1. 7/14/2015 ing E.P.A. van der Zwan 1 The BSc/MSc Medical Informatics courses KIK-Research program Academic Medical Centre University of Amsterdam

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4. 7/14/2015 ing E.P.A. van der Zwan 4 KIK 10km

5. 7/14/2015 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

6. 7/14/2015 ing E.P.A. van der Zwan 6 MSc programs- AMC Medicine Biomedical Sciences Evidence Based Practice Social Psychiatry Obstetrics Medical Informatics (+bachelor)Medical Informatics (+bachelor)

7. 7/14/2015 ing E.P.A. van der Zwan 7 Timeline of the Amsterdam program 1984: 1 yr post-master course Intake: graduates medicine 1990: Full-fledged 4 yr course intake: high school students 1987: 3 yr master course intake: 2nd year medical students 1994: 1st revision of 4 yr course Intake: high school students 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. 7/14/2015 ing E.P.A. van der Zwan 8 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 Principles BSc course

9. 7/14/2015 ing E.P.A. van der Zwan 9 Global Structure B.Sc. course Fundamentals Mathematics/ Informatics/ Medicine Integration and Application 2 nd Year Specialization MI 3 rd year 1 st Year

10. 7/14/2015 ing E.P.A. van der Zwan 10 B. Sc. Medical Informatics

11. 7/14/2015 ing E.P.A. van der Zwan 11 M. Sc. course Medical Informatics Premaster program B. Sc. course: - Medical Informatics Dutch / International students B. Sc. course: - Medicine - Health sciences - Computer science -… Professionals: - Medicine - Health sciences - Computer science -…

12. 7/14/2015 ing E.P.A. van der Zwan 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

13. 7/14/2015 ing E.P.A. van der Zwan 13 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 Principles M. Sc. course

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15. 7/14/2015 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/

16. 7/14/2015 ing E.P.A. van der Zwan 16 Teaching Outreach Teaching Outreach Amsterdam/Maastricht Summer University Amsterdam International Medical Summer School (AIMSS) Health Informatics: The Role of Informatics in Health Care Offered from 2004

17. 7/14/2015 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)

18. 7/14/2015 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

19. 7/14/2015 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

20. 7/14/2015 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

21. 7/14/2015 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

22. 7/14/2015 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

23. 7/14/2015 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

24. 7/14/2015 ing E.P.A. van der Zwan 24 Contact: http:// kik.amc.uva.nl M.W.Jaspers@amc.uva.nl