Artificial Intelligence In Data Management In Public Health Supply Chain Systems
The proposal seeks to improve data management using Artificial Intelligence (AI). The focus is on evaluating solutions that increase information systems' interoperability, addressing information fragmentation in the various management systems. Fragmentation is a challenge faced by managers, impacting decision-making and administrative processes. The project aims to understand how a prototype's implementation influences an organization's informational dynamics. An area will be identified for testing the use of AI to assist workers in the administrative routine. The creation of intelligent agents aims to facilitate the analysis of non-sensitive data, optimize time, minimize errors, and achieve problem-solving capacity based on learning from previous actions.
Artificial Intelligence And Digital Services
Artificial intelligence
12 months
Brazilian Health Secretariats
AI solutions can be used to increase effectiveness, such as optimization algorithms with scalable technologies, standardized quality protocols, control measures, and data security, using audits and advanced analysis to debug the implementation of technological solutions. Considering the potential for replication of the prototype in several areas, it is essential to highlight that, although the use is still speculative, the proposed solution can foster better practices for knowledge sharing for the following segments: health, image processing, business management, brain modeling, finance, recommendation system, natural language processing, information retrieval, language generation, question answering, dialogue system, cybersecurity, education, robotics, smart city, and secure machine learning.
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