Desarrollo e implementación de un sistema de Monitoreo Neonatal Inteligente mediante el uso de Big Data e Inteligencia Artificial

Abstract

[ES] The Big Data and Artificial Intelligence paradigm is causing radical change in many productive sectors. Likewise, these same principles can be focused on improving patient care and care, accelerating decision-making, achieving greater diagnostic accuracy through individualized data and optimizing resource management that boosts the productivity of professionals. However, for this to become a reality, it is necessary to have computer tools that integrate the considerable volume of data generated in health institutions into the different information systems. This integration is essential to be able to organize the subsystems logically and generate algorithms and indicators for decision making through artificial intelligence and data management architectures. Likewise, it is necessary that all this infrastructure be presented through a simple graphical interface and in real time that facilitates its interpretation and decisionmaking by professionals. iNeoM plans to develop an innovation project to use these tools in the neonatal intensive care unit (NICU), where monitoring is an essential pillar in the management of patients due to their clinical characteristics: low clinical expressiveness, significant physiological changes in the first days and important variability of its pathology that requires intensive and constant monitoring.