This research consists of a descriptive case study on the Structuring of a Business
Intelligence (BI) environment for Health Information Management: the experience of
the Municipal Health Department of Palmeirópolis. This department is responsible for
managing the health area, access and quality of policies, programs, strategies and
actions of the Unified Health System (SUS). It was assumed that the use of the concept
and tools of Business Intelligence (BI) or Business Intelligence (IN) can contribute to
quality and innovation in management, strengthening planning processes and
improving the decision-making process . The general objective of this work is to
describe the process of implementing the BI tool in the Management of the Municipal
Health Department. Regarding the research methodology, four initiatives were
identified as a sample in the universe of all managerial processes of the health
department, which had investment in BI technology over the past few years. This
investment resulted in the following tools: the Dashboard Exames, the Vehicle Wheel
Monitoring Dashboard, and the Regulation Dashboard. Dashboard COVID. For the
creation of dashboards and reports, applications available to use Qlik Sense based on
cloud computing were used. Data collection was performed from secondary data
related to the process of implementing and using BI. Standards, legislation, normative
instructions and standard operating procedures were used. In addition to these,
protocols, spreadsheets, databases, forms and flowcharts were also used, as well as
technical analysis reports of the processes chosen for study and other documents
relevant to the selected process. The analysis of all the material was carried out using
the content analysis technique. As a product of this work, a script was prepared with
recommendations to systematize the project to implement BI technology in SUS
management processes. The study is presented as a potential to serve as a basis for
new journeys on the issue of the use of technology in Municipal Health. As much as
processes and information are aligned, the results of this study show that the major
bias found is that it should always encourage decision-making to be based on
information and that all intelligence behind BI technology is in the human being.
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