PubMed · 4671639
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H Acuña Monteverde. [Data processing in public health].. https://pubmed.ncbi.nlm.nih.gov/4671639/
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Computer-based clinical information systems are capable of effectively processing even large amounts of patient-related data. However, physicians depend on rapid access to summarized, clearly laid out data on the computer screen to inform themselves about a patient's current clinical situation. In introducing a clinical workplace system, we therefore transformed the problem list-which for decades has been successfully used in clinical information management-into an electronic equivalent and integrated it into the medical record. The table contains a concise overview of diagnoses and problems as well as related findings. Graphical information can also be integrated into the table, and an additional space is provided for a summary of planned examinations or interventions. The digital form of the problem list makes it possible to use the entire list or selected text elements for generating medical documents. Diagnostic terms for medical reports are transferred automatically to corresponding documents. Computer technology has an immense potential for the further development of problem list concepts. With multimedia applications sound and images will be included in the problem list. For hyperlink purpose the problem list could become a central information board and table of contents of the medical record, thus serving as the starting point for database searches and supporting the user in navigating through the medical record.
This article describes the development of a programme to collect qualitative data on components of nursing care behaviour to supplement quantitative methods. Using hand-held computer technology, data were collected in forensic and mainstream psychiatric care settings. The study was able to show positive improvements in direct care to patients and health outcomes as well as provide the qualifying data necessary to initiate and implement change on management, administrative and nursing care levels. The author recommends that such data be fed into quality initiatives to allow effective and efficient use to be made of increasingly scarce nursing resources.
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