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Biomedical subjects

N B Giuse

Publications and source records attributed to N B Giuse.

8 recordsLinked to original sources
PubMed1991

An interlingua for electronic interchange of medical information: using frames to map between clinical vocabularies.

The proliferation of medical knowledge has led to the development of extensive dictionaries for electronically accessing information resources. The task of standardizing terminology used for electronic hospital records and for knowledge bases for medical expert systems and indexing the medical literature cannot easily be met by developing a single, monolithic "official" medical vocabulary. Developing a monolithic vocabulary would require a massive effort, and its existence would not guarantee its use by third-party payors, by practicing clinicians, or by developers of electronic medical information systems. Recognizing this, the National Library of Medicine (NLM) has begun to develop the Unified Medical Language System (UMLS) as a means of promoting electronic information exchange among systems with controlled vocabularies. The authors describe a frame-based system developed as an experimental approach to mapping between controlled clinical vocabularies.

Cluster Analysis↗
PubMed1991

Heuristic determination of quantitative data for knowledge acquisition in medicine.

Knowledge acquisition for medical knowledge bases can be aided by programs that suggest possible values for portions of the data. The paper presents an experiment which was used in designing a heuristic to help the process of knowledge acquisition. The heuristic helps to determine numerical data from stylized literature excerpts in the context of knowledge acquisition for the QMR medical knowledge base. Quantitative suggestions from the heuristics are shown to agree substantially with the data incorporated in the final version of the knowledge base. The experiment shows the potential of knowledge base specific heuristics in simplifying the task of knowledge base creation.

Artificial Intelligence↗
PubMed1991

A tool for the computer-assisted creation of QMR medical knowledge base disease profiles.

QMR-KAT is a computer-based tool which assists physicians in the construction of the QMR medical knowledge base. Each QMR disease profile results from an in-depth analysis of the published medical literature, and from consultations with expert clinicians. QMR-KAT is an interactive knowledge acquisition program which facilitates the creation of new disease profiles, records the supporting evidence for each disease profile entry, and enforces consistency with the existing knowledge base. The program has been used in the creation of all new QMR disease profiles over the past two years. It has also been used to support a study on the reproducibility of knowledge base construction.

Artificial Intelligence↗
PubMedDate not supplied

Information needs of health care professionals in an AIDS outpatient clinic as determined by chart review.

OBJECTIVE: To examine the information needs of health care professionals in HIV-related clinical encounters, and to determine the suitability of existing information sources to address those needs. SETTING: HIV outpatient clinic. PARTICIPANTS: Seven health care professionals with diverse training and patient care involvement. METHODS: Based on patient charts describing 120 patient encounters, participants generated 266 clinical questions. Printed and on-line information sources were used to answer questions in two phases: using commonly available sources and using all available medical library sources. MEASUREMENTS: The questions were divided into 16 categories by subject. The number of questions answered, their categories, the information source(s) providing answers, and the time required to answer questions were recorded for each phase. RESULTS: Each participant generated an average of 3.8 clinical questions per chart. Five categories accounted for almost 75% of all questions; the treatment protocols/regimens category was most frequent (24%). A total of 245 questions (92%) were answered, requiring an average of 15 minutes per question. Most (87%) of the questions were answered via electronic sources, even though paper sources were consulted first. CONCLUSIONS: The participating professionals showed considerable information needs. A combination of on-line and paper sources was necessary to provide the answers. The study suggests that present-day information sources are not entirely satisfactory for answering clinical questions generated by examining charts of HIV-infected patients.

Ambulatory Care↗
PubMedDate not supplied

Educational software evaluation process.

The Active Digital Library at the Vanderbilt University Medical Center has created and implemented an educational software evaluation process to facilitate the timely recommendation for product acquisition. Using this process, breadth and depth of subject coverage, clarity of presentation, quality of construction, and ease of use are being assessed by content and technical experts. The process uses a team approach, employing a bi-level evaluation instrument based on existing software evaluation forms and system bug reports.

Computer-Assisted Instruction↗
PubMedDate not supplied

Evaluation of long-term maintenance of a large medical knowledge base.

OBJECTIVE: Evaluate the effects of long-term maintenance activities on existing portions of a large internal medicine knowledge base. DESIGN: Five physicians who were not among the original developers of the knowledge base independently updated a total of 15 QMR disease profiles; each updated submission was modified by a review of group serving as the "gold standard, " and the pre- and post-study versions of each updated disease profile were compared. MEASUREMENTS: Numbers and types of changes, defined as any difference between the original version and the final version of a disease profile; reason for each change; and bibliographic references cited by the physicians as supporting evidence. RESULTS: A total of 16% of all entries were modified by the updating process; up to 95% of the entries in a disease profile were affected. The two most common modifications were changes to the frequency of an entry, and creation of a new entry. Laboratory findings were affected much more often than were history, symptom, or physical exam findings. The dominant reason for changes was appearance of new evidence in the medical literature. The literature cited ranged from 1944 to the present. CONCLUSIONS: This study provides an evaluation of the rate of change within the QMR medical knowledge base due to long-term maintenance. The results show that this is a demanding activity that may profoundly affect certain portions of a knowledge base, and that different types of knowledge (e.g., simple laboratory vs expensive or invasive laboratory findings) are affected by the process in different ways.

Decision Support Techniques↗