[Knowledge of the actual quality of health care is limited. A consistent and systematic follow-up is needed within large parts of current health care].
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Europe↗
Biomedical subjects
R Linnarsson
Publications and source records attributed to R Linnarsson.
[Experiences with medical audit at a health care center: defined problems with clear criteria have the best chance of successful revision].
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Ambulatory Care Facilities↗
[Decision support--promising aids in risk taking in general practice].
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Decision Making, Computer-Assisted↗
Extracting knowledge from a large primary health care database using a knowledge-based statistical approach.
Clinical databases from automated medical records represent a growing resource for deriving new medical knowledge. In this study a large primary health care database was explored with respect to the association between hypertension and diabetes. Data collection was made with a query language, and data analysis performed with an interactive knowledge-based statistical tool, MAXITAB, employing a multivariate tabular analysis technique. In the study population of 6660 patients the prevalence of diabetes was almost three times higher for hypertensive patients than for those with no hypertension. Conversely, the prevalence of hypertension was 2.6 times higher for diabetic patients than for those with no diabetes. The results support the assumption of a relationship between hypertension and diabetes, although the question of causality between the two diagnoses remains unsolved. Knowledge-based statistical tools of this kind may be feasible for exploring large clinical databases and may result in new medical hypotheses, worthy of further investigation.
Aged↗
[Adverse effects of drugs and computerized registries--a threat or a possibility?].
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Drug Information Services↗
[Computerized medical records and a quality study circle. Effective measures for ensuring quality in health care].
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Computers↗
The data dictionary--a controlled vocabulary for integrating clinical databases and medical knowledge bases.
The medical information systems of the future will probably include the entire medical record as well as a knowledge base, providing decision support for the physician during patient care. Data dictionaries will play an important role in integrating the medical knowledge bases with the clinical databases. This article presents an infological data model of such an integrated medical information system. Medical events, medical terms, and medical facts are the basic concepts that constitute the model. To allow the transfer of information and knowledge between systems, the data dictionary should be organized with regard to several common classification schemes of medical nomenclature.
Database Management Systems↗