3D Worlds Slide 9

10 Research areas supporting the vision: Personal Health & Independent Living Home care and chronic diseases Personal guidance systems for people with impairments ubiquitious computing in healthcare smart devices for people with impairments smart devices for long-term care intelligent homes social robotics Personal Health & Independent Living Patient safety and quality improvement of medical treatments e-prescription biosignal processing tele-monitoring Consumer health informatics personal health records health information portals insurance protection & administrative assistance ICT for smart and personalized inclusion social computing for people with impairments Home Care/ Assisted Living brain-neural computer interfaces Interoperability of consumer and clinical systems interoperability with care systems re-use of personal health information security issues in health networks 3 Slide 10

11 Research areas supporting the vision: E-Health and Clinical Health Systems Patient-centered Systems Medical knowledge & decision-support systems virtual physiological human advances in image & text processing modeling and clinical pathways electronic medical records tele-medicine E-Health & Clinical Systems tele-diagnostics Secondary Care Primary Care Clinical Support Systems patient referral systems supply chain management & logistics in healthcare Bioinformatics coding & classifications clinical trial systems biostatistics & analytics ICT for public health national health infostructures Pharmacies ICT for epidemiology Interoperability of medical and administrative systems interoperability of different clinical and enterprise systems re-use of electronic medical records and ERP 3 Slide 11

12 Research areas supporting the vision: General topics Value of IT in healthcare business models & cases assessment methods economic aspects Security issues in health networks privacy entrepreneurship legal aspects Human-computer interaction in healthcare requirements engineering Research & Medical Technology Pharma Industry usability studies General topics Personal Health & Independent Living Supporting Home Care/ home infrastructure Assisted Living Integration of home residence to medical and nursing Learning Provider Future Care Retail Industry Sensor-Based Monitoring Video communication and collaboration Insurance Industry Primary Care Telcos Treatment Planning Service Industry Pharmacies Health Plan Provider Secondaty Care Patient & Material Tracking E-Health & Clinical Systems Government Social implications ethical aspects cultural aspects digital divide between regions and ages Standardization and conformity internationalization secure data exchange Education, training and dissemination health services research guidelines e-health standards e-learning organization of medical and organizational knowledge base 3 Slide 12

13 Example (1): Business Intelligence in Healthcare Medical Processes Business Processes Support Processes Actors Diagnostic and Therapy Financial Accounting Human Resources External Nursing care Monitoring and Controlling Logistics and Supply Patient Research and Teaching Organizational Development Communication Government Insurance Company Compliance and Risk Management Other care institutions Information Patients Medicine Financials Employee Internal Technologies Wards Reporting Expert System OLAP Data Mining Doctor Controller Data Warehouse External Data HR-Officer Clinical Operational Data Sources Administrative Operational Data Sources 3 EMR PACS ERP HR Source: T. Mettler & V. Vimarlund, Understanding Business Intelligence in the context of Healthcare, Health Informatics Journal, 15(3): , Slide 13

14 Example (2): Intelligent Supply Chains in Healthcare Communication Purchasing process Demand for medical supply Purchase Performance of supplier/ Own performance Consumption Supplier Hospital Incentive Measures & actions Performance evaluation Supplier evaluation Coordination Network capacity Performance criteria Transparency 3 Adapted from: T. Mettler et al., Testing the assumptions of an intelligent supply chain design, to be published, Slide 14

15 Enterprise Systems in Healthcare (1): Blessing or Curse? 3 Slide 15

16 Enterprise Systems in Healthcare (2): Blessing or Curse? 3 Slide 16

17 Thank you! any questions?