Applicability and potentiality in the use of Business Intelligence tools in Primary Health Care.

Autor: Torres DR; Secretaria Municipal de Saúde do Rio de Janeiro. R. Afonso Cavalcanti 445, Cidade Nova. 20211-110 Rio de Janeiro RJ  Brasil., Cardoso GCP; Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil., Abreu DMF; Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil., Soranz DR; Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil., Oliveira EA; Universidade Federal do Rio de Janeiro. Rio de Janeiro RJ Brasil.
Jazyk: Portuguese; English
Zdroj: Ciencia & saude coletiva [Cien Saude Colet] 2021 Jun; Vol. 26 (6), pp. 2065-2074. Date of Electronic Publication: 2021 Feb 24.
DOI: 10.1590/1413-81232021266.03792021
Abstrakt: Data management tools, called Business Intelligence (BI), can be important to provide complete and customizable information for the demands of health management. The objective of the article is to present the evaluation of the applicability and potential of a BI tool in the planning of management actions of Primary Health Care. Exploratory study, with a quantitative approach, using the dimensions of efficiency and optimization as attributes of quality. A Family Clinic was selected in the city of Rio de Janeiro. Data from the territory, from the Bolsa Família Program register and some "Care Lines" were inserted in the BI, in order to explore the possibilities of combining and generating indicators. In this article, we present the use of Form A and the pregnant woman's Care Line. As a result, greater range of detailed indicators compared to a common tab, and optimization in obtaining lists and perform monitoring tasks by the teams and the manager. Regarding efficiency, its low cost and easy handling reduces the costs of creation and necessary professionals. As a conclusion, the BI tool enables greater organization and planning, facilitating the Family Health Clinic management, mainly for the monitoring of indicators and evaluation processes.
Databáze: MEDLINE