A GIS Open Source Application to Perform the Spatial Distribution of Prevention Quality Indicators (PQIs)

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Lia Duarte (Author) FCUP; Lobo, M (Author) Other; Viana, J (Author) Other; Freitas A (Author) FMUP; Ana Teodoro (Author) FCUP

Conference proceedings International

Title: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT (GISTAM)

Pages: 129-134

6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)

ELECTR NETWORK, MAY 07-09, 2020

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00S-H4F

DOI: 10.5220/0009805801290134

Abstract (EN): Geographical variations carry important information for improving and planning more equitable and sustainable health care services. Geographic Information Systems (GIS) are crucial tools that provide intuitive visual help which contributes to a better understanding of the spatial distribution of health risk factors, resources, care and outcomes. The interest in GISs have stimulated the development of several applications worldwide to publicly inform the geographical patterns of health. However, in Portugal, this type of tools remains underdeveloped for public reporting of health information. The aim of this study was to develop a GIS open source application for spatial analysis of healthcare indicators in Portugal, using hospital data obtained from the Administracao Central do Sistema de Saude, I.P. Specifically, given their importance to monitor the quality of primary health care, data regarding Prevention Quality Indicators (PQIs) will be used to establish a proof of concept of this tool. The tool was connected to a spatial database in order to filter the parameters. Several maps based on PQI information were created in order to test the application. It was concluded that the spatial combination of all the data provided in a GIS software and through an intuitive application can contribute to the analysis of quality of primary health care.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6