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Methods Inf Med 1987; 26(01): 3-12
DOI: 10.1055/s-0038-1635481
Original Article
Schattauer GmbH

From Medical Data to Health Knowledge

Von medizinischen Daten zum Wissen um die Gesundheit
J. M. Martin
1   From the INSERM Unité 115, the Département de Santé Publique, Vandoeuvre les Nancy, and the Centre de Médecine Spécialisée, Sécurité Sociale dans les Mines, Freyming Merlebach, France
,
L. Benamghar
1   From the INSERM Unité 115, the Département de Santé Publique, Vandoeuvre les Nancy, and the Centre de Médecine Spécialisée, Sécurité Sociale dans les Mines, Freyming Merlebach, France
,
B. Junod
1   From the INSERM Unité 115, the Département de Santé Publique, Vandoeuvre les Nancy, and the Centre de Médecine Spécialisée, Sécurité Sociale dans les Mines, Freyming Merlebach, France
,
P. Marrel
1   From the INSERM Unité 115, the Département de Santé Publique, Vandoeuvre les Nancy, and the Centre de Médecine Spécialisée, Sécurité Sociale dans les Mines, Freyming Merlebach, France
› Author Affiliations
Further Information

Publication History

Publication Date:
16 February 2018 (online)

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Summary

The problems of assisting in the medical decision-making process are attracting more and more attention.

Actually a certain number of computer systems have considerably improved the availability of medical data. However, we encounter some difficulties when extending these systems. In order to surmount these problems, it is necessary to proceed further in the analysis and comprehension of medical information and processes.

To accomplish this goal, it is necessary to have a better understanding of the way in which a group of medical data is derived from one piece of medical knowledge and also how a chunk of medical knowledge is related to its corresponding medical data.

This article is a beginning in the study of the transition from medical data to health knowledge, and this transition represents only part of the global entity, the nature, the representation, and use of medical information.

Die Probleme bei der Unterstützung im medizinischen Entscheidungsfindungsprozeß ziehen die Aufmerksamkeit in zunehmendem Maße auf sich.

In der Tat haben eine Anzahl von Computersystemen die Verfügbarkeit medizinischer Daten wesentlich verbessert. Jedoch stoßen wir bei der Ausweitung dieser Systeme auf einige Schwierigkeiten. Um diese Probleme zu überwinden, ist es erforderlich, in der Analyse und im Verständnis medizinischer Information und Prozesse weiter fortzuschreiten.

Um dieses Ziel zu erreichen, ist ein besseres Verständnis davon notwendig, wie eine Gruppe medizinischer Daten von einem bestimmten medizinischen Wissen hergeleitet wird und wie ein Stück medizinischen Wissens auf die entsprechenden medizinischen Daten bezogen ist. Diese Arbeit stellt einen Anfang im Studium des Übergangs von medizinischen Daten zum Wissen um die Gesundheit dar, und dieser Übergang ist nur ein Teil der globalen Ganzheit, der Art, der Darstellung und Benutzung medizinischer Information.

Key-Words

Medical Data - Health Knowledge - Decision-Making

Schlüssel-Wörter

Medizinische Daten - Wissen um die Gesundheit - Entscheidungsfindung
 

  • REFERENCES

  • 1 Andrews J. G, McLone R. R. Mathematical Modelling. Boston: Butter-worths; 1976
  • 2 Automation of the Problem-oriented Medical Record PROMIS Laboratory. NCHSR Research Digest Series. U. S. Department HEW,. 1977
    Google Scholar
  • 3 Barnett O. G. Computer-stored Ambulatory Record (COSTAR). Cambridge, Ma.: Laboratory of Computer Sciences, Massachusetts General Hospital. 1976
    Google Scholar
  • 4 Barnett O. G. The application of computer-based medical-record systems in ambulatory practice. New Engl. J. Med. 1984; 310: 1643-1650.
    CrossrefPubMedGoogle Scholar
  • 5 Barnett O. G, Justice N. S, Somand M. E. et al. COSTAR – A computer-based medical information system for ambulatory care. Proc. IEEE 1979; 67: 1226-1237.
    CrossrefPubMedGoogle Scholar
  • 6 Blois M. S. Clinical judgment and computers. New Engl. J. Med 1980; 303: 192-197.
    CrossrefPubMedGoogle Scholar
  • 7 Blois M. S. Information and Medicine. The Nature of Medical Descriptions. Berkeley: Univ. Calif. Press; 1984
    Google Scholar
  • 8 Blum R. L. Discovery and Representation of Causal Relationship from a Large Time-oriented Clinical Database: The RX Project. New York: Springer; 1982
    Google Scholar
  • 9 Clancey W. J, Shortliffe E. H. Readings in Medical Artificial Intelligence. The First Decade. Reading: Addison-Wesley; 1984
    Google Scholar
  • 10 Codd E. F. A relational model of data for large shared data banks. Commun. ACM 1980; 13: 377-387.
    PubMedGoogle Scholar
  • 11 Current Medical Information and Terminology (CMIT). Chicago: Amer. Med. Ass.; 1979
    Google Scholar
  • 12 Delobel C, Adiba M. Bases de Données et Systèmes Relationnels. Paris: Dunod Informatique. 1982
    Google Scholar
  • 13 Elstein A. S, Shulman L. S, Sprafka S. A. Medical Problem Solving. An Analysis of Clinical Reasoning. Cambridge: Harvard Univ. Press; 1978
    Google Scholar
  • 14 Fieschi M. SPHINX – Un système expert d’aide à la décision en medicine. Marseille: Thèse de B. H; 1983
    Google Scholar
  • 15 Fries J. F. Time oriented patient records and a computer databank. J. Amer. med. Ass 1972; 222: 1536-1542.
    CrossrefPubMedGoogle Scholar
  • 16 Fries J. F. A data bank for the clinician? New Engl. J. Med 1976; 294: 1400-1402.
    PubMedGoogle Scholar
  • 17 Fries J. F, McShane D. J. ARAMIS: A national chronic disease data bank system. Proc. Third Ann. Symp. Computer Applications in Medical Care. Washington, D. C: IEEE; 1979: 798-S01.
    Google Scholar
  • 18 Glasziou P, Vermeir D. Information analysis for medical expert systems. Meth. Inform. Med 1984; 23: 126-134.
    PubMedGoogle Scholar
  • 19 Goldberg M, Grémy F. De la définition des informations médicales à l’exploitation des données médicales: Quelques réflexions à partir de l’expérience d’un service d’informatique et de statistique. Proc. Intern, Symposium, Toulouse. 1977: 511-522.
    Google Scholar
  • 20 Gomez F, Chandrasekaran B. Knowledge Organization and distribution for medical diagnosis. IEEE Trans. Syst. Man Cybern. SMC 1981; 11: 34-42.
    PubMedGoogle Scholar
  • 21 Gottinger H. W. Computers in medical care: A review. Meth. Inform. Med 1984; 23: 63-74.
    PubMedGoogle Scholar
  • 22 Goupy F. Le système CHRONOSS: Réalisation d’un système de gestion de base de données médicales, orienté vers le traitement des données évolutives. Paris VI: Thèse d’Etat de B. H; 1978
    Google Scholar
  • 23 International Classification of Diseases (ICD). Ninth Revision, Clinical Modification (ICD-9-CM). Ann Arbor, Mich: Commission of Professionnal and Hospital Activities; 1978
    Google Scholar
  • 24 Jones R. B, Hedley A. J, Peacock I, Allison S. P, Tattersall R. B. A computer-assisted register and information system for diabetes. Meth. Inform. Med 1983; 22: 4-14.
    PubMedGoogle Scholar
  • 25 Koestler A. Le cheval dans la locomotive. Le paradoxe humain. Paris: Calman-Levy; 1968
    Google Scholar
  • 26 Le Beux P, Fontaine D. Un système d’acquisition des connaissances pour systèmes experts. TSI 1986; 5: 7-20.
    PubMedGoogle Scholar
  • 27 Lecture Notes in Biomathematics. Vol 57. Capasso V, Grosso E, Paveri-Fontana S. L. (Eds) Mathematics in Biology and Medicine. Proceedings, Bari, 1983. Berlin: Springer; 1985
    Google Scholar
  • 28 Lindberg D. A. D. The Growth of Medical Information Systems in the United States. Lexington, Ma: Lexington Books; 1979
    Google Scholar
  • 29 Machine Learning. An Artificial Intelligence Approach. Eds Michalski R. S, Carbonell J. G T. M. Mitchell. Palo Alto, Ca: Tioga Publ. Co; 1983
    Google Scholar
  • 30 Martin J. M. Maîtrise d’informations de santé chronologiques. Description d’états de santé. Gestion des données. Eléments décisionnels. Thèse d’Etat de Mathématiques, Université de Nancy I. 1983
    Google Scholar
  • 31 Martin J. M, Jabot F, Marrel P. How to organize the medical data of chronically ill patients in the computer. Meth. Inform. Med 1985; 24: 5-12.
    PubMedGoogle Scholar
  • 32 Martin J. M, Pointel J. P, Martin J, Debry G. The notion of time in medical records, structure of chronology, validation and calculation of a time interval. Meth. Inform. Med 1978; 17: 89-95.
    PubMedGoogle Scholar
  • 33 Martin J. M, Pointel J. P, Martin J, Debry G. Long range medical follow-up and updating of computerized records. Meth. Inform. Med 1980; 19: 23-28.
    PubMedGoogle Scholar
  • 34 Netter P, Bannwarth B, Monot C, Pourel J, Royer R. J, Gaucher A. Diffusion of drugs through the synovial membrane. Pharm. Int 1984; 5: 273-275.
    PubMedGoogle Scholar
  • 35 Norman D. A. Learning and Memory. New York: Freeman and Co; 1982
    Google Scholar
  • 36 Pople H. E. Artificial-intelligence Approaches to Computer-based Medical Consultation. IEEE Intercon. Conference. 1975
    Google Scholar
  • 37 PROMIS Laboratory: Automation of a Problem-oriented Medical Record. Burlington, Vt: University of Vermont; 1976
    Google Scholar
  • 38 Readings in Knowledge Representation. Eds Brachman R.J. H. J. Levesque. Los Altos, Ca: M. Kaufmann Publ., Inc; 1985
    Google Scholar
  • 39 Rescigno A, Segre G. Drug and Tracer Kinetics. Waltham, Ma: Blaisdell Publ. Co; 1966
    Google Scholar
  • 40 Schank R. C. Dynamic Memory. A Theory of Reminding and Learning in Computers and People. Cambridge: Cambridge Univ. Press; 1982
    Google Scholar
  • 41 Shortliffe E. H. Computer-based Medical Consultations: MYCIN. New York: Elsevier; 1976
    Google Scholar
  • 42 Sitharama Iyengar S. Computer Modeling of Complex Biological Systems. Boca Raton, Fl: CRC Press; 1984
    Google Scholar
  • 43 Systematized Nomenclature of Medicine (SNOMED). Skokie, Ill: College of American Pathologists; 1979
    Google Scholar
  • 44 Tsichritzis D. C, Lochovsky F. H. Data Models. Englewood Cliffs: Prentice-Hall; 1982
  • 45 Warner H. R. Knowledge sectors for logical processing of patient data in the HELP system. In Orthner H. F. (Edit.) Proc. 2nd Annual Symposium on Computer Applications in Medical Care. Washington, D. C 1978. New York: IEEE; 1978: 401-409.
    Google Scholar
  • 46 Wasserman A. I, Stinson S. K. A specification method for interactive information system. Proc. IEEE Computer Society Conference on Specification of Reliable Software. 1979: 68-79.
    Google Scholar
  • 47 Weiss S, Kulikowski C. A. EXPERT: A System for Developing Consultation Models. CBM-TR-95. Rutgers University 1979. Also in Proc. Sixth Int. Tokyo.: Conf. on Artificial Intelligence; 1979
    Google Scholar
  • 48 Weyl S, Fries J. F, Wiederhold G, Germano F. A modular self-describing clinical databank system. Comput. bio-med. Res 1975; 8: 279-293.
    CrossrefPubMedGoogle Scholar
  • 49 Wiederhold G. Database Design. New York: McGraw-Hill; 1977
    Google Scholar