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Biomedical subjects

E R Gabrieli

Publications and source records attributed to E R Gabrieli.

At least 37 records · Page 2Linked to original sources
PubMed1989

A new electronic medical nomenclature.

The author presents the complex scientific and technical foundation of the recently completed biomedical nomenclature. This nomenclature places all the terms into a single hierarchical order. Computer-compatibility is achieved by the numeric representation of the location ("address") of the term on the hierarchical tree. These unique numeric representations serve as codes, making the system language-independent, with potential for usage in various languages, and rendering medical terminology computer-compatible.

Disease↗
PubMed1989

Automated screening for quality of care in the hospital--a feasibility study.

A feasibility study for computer-based quality screening was carried on 497 clinical cases. Rule-directed audit criteria were used. Discharge summaries were analyzed in an effort to detect possible quality problems. The charts of the same cases were also screened by nurses, and the suspected cases of both process es were further reviewed by physicians. The computer-based text analysis compared favorably with the screening by nurses, and showed a rather low false negative rate. The objectives of substantiating the discharge summary as a valid source document for generic quality screening was demonstrated. In addition the economy and feasibility of computer based text analysis and interpretation was proven. Finally the applicability of algorithmic rules in detecting clinical quality indicators showed great promise and presents an area of further research. Thus the feasibility study was highly successful. The potential of computer-based care quality assessment is discussed.

Electronic Data Processing↗
PubMed1988

Computer-assisted assessment of patient care in the hospital.

Using his natural language medical text analyzing system, the author has computer-processed the discharge summary segment of the patient record. The output of the text analyzer is a list of medical facts. The low-cost, high productivity process is eminently suited for screening the quality of clinical care provided in the hospital.

Artificial Intelligence↗
PubMed1987

Computerized discharge summaries: a new window for patient care monitoring.

Automated fact extraction from discharge summaries of the hospital chart yielded a useful set of facts for characterizing the clinical history and care of a hospitalized patient. The extracted facts depict the clinical events of a single patient, whereas the aggregate of the facts reflects the hospital's pattern of health care. Automated analysis of the discharge summaries provides good data for monitoring quality of care: Appropriateness and timeliness of hospitalization, effectiveness of diagnostic hypothesis generation, judicious use of resources, iatrogenic problems (surgical complications, other therapeutic mishaps), and inconsistencies (such as an abnormal finding without follow-up) are some of the issues recognizable when studying the care rendered. Fiscal studies are facilitated by the 50 to 100 facts on each patient considered pertinent and significant by the physician. These facts on each patient provide a much better definition of the illness and the resources used than the currently used discharge abstract data for DRG grouping. Medical audit: Ongoing clinical self-audit and cost study should stimulate a hospital's medical staff to constantly improve the quality of patient care management, and to be aware of the cost of the various resources. Alternative treatment patterns can be compared in the institutional audit reports, based on outcome, patient satisfaction, and/or cost. Clinical medicine could use a multi-institutional fact data-base as a retrievable source of yesterday's clinical experience, to guide clinical decisions of today.

Electronic Data Processing↗
PubMed1985

Knowledge bases.

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Artificial Intelligence↗