Dehumanization of patient care--are computers the problem or the solution?
Author(s): Shortliffe, E H
DOI: 10.1136/jamia.1994.95236139
Author(s): Shortliffe, E H
DOI: 10.1136/jamia.1994.95236139
To analyze the terms used by nurses in a variety of data sources and to test the feasibility of using SNOMED III to represent nursing terms.
Author(s): Henry, S B, Holzemer, W L, Reilly, C A, Campbell, K E
DOI: 10.1136/jamia.1994.95236137
Assess the performance of the SAPHIRE automated information retrieval system.
Author(s): Hersh, W R, Hickam, D H, Haynes, R B, McKibbon, K A
DOI: 10.1136/jamia.1994.95236136
Develop a knowledge-based representation for a controlled terminology of clinical information to facilitate creation, maintenance, and use of the terminology.
Author(s): Cimino, J J, Clayton, P D, Hripcsak, G, Johnson, S B
DOI: 10.1136/jamia.1994.95236135
Careful study of medical informatics research and library-resource projects is necessary to increase the productivity of the research and development enterprise. Medical informatics research projects can present unique problems with respect to evaluation. It is not always possible to adapt directly the evaluation methods that are commonly employed in the natural and social sciences. Problems in evaluating medical informatics projects may be overcome by formulating system development work in terms [...]
Author(s): Stead, W W, Haynes, R B, Fuller, S, Friedman, C P, Travis, L E, Beck, J R, Fenichel, C H, Chandrasekaran, B, Buchanan, B G, Abola, E E
DOI: 10.1136/jamia.1994.95236134
A major obstacle to establishing a computer-stored medical record is the lack of "standards" that would permit government, care providers, insurance companies, and medical computer system developers to share patient data easily. In this position paper, the Board of Directors of the American Medical Informatics Association recommends specific approaches to standardization in the areas of patient, provider, and site of care identifiers; computerized health care message exchange; medical record content [...]
Author(s):
DOI: 10.1136/jamia.1994.95236133
Author(s): McCloskey, J, Bulechek, G
DOI: 10.1136/jamia.1994.95153437
To test the effect of diagnosis on training an artificial neural network (ANN) to predict length of stay (LOS) for psychiatric patients involuntarily admitted to a state hospital.
Author(s): Lowell, W E, Davis, G E
DOI: 10.1136/jamia.1994.95153435
Develop a prototype expert system for preterm birth risk assessment of pregnant women. Normal gestation involves a term of 40 weeks, but because 8-12% of the newborns in the United States are delivered prior to 37 weeks' gestation, problems associated with prematurity continue to plague individuals, families, and the health care system.
Author(s): Woolery, L K, Grzymala-Busse, J
DOI: 10.1136/jamia.1994.95153433