PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 8130596

Image Engine: an object-oriented multimedia database for storing, retrieving and sharing medical images and text.

H J Lowe
View original source ↗Export metadata ↓

Abstract

This paper describes Image Engine, an object-oriented, microcomputer-based, multimedia database designed to facilitate the storage and retrieval of digitized biomedical still images, video, and text using inexpensive desktop computers. The current prototype runs on Apple Macintosh computers and allows network database access via peer to peer file sharing protocols. Image Engine supports both free text and controlled vocabulary indexing of multimedia objects. The latter is implemented using the TView thesaurus model developed by the author. The current prototype of Image Engine uses the National Library of Medicine's Medical Subject Headings (MeSH) vocabulary (with UMLS Meta-1 extensions) as its indexing thesaurus.

Explore related subjects

Abstracting and IndexingData DisplayDatabases, FactualHumansInformation Storage and RetrievalMicrocomputersUser-Computer InterfaceVideodisc RecordingJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H J Lowe. 1993. Image Engine: an object-oriented multimedia database for storing, retrieving and sharing medical images and text.. https://pubmed.ncbi.nlm.nih.gov/8130596/

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

KEEP EXPLORING

Related citations

PubMed1996

Assessment of surveillance for meningococcal disease in New York State, 1991.

Prevention of meningococcal disease relies in part on the prompt treatment of household and other close contacts of cases. New York State requires that all meningococcal disease cases be reported within 24 hours of diagnosis to ensure that chemoprophylaxis is given to all exposed persons. The authors used a capture-recapture method to assess completeness of reporting of meningococcal disease in 1991 by comparing persons reported to the Department of Health surveillance system with patients listed in the New York State computerized hospital discharge data set who had a discharge diagnosis of meningococcal disease. Medical records of persons identified from the discharge data set were reviewed to verify the diagnosis of meningococcal disease, and timeliness of reporting was assessed by reviewing surveillance case reports. In 1991, 110 cases of meningococcal disease were reported to the Department of Health and 197 patients were identified from hospital discharge data, of which charts were reviewed for 179 (91%). Of the charts reviewed, 116 (65%) had confirmed or probable meningococcal disease, and 57 (32%) did not have the disease. Completeness of reporting to the notifiable disease surveillance system was estimated to be 93%, and 78% were reported within 2 days of diagnosis. Errors of physicians and medical records departments contributed to the misclassification of medical records. The authors conclude that notifiable disease surveillance for meningococcal disease is relatively complete, but there is a delay in reporting some cases. Frequent errors may make invalidated hospital discharge data unsuitable for communicable disease surveillance.

Abstracting and Indexing↗