Skip to main content
NCBI home page
Proceedings of the Annual Symposium on Computer Application in Medical Care logoLink to Proceedings of the Annual Symposium on Computer Application in Medical Care
. 1990 Nov 7:359–363.

Standard Information Content and Procedures Used in the Formation of a Research Oriented Health Services Database

Bryan D Thompson, Neill F Piland, Wendy E Hoy, Margaret Watkins, Kelly A Montgomery
PMCID: PMC2245441

Abstract

This paper describes the process of establishing as automated system for abstraction of computerized healthcare administrative data from a hospital or clinical database (HIS) into a new data structure which has been tailored for research interests. This process involves careful study of the HIS holdings and data collection procedures, means of categorizing and organizing data, and techniques for standardized maintenance of the new database over many years. Benefits of creating and using the new database for specific projects and its limitations are also discussed.

Full text

PDF
359

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Archinard E., Jornot C., Scherrer J. R. On the flow of medical information through a hospital registration post. Int J Biomed Comput. 1983 Mar;14(2):131–154. doi: 10.1016/0020-7101(83)90014-4. [DOI] [PubMed] [Google Scholar]
  2. Connell F. A., Diehr P., Hart L. G. The use of large data bases in health care studies. Annu Rev Public Health. 1987;8:51–74. doi: 10.1146/annurev.pu.08.050187.000411. [DOI] [PubMed] [Google Scholar]
  3. Fisher L. D., Gillespie M. J., Jones M., McBride R. Design of clinical database management systems and associated software to facilitate medical statistical research. Crit Rev Med Inform. 1988;1(4):323–331. [PubMed] [Google Scholar]
  4. Gabrieli E. Standardization of medical informatics. J Clin Comput. 1985;14(3):62–104. [PubMed] [Google Scholar]
  5. Klonk J., Rassmann B. The architecture of a data processing system to support statistical studies. Med Inform (Lond) 1984 Apr-Jun;9(2):125–134. doi: 10.3109/14639238409010945. [DOI] [PubMed] [Google Scholar]
  6. Pangalos G. Design of hospital database systems in a non-relational environment. Med Inform (Lond) 1988 Jan-Mar;13(1):27–33. doi: 10.3109/14639238809003572. [DOI] [PubMed] [Google Scholar]
  7. Rutt T. E. Work of IEEE P1157 Medical Data Interchange committee. Int J Clin Monit Comput. 1989 Jan;6(1):45–57. doi: 10.1007/BF01723372. [DOI] [PubMed] [Google Scholar]
  8. Westermeyer J. Problems with surveillance methods for alcoholism: differences in coding systems among federal, state, and private agencies. Am J Public Health. 1988 Feb;78(2):130–133. doi: 10.2105/ajph.78.2.130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Zwetsloot-Schonk J. H., Snitker P., Vandenbroucke J. P., Bakker A. R. Using hospital information systems for clinical epidemiological research. Med Inform (Lond) 1989 Jan-Mar;14(1):53–62. doi: 10.3109/14639238909010879. [DOI] [PubMed] [Google Scholar]

Articles from Proceedings of the Annual Symposium on Computer Application in Medical Care are provided here courtesy of American Medical Informatics Association

RESOURCES