Search PubMed⌕ Search

PubMed · 10254292

Autopsy pathology storage and coding by microcomputer.

Abstract

Storage and coding of anatomic pathology data usually is accomplished by expensive main frame systems. The authors of this article have developed a microcomputer based program package for autopsy pathology which stores patient demographic data, provisional or final anatomic diagnoses, and coded diagnoses obtained from an on-line Systematized Nomenclature of Pathology (SNOP) code lexicon. The system includes limited text editor functions as well as rapid data retrieval with the generation of final reports. Data files containing SNOP codes and diagnoses are searched easily by a variety of parameters, making data retrieval of autopsy material simple and efficient.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

T S Talamo, F J Losos, G F Kessler. 1982. Autopsy pathology storage and coding by microcomputer.. https://pubmed.ncbi.nlm.nih.gov/10254292/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

An evaluation of a self-generated identification code.

We describe a self-generated coding form used in a study of HIV prevention practices of college students and provide information on the success rate of matching questionnaires over a 3-year period using the form. The data for this study were from a longitudinal study of HIV risk-reduction practices of college students. In order to match questionnaires over the 3-year study period while maintaining anonymity, participants were asked to complete a self-generated identification form at each data collection point. In the second year of the project, we were able to successfully match 74.3% of the questionnaires to those returned during the first year using 6 to 8 of the code elements on the form, and in the third year, we were able to match 73% of questionnaires to those returned in the second year. Participants for whom questionnaires matched were more likely than participants with unmatched questionnaires to be white students enrolled as underclassmen.

Abstracting and Indexing↗