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PubMed2001

Guideline for health informatics: controlled health vocabularies--vocabulary structure and high-level indicators.

Developers and purchasers of controlled health terminologies require valid mechanisms for comparing terminological systems. By Controlled Health Vocabularies we refer to terminologies and terminological systems designed to represent clinical data at a granularity consistent with the practice of today's healthcare delivery. Comprehensive criterion for the evaluation of such systems are lacking and the known criteria are inconsistently applied. Although there are many papers, which describe specific desirable features of a controlled health vocabulary, to date there is not a consistent guide for evaluators of terminologies to reference, which will help them compare implementations of terminological systems on an equal footing 1,2 This guideline serves to fill the gap between academic enumeration of desirable terminological characteristics and the practical implementation or rigorous evaluations which will yield comparable data regarding the quality of one or more controlled health vocabularies.

Medical Informatics↗
PubMed2001

An informatics system to support knowledge management in the health sector--the South African National Health Knowledge Network.

This paper discusses the planning and development of a South African national health knowledge network. The methodology is in essence based on the principles of knowledge management and the drivers of a system of innovation. The knowledge network, SA HealthInfo, aims to provide a one-stop interactive forum/resource, for quality-controlled and evidence-based health research information, to a wide spectrum of users, at various levels of aggregation, with the necessary security arrangements and facilities for interaction among users to promote explicit (codified) and tacit knowledge flow. It will therefore stimulate the process of innovation within the South African health system.

Computer Security↗
PubMed2001

Informatics application provides instant research to practice benefits.

A web-based research information system was designed to enable our research team to efficiently measure health related quality of life among frail older adults in a variety of health care settings (home care, nursing homes, assisted living, PACE). The structure, process, and outcome data is collected using laptop computers and downloaded to a SQL database. Unique features of this project are the ability to transfer research to practice by instantly sharing individual and aggregate results with the clinicians caring for these elders and directly impacting the quality of their care. Clinicians can also dial in to the database to access standard queries or receive customized reports about the patients in their facilities. This paper will describe the development and implementation of the information system. The conference presentation will include a demonstration and examples of research to practice benefits.

Abstracting and Indexing↗