Download PDF
Yearb Med Inform 2002; 11(01): 329-331
DOI: 10.1055/s-0038-1638130
Synopsis
Georg Thieme Verlag KG

What can we currently expect from patient records?

M. Kimura
1   Hamamatsu University, School of Medicine Department of Medical Informatics Hamamatsu, Japan
› Author Affiliations
Further Information

Address of the author;

Michio Kimura
Professor and Director
Medical Informatics Department
Hamamatsu University, School of Medicine
1-20-1 Handayama
Hamamatsu, 431-3192, Japan

Publication History

Publication Date:
05 March 2018 (online)

Also available at
 
 PDF Download Permissions and Reprints

 


#

  • References

  • 1 Fieschi M. Knowledge Processing and Decision Support Systems. Synopsis: IMIA Yearbook of Medical Informatics; 2001: 487-9.
    Search in Google Scholar
  • 2 McDonald CJ. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc 1997; 4: 213-21.
    CrossrefPubMedSearch in Google Scholar
  • 3 Brossette SE, Sprague AP, Jones WT, Moser SA. A Data Mining System for Infection Control Surveillance. Method Inform Med 2000; 39: 303-10.
    PubMedSearch in Google Scholar
  • 4 Shortliffe EH. Computer-Based Medical Consultations. North-Holland: MYCIN; 1976
    Search in Google Scholar
  • 5 Kimura M. et al. Cross-Hierarchy Representation of Medical Knowledge – As Applied in Antibiotic Medication Counseling and Side Effect Information. Proc. of SCAMC. 1987: 207-12.
    Search in Google Scholar
  • 6 Brown PJB, Sonksen P. Evaluation of the Quality of Information Retrieval of Clinical Findings from a Computerized Patient Database Using a Semantic Terminological Model. J Am Med Inform Assoc 2000; 7: 392-403.
    CrossrefPubMedSearch in Google Scholar
  • 7 The Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. College of American Pathologists. 1993
    Search in Google Scholar
  • 8 Rector AL. Clinical Terminology: Why is it so Hard?. Method Inform Med 1999; 38 4-5 239-52.
    PubMedSearch in Google Scholar
  • 9 Nadkarni P, Chen R, Brandt C. UMLS Concept Indexing for Production Databases: A Feasibility Study. J Am Med Inform Assoc 2001; 8: 80-91.
    CrossrefPubMedSearch in Google Scholar
  • 10 National Library of Medicine, UMLS Knowledge Sources. 9thed. Bethesda, MD: 1999
    Search in Google Scholar
  • 11 Drury M, Yudkin P, Harcourt J, Fitzpatrick R, Jones L, Alcock C. et al. Patients with cancer holding their own records: a randomized controlled trial. British J Gen Practice 2000; 50: 105-10.
    PubMedSearch in Google Scholar
  • 12 Goorman E, Berg M. Modelling nursing activities: electronic patient records and their discontents. Nursing Inquiry 2000; 7: 3-9.
    CrossrefPubMedSearch in Google Scholar
  • 13 Nilsson G, Petersson H, Ahlfeldt H, Strender L-E. Evaluation of Three Swedish ICD-10 Primary Care Versions: Reliability and ease of Use in Diagnostic Coding. Method Inform Med 2000; 39: 325-31.
    PubMedSearch in Google Scholar

Address of the author;

Michio Kimura
Professor and Director
Medical Informatics Department
Hamamatsu University, School of Medicine
1-20-1 Handayama
Hamamatsu, 431-3192, Japan

  • References

  • 1 Fieschi M. Knowledge Processing and Decision Support Systems. Synopsis: IMIA Yearbook of Medical Informatics; 2001: 487-9.
    Search in Google Scholar
  • 2 McDonald CJ. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc 1997; 4: 213-21.
    CrossrefPubMedSearch in Google Scholar
  • 3 Brossette SE, Sprague AP, Jones WT, Moser SA. A Data Mining System for Infection Control Surveillance. Method Inform Med 2000; 39: 303-10.
    PubMedSearch in Google Scholar
  • 4 Shortliffe EH. Computer-Based Medical Consultations. North-Holland: MYCIN; 1976
    Search in Google Scholar
  • 5 Kimura M. et al. Cross-Hierarchy Representation of Medical Knowledge – As Applied in Antibiotic Medication Counseling and Side Effect Information. Proc. of SCAMC. 1987: 207-12.
    Search in Google Scholar
  • 6 Brown PJB, Sonksen P. Evaluation of the Quality of Information Retrieval of Clinical Findings from a Computerized Patient Database Using a Semantic Terminological Model. J Am Med Inform Assoc 2000; 7: 392-403.
    CrossrefPubMedSearch in Google Scholar
  • 7 The Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. College of American Pathologists. 1993
    Search in Google Scholar
  • 8 Rector AL. Clinical Terminology: Why is it so Hard?. Method Inform Med 1999; 38 4-5 239-52.
    PubMedSearch in Google Scholar
  • 9 Nadkarni P, Chen R, Brandt C. UMLS Concept Indexing for Production Databases: A Feasibility Study. J Am Med Inform Assoc 2001; 8: 80-91.
    CrossrefPubMedSearch in Google Scholar
  • 10 National Library of Medicine, UMLS Knowledge Sources. 9thed. Bethesda, MD: 1999
    Search in Google Scholar
  • 11 Drury M, Yudkin P, Harcourt J, Fitzpatrick R, Jones L, Alcock C. et al. Patients with cancer holding their own records: a randomized controlled trial. British J Gen Practice 2000; 50: 105-10.
    PubMedSearch in Google Scholar
  • 12 Goorman E, Berg M. Modelling nursing activities: electronic patient records and their discontents. Nursing Inquiry 2000; 7: 3-9.
    CrossrefPubMedSearch in Google Scholar
  • 13 Nilsson G, Petersson H, Ahlfeldt H, Strender L-E. Evaluation of Three Swedish ICD-10 Primary Care Versions: Reliability and ease of Use in Diagnostic Coding. Method Inform Med 2000; 39: 325-31.
    PubMedSearch in Google Scholar

   Permissions and Reprints