Master Data Architecture for Clinical Process Improvement
- Juan Gabriel Chumpitaz-Huarcaya,
- Universidad Científica del Sur,
Publication Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 2102-2107 (6 pages)Publication milestones
- Published - 2026
Publication status
Publisher
Institute of Electrical and Electronics Engineers Inc.Publication series
- Publication series name: Proceedings of the 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026
ISBN (Electronic)
9798331558512Publication IDs
- Scopus: 105037438733
Host publication title
Proceedings of the 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026Abstract
The health sector is characterized by the use of a high number of technological systems, from medical devices to information systems, within the information systems we have a number of applications, such as the use of programming languages, database managers, which makes it difficult to make decisions based on the data obtained in the reports obtained from the information systems, which allows to have information in individual reports by systems and is not centralized, which makes its analysis difficult, given this situation, a method is proposed to manage reporting and data analysis processes, based on an SQL statement integration platform and which is then stored in a new database, this procedure allows greater integration of information, concluding that the proposed methodology allows to improve the performance of reports and data analysis by improving information management in clinical environments.
