Methods Inf Med 2002; 41(02): 177-182
DOI: 10.1055/s-0038-1634303
Original Article
Schattauer GmbH

A Resource Server for Medical Training

J. M. Brunetaud
1   Centre d’Etude et de Recherche en Informatique Médicale, Faculté de Médecine de Lille, France
,
S. Darmoni
2   Laboratoire Perception Systèmes Information, Faculté de Médecine de Rouen, France
,
N. Souf
1   Centre d’Etude et de Recherche en Informatique Médicale, Faculté de Médecine de Lille, France
,
E. Dufresne
1   Centre d’Etude et de Recherche en Informatique Médicale, Faculté de Médecine de Lille, France
,
R. Beuscart
1   Centre d’Etude et de Recherche en Informatique Médicale, Faculté de Médecine de Lille, France
› Author Affiliations
Further Information

Publication History

Received 07 November 2000

Accepted 25 June 2001

Publication Date:
07 February 2018 (online)

Summary

Objectives: We have developed a RESOURCE SERVER to collect and store various elements used by a professor during his lecture.

Methods: The server manages four types of objects: ELEMENTS, RESOURCES (set of elements referring to a given topic), INDEXES (to organize the resources for further search and use), and USERS (to identify providers, users, and access rights). If an ELEMENT s modified, the RESOURCE is automatically updated.

Results: An example (preparation of an anatomy lecture) explains how the RESOURCE SERVER works in three steps: organization of the training material, indexing, and retrieval.

Conclusions: The RESOURCE SERVER will help instructors develop, update and share pedagogic resources for supporting their training courses, lessons and conferences. Moreover, these techniques, based on Internet technologies for easy handling of and access to these resources, allow local and distant access. Within the general framework of the French-speaking Virtual Medical University, the RESOURCE SERVER will represent an important link between data collection and its use in intelligent pedagogic training.

 
  • References

  • 1 Anderson JG. The Business of Cyber Health-care. MD Comput 1999; 16: 23-5.
  • 2 Van Bemmel JH. Toward a Virtual Electronic Patient Record. MD Comput 1999; 16: 20-2.
  • 3 Giani U, Martone P. Distance learning, problem-based learning and dynamic knowledge networks. Int J Med Inf 1998; 52: 209-16.
  • 4 Denier P. A network of Web multimedia medical information servers for a medical school and a university hospital. Int J Med Inf 1997; 46: 41-51.
  • 5 LeBeux P, Duff F, Fresnel A. et al. The French Virtual Medical University. Stud Health Technol Inform 2000; 77: 554-62.
  • 6 Alpay L, Murray P. Challenges for delivering healthcare education through Telematics. Int J Med Inf 1998; 50: 273-8.
  • 7 Seka LP, Duvauferrier R, Fresnel A, Le Beux P. A Virtual University Web System for a Medical School. Medinfo 1998; 9 (Suppl. 02) 772-6.
  • 8 Horsch A, Hellerhoff P, Hogg M. et al. Concepts of a Web-based Open Distributed Textbook for the Multi-modal Diagnostics of Gastrointestinal Tumors with MRI, CT and Video-endoscopy Addressing Students of Medicine and Students of Medical Informatics as two Different Target Groups. Medinfo 1998; 9 (Suppl. 02) 793-7.
  • 9 Rector AL. Thesauri and formal Classification: terminology for people and machines. Methods Inf Med 1998; 37 4-5 501-9.
  • 10 Anderson Sk, Anderson S, Bygholm A, Hejlesen O, Nohr C. The education in medical informatics at Aalborg University. In: IMIA Year-book of Medical Informatics 1996. van Bemmel JH, McCray AT. eds. Stuttgart: Schattauer; 1996: 111-6.
  • 11 Rosse C. The potential of computerized representations of anatomy in the training of health care providers. Acad Med 1995; 70 (Suppl. 06) 499-505.
  • 12 Darmoni SJ, Thirion B, Leroy JP, Douyere M, Piot J. The Use of Dublin Core Metadata in a Structured Health Resource Guide on the Internet. Bull Med Libr Assoc 2001; 89 (Suppl. 03) 297-301.