PubMed · 252275
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R Wrede. 1978-11-29. [Scandinavian data processing legislation].. https://pubmed.ncbi.nlm.nih.gov/252275/
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The paper discusses feasibility of assessment of the state of the art in research in oncology using information technology and computed functional research structures. This structure allows to identify polar areas of interest, viz. active and passive research. Neutral directions of research serve to exchange information between the two polar areas. This approach allows quantitative evaluation of the importance of the research areas and their interrelationship and offers advantage over expert assessment methods. A critical area of research-genetic peculiarities of the malignant cell (tumor genetics)-is identified. The comparative data on the costs involved in analysis of planned research programs using experts and information technology are discussed.
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There is a need for consensus on the quantity of data that must be available in a computer-based information system of a health care organization. In this paper we take up the issue of defining the data content of an information system and introduce the concept of Essential Data Sets with an explicit methodology which was applied to define a data set for the Maternal Health Services program. A key step in the method was a recognized technique used in systems development process called data modelling, in this case infological modelling, by an interdisciplinary group. A preliminary set of 86 data elements was identified and it provided the foundation for development of an application software for discussion and a real-world testing framework. The acceptability of the data set was tested in a laboratory perspective by retrospective data entry from records of 94 pregnant women registered at a maternal health care center in Sweden. Data from a total of 1,318 prenatal visits, an outcome visit, and a postnatal visit for each woman was entered into a computer using the software, with no loss of information. Thus, in a short-term perspective the acceptability of the data set was demonstrated. The software has since been implemented for pilot prospective studies at sites in India and Sweden. The use of a common data protocol is an essential foundation for patient outcome research, especially as the trend of health care management has changed from a "process of care" orientation to an "outcome of care" orientation.