Student Elective Medicine Minimize

STUDENT ELECTIVES

MED 546-H   MEDICAL INFORMATICS


Pre-requisite:                            Credit in Medicine 531/532

Duration:                                  4 weeks, available all blocks

Number of Students:                 Minimum 1; Maximum 2

Location(s):                              Queen’s Medical Center – Joshua Jacobs, M.D., Sean Thomas, M.D.

Program Coordinator –             Laurie Tam, M.D.

 

1.     Objectives

Provide survey of topics in medical informatics with exposure to research in medical informatics.

2.     Methods

Combined lecture and lab survey course of principles and practice of medical informatics.  Includes applied research and clinical applications.

 

Non-patient based learning of approximately 40 hours/week

 

Provides focus on subspecialty not explicitly addressed in the curriculum.  Blends didactic learning with experimental learning through research.

 

Rationale/Justification:  Due to the expanding use of technology in medicine, it is imperative that future physicians are comfortable with the application of technology in healthcare delivery and research.  Currently, there is no formal medical informatics component in the MD Program.  This course offering fills that gap.

 

Objectives:

·              Survey course of medical informatics

Strengthen trainee computer skills, hands-on projects and didactic reading of many aspects of medical informatics, as outlined in the AAMC MSOP 6/98 “Report II: Contemporary issues in medicine: Medical informatics and population health”[1], and in “Recommendations of the International Medical Informatics Association (IMIA) on Education in Health and Medical Informatics”[2]

·          Introduce medical informatics research

o                                Hypothesis generation

o                                Literature searches, citation management

o                                Protocol development

o                                IRB process overview

o                                Database design and use

o                                Data-mining

o                                Manuscript write-up

 

Sample of typical day:  One topic with readings and ppt per day (1/2 day) discussed with course director, concurrent with research project (1/2 day).  Research opportunities will include:

o        Development of research question, hypothesis generation, literature review, study design, and executions (as time allows)

o        Participation in ongoing medical informatics research, as offered by members of the department and division

 

Evaluation:  At start of course, outline specific goals and objective of each student, including options for participation in research.  Mid-unit evaluation (oral feedback) on progress.  Final presentation (to division, 30 minutes) and end-of-course survey for course evaluation.

 

Topics covered:

  1. What is Medical Informatics?
  2. Consumer Informatics
  3. Educational Informatics
  4. Public Health Informatics
  5. Controlled Vocabularies
  6. Database design
  7. Web design
  8. Web interfaces to databases
  9. Bioinformatics
  10. Evaluation
  11. Visible Human
  12. Telemedicine
  13. Handheld technology
  14. Decision support
  15. CPOE
  16. Clinical Information Systems

 

Due to the rapid progression in the field of medical informatics, a set reading list is not desirable.  A sample reading list follows:

Greenes RA, Shortliffe EH. 1990. Medical Informatics. An Emerging Academic Discipline and Institutional Priority. JAMA : Journal of the American Medical Association. 262(8):1114-20

 

Lindberg DAB. 2000. Biomedical Electronics Update. Proceedings of the IEEE. 88(4):590-92

 

Lindberg DAB, Humphreys BL, McCray AT. 1993. The Unified Medical Language System. Methods in Informatics and Medicine. 32:281-291.

 

Lindberg, DAB. 2003. Biomedical informatics: precious scientific resource and public policy dilemma. Transactions of the American Clinical and Climatological Association. May. 114. 113-121

 

Lindberg, DAB. 2002. Medicine in the 21st century: global problems, global solutions. Methods Inf Medicine. 3. 235-236.

 

Cimino, JJ. 1996. Review paper: coding systems in health care. Methods of Information in Medicine. 35 (4-5) 273-84

 

Cimino, JJ. 2000. From data to knowledge through concept-oriented terminologies: experience with the medical entities dictionary. Journal of the American Medical Informatics Association 7:288-297.

 

Bakken, S. 2001. An informatics infrastructure is essential for evidence-based practice. J Am Med Inform Assoc. 8 199-201

 

Detsky, AS; Naglie, G; Krahn, S; Naimark, D; Redelmeier, DA. 1997. Primer on medical decision analysis: part I -- getting started. Medical Decision Making. 123-125

 

Detsky, AS; Naglie, G; Krahn, S; Naimark, D; Redelmeier, DA. 1997. Primer on medical decision analysis: part II -- building a tree. Medical Decision Making. 126-135.

 

Detsky, AS; Naglie, G; Krahn, S; Naimark, D; Redelmeier, DA. 1997. Primer on medical decision analysis: part III -- estimating probabilities and utilities. Medical Decision Making. 136-141. Generic design of web-based clinical databases. 2003. J Med Internet Res. Nov 04. 5 (4) e27

Johnson, SB. Generic data modeling for clinical repositories. J Am Med Inform Assoc. 1996. Sep-Oct. 3 (5) 328-339.

 

McCray AT, Gallagher ME. 2001. Principles for Digital Library Development. Communications of the ACM 44(5): 48-54

 

Ackerman, MJ. 1998. The visible human project. Proceedings of the IEEE. 86(3) 504-511.

 

Field MJ (ed.) 1996. Telemedicine: a Guide to Assessing Telecommunications for Health Care. Committee on Evaluating Clinical Applications of Telemedicine, Division of Health Care Services, Institute of Medicine. National Academy Press, Washington DC.

Hripcsak, G; Wilcox, A. 2002. Reference standards, judges, comparison subjects: roles for experts in evaluating system performance. J Am Med Inform Assoc. 9 1-15.

 

IMIA Working Group I. Recommendations of the International Medical Informatics Association on Education in Health and Medical Informatics.

 

3.                  Evaluation

 Students will be evaluated on attendance, preparation for small group discussion by reading assigned materials and on planning or execution of a research-related project.

 

 

[1] Association of American Medical Colleges; “Report II: Contemporary issues in medicine: Medical informatics and population health” Medical School Objectives Project June 1998.

[2] International medical informatics association, Working group 1: Health and medical informatics education; “Recommendations of the International Medical Informatics Association (IMIA) on Education in Health and Medical Informatics” Methods of Information in Medicine 39(2000), 267-277.

 

January 2007   MED546H              

 

 
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