title: Integration of internet-based genetic databases into the medical school pre-clinical and clinical curriculum.
abstract: Over the past several years, the field of medical genetics has continued to expand and is now impacting a broad range of medical care, mainly due to rapid advances in genetic technology and information generated by the Human Genome Project. Physicians from multiple disciplines will need to become familiar with genetic principles, and the availability of genetic databases on the internet is a valuable resource for medical students and physicians. To integrate these tools into medical student training, the University of Chicago Pritzker School of Medicine set out to develop multiple, interactive, case-based, educational sessions in the pre-clinical and clinical curriculum, designed to reinforce basic principles taught in the pre-clinical genetics class and demonstrate the usefulness of genetic information accessible via the internet in the clinical setting. Two interactive sessions and a self-assessment exercise were developed. The sessions took place in a computer classroom where each student had access to the internet and could work independently. The sessions used case-based scenarios to help students become familiar with internet based resources and demonstrate how genetic information can affect medical care. The sessions were well received by the student participants with 99% agreeing that the material was useful and important to clinical medicine. In a follow-up questionnaire 1/3 of the students reported using the databases presented during class in a clinical setting.
authors.affiliation: Department of Human Genetics, University of Chicago, IL 60637, USA.
authors.forename: Darrel J
authors.initials: DJ
authors.lastname: Waggoner
authors.forename: Christa Lese
authors.initials: CL
authors.lastname: Martin
mesh_terms: D019295:Computational Biology / Q000193:education*; D003479:Curriculum; D030541:Databases, Genetic; D004504:Education, Medical, Undergraduate / Q000379:methods*; D005826:Genetics, Medical / Q000193:education; D020407:Internet / Q000706:statistics & numerical data*; D012577:Schools, Medical; D013337:Students, Medical