Healthy lighting in hospital

As part of the innovation plan developed within the framework of the Innovapeme 2019 call and with the collaboration of the Profesor Novoa Santos Foundation, through the ATIS research group, attached to the Institute of Biomedical Research of A Coruña (Inibic), we carried out a complete study of lighting in hospital environments.

Through different campaigns to measure the lighting conditions in different rooms, combined with other relevant sources of information, the study allows INSATI to advance one of its priority lines of research, which combines the latest advances in photonic technologies with light sensorization systems, IoT and DSS platforms.

This line of work aims to provide people who work or are admitted to a hospital with quality lighting in the different phases of the Day/Night cycle, also helping to save energy for the health system.

With this initiative we give continuity to our active collaboration with research groups in the technological and health field, looking for the valorisation and transfer to the market of the results of the research activity in Galicia.

ATIS Inibic

The ATIS (Advances in Telemedicine and Health Informatics) research group was created to help make decisions about health care. Specifically, its objective is to improve clinical practice, the functioning of the health system (allowing better access and providing high quality health care by increasing patient safety throughout the process) and to provide those involved in organisational and management decisions with the means to assess the impact that changes in the health system have on the results, quality, access, cost and use of services. Among its main objectives are

  • To promote patient self-management of the disease as a sustainable model of care.
  • To seek opportunities to improve the quality of care in the treatment and/or prevention of the different pathologies through information and communication technologies.
  • To obtain savings in costs, both material and human, through the prevention of diseases and the prediction of acute episodes.
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