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The BSc/MSc Medical Informatics courses KIK-Research program Academic Medical Centre University of Amsterdam

The BSc/MSc Medical Informatics courses KIK-Research program Academic Medical Centre University of Amsterdam. 10km. KIK. AMC in a nutshell. Beds: 1.050 Employees: 7.112 Outpatient: 348.859 visits Day-care: 28.599 visits Inpatient: 25.514 hospitalizations. MSc programs- AMC. Medicine

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The BSc/MSc Medical Informatics courses KIK-Research program Academic Medical Centre University of Amsterdam

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  1. The BSc/MSc Medical Informatics coursesKIK-Research program Academic Medical Centre University of Amsterdam ing E.P.A. van der Zwan

  2. ing E.P.A. van der Zwan

  3. ing E.P.A. van der Zwan

  4. 10km KIK ing E.P.A. van der Zwan

  5. AMC in a nutshell • Beds: 1.050 • Employees: 7.112 • Outpatient: 348.859 visits • Day-care: 28.599 visits • Inpatient: 25.514 hospitalizations ing E.P.A. van der Zwan

  6. MSc programs- AMC • Medicine • Biomedical Sciences • Evidence Based Practice • Social Psychiatry • Obstetrics • Medical Informatics (+bachelor) ing E.P.A. van der Zwan

  7. Timeline of the Amsterdam program 1984: 1 yr post-master course Intake: graduates medicine 1987: 3 yr master course intake: 2nd year medicalstudents 1994: 1st revision of 4 yr course Intake: high school students 1990: Full-fledged 4 yr course intake: high school students ing E.P.A. van der Zwan 1999: 2nd revision of 4 yr course intake: high school students Bologna declaration 2003: 3 yr BSc course Intake: high school students 2006: 2 yr MSc course Intake: BSc MI/I/M

  8. Principles BSc course • 3-years, 180 EC, Dutch • General program • 5 ‘M’ modules • 4 ‘I’ modules • 4 ‘MI’ modules • Specialized program: • Individual internships • BSc research and thesis • International SIM course ing E.P.A. van der Zwan

  9. Global Structure B.Sc. course 1st Year Fundamentals Mathematics/ Informatics/ Medicine 2nd Year ing E.P.A. van der Zwan Integration and Application 3rd year Specialization MI

  10. B. Sc. Medical Informatics ing E.P.A. van der Zwan

  11. M. Sc. course Medical Informatics Premaster program ing E.P.A. van der Zwan • Professionals: • Medicine • Health sciences • Computer science • … B. Sc. course: - Medical Informatics • B. Sc. course: • Medicine • Health sciences • Computer science • … Dutch / International students

  12. Premaster program • Diversity student profiles • Individualized premaster program- max. 30 EC • Remedy deficits per component: • Biomedicine • Informatics/Computer science • Medical Informatics • Intake January – September • Courseware at Blackboard environment ing E.P.A. van der Zwan

  13. Principles M. Sc. course • 2- years, 120 EC, English • 4- 20 weeks semesters • General part: 8 modules • Patient oriented MI issues • Health care organization MI issues • Individualized part: • 2 individual internships • 2 elective modules • Master research traineeship: 48 EC ing E.P.A. van der Zwan

  14. ing E.P.A. van der Zwan

  15. State of affairs ~ 355 Graduates ~ 65 Bachelor students ~ 40 Master students ~ 15 Premaster students Still unique in NL http://www.studeren.uva.nl/ma-medical-informatics/ ing E.P.A. van der Zwan

  16. Teaching Outreach Amsterdam/Maastricht Summer University Amsterdam International Medical Summer School (AIMSS) Health Informatics: The Role of Informatics in Health Care Offered from 2004 ing E.P.A. van der Zwan

  17. Department Medical Informatics • 44 KIKKERS: • 1 Professor (vacancy) • 3 Assoc. Professors • 8 Assistant Professors • 16 Support staff • 16 PhD students • (9 Co- Phd projects) ing E.P.A. van der Zwan

  18. Research theme- 1 Evaluation of Care and Epidemiology: • Kitty Jager, Nicolette de Keizer, Monique Jaspers • Etiological determinants of disease • Evaluation of Quality of Care • Clinical Performance Indicators ing E.P.A. van der Zwan

  19. Etiological determinants of disease • Body mass index and residual kidney function • Genetic variants in renal dysfunction • Evaluation of Quality of Care • Hospitals’ mortality / morbidity rates ICUs • (Online) information feedback from registries • Clinical Performance Indicators • Effect of local glucose control guidelines mortality/ morbidity rates ICUs ing E.P.A. van der Zwan

  20. Research theme -2 Development MI Methods: Ameen Abu-Hanna, Niels Peek • Representational/ computational methods • Prognostic modeling • Decision support tools ing E.P.A. van der Zwan

  21. Computational models • Classification Regression Trees algorithms • Patient Rule Induction Methods for ICU subgroup discovery • Prognostic modeling • Bayesian network for predicting organ failure, ICU mortality • Decision Support tools: • CARDDS: Decision making cardiac rehabilitation ing E.P.A. van der Zwan

  22. Research theme -3 • Evaluation of Information Systems: • Nicolette de Keizer, Niels Peek, Monique Jaspers • Terminology systems • User-Centred Design and Evaluation • Pre/Post- Implementation Evaluations ing E.P.A. van der Zwan

  23. Terminology systems • DICE terminology system for of ICU admission reasons • User-Centred Design/Evaluation • CPOE at 15 Dutch hospitals • Nationwide Patient Portal Cancer Survivors • (Pre/)Post- Implementation Evaluations • Socio-technological fit • CARDDS: Clinicians’ guideline adherence ing E.P.A. van der Zwan

  24. Contact: • http:// kik.amc.uva.nl • M.W.Jaspers@amc.uva.nl ing E.P.A. van der Zwan

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