Banca de QUALIFICAÇÃO: ELIAS FARIAS DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ELIAS FARIAS DA SILVA
DATE: 25/09/2026
TIME: 16:00
LOCAL: Video conferência
TITLE:

Development of an Intelligent System for the Digitization and Automation of Anesthesia Records in Surgical Centers

KEY WORDS:

Digital anesthesia record; health information systems; anesthesia record; Anesthesia Information Management System.

PAGES: 60
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUMMARY:

The anesthesia record is one of the most important clinical documents in the surgical setting, bringing together information on anesthetic planning, physiological parameter monitoring, medications administered, and events occurring during the procedure. Despite its importance, manual documentation remains common practice in many hospitals, making the process susceptible to human error and compromising the consistency and completeness of records. Even when partial digital solutions are adopted, the lack of integration between hospital systems and medical devices prevents automated data entry and the consolidation of information into a single structured record.

Against this backdrop, this study proposes the Ficha Anestésica Digital (FAD), or Digital Anesthesia Record, a web-based Anesthesia Information Management System (AIMS) designed to digitize and automate anesthesia documentation in surgical centers, with support for integration with hospital information systems and medical devices. To inform the proposal, a systematic mapping study of the literature was conducted to identify the technological approaches, interoperability standards, and evaluation methods employed in similar solutions.

Based on the mapping results and the guidelines of the American Society of Anesthesiologists (ASA), the proposed solution includes modules for surgical scheduling, pre-anesthetic assessment, intraoperative documentation, and clinical decision support. It also integrates with hospital information systems to automatically retrieve patient data and with medical devices to automatically capture vital signs in real time.

COMMITTEE MEMBERS:
Presidente - 2180207 - ITAMIR DE MORAIS BARROCA FILHO
Interno - 2668551 - ANDRE MORAIS GURGEL
Interno - 3374361 - JEAN MARIO MOREIRA DE LIMA