After the initial phase of the ‘Cuidat-e’ project, an app in which 7,500 participations were registered, the extension is extended to new use cases and will also be deepened by improving the functionality of the initial ones
The second phase of the project incorporates personalized monitoring, with ‘Big Data’ technologies and artificial intelligence, on pathologies with the highest prevalence and rare diseases
This is the ‘Big Data Personalized Medicine’ project that is developed jointly with the corresponding Department of the Generalitat Valenciana, with a budget of 5.8 million euros co-financed by FEDER funds
The health services of the Canary Islands and the Valencian Community continue to advance in the Big Data Personalized Medicine project that they are jointly promoting and which, in this second phase, seeks to develop a mobile health application focused on Artificial Intelligence and will incorporate personalized monitoring, with ‘Big Data’ and artificial intelligence on pathologies with the highest prevalence and rare diseases.
After the initial phase of the ‘Cuidat-e’ project, an app in which 7,500 participations were registered, in this second phase it extends the extension to new use cases and will also deepen the functionality of the initial ones.
The experience of the first phase will be very relevant both to improve the features of the ‘Cuidat-e’ app, which is now presented in a unified way for all its fields of healthy lifestyles aimed at volunteers from the general population, and to find solutions related to different pathologies, either those with the greatest impact or rare diseases, which due to their condition deserve special attention. In addition, in this second phase, interaction with professionals is expanded, in a triangular way with patients and also, with some tools to aid diagnosis and improve management.
Specifically, on January 26, the Tenerife Ethics Committee for Drug Research approved the extension of the study to ten new use cases (UC) that address different aspects of assumptions corresponding to various pathologies. The result of this pilot work will allow its subsequent scaling and generalization.
new assumptions
Among the assumptions incorporated, knowledge obtained through Big Data of patients suspected of suffering from rare diseases, candidates for prospective studies “in the real world”, with a greater risk of having an unfavorable evolution, of suffering persistent Covid or of having readmission, will be directly offered to professionals. following hospital discharge, so that they can be monitored more closely.
In this second phase, which has been awarded to the GMV entity, the ‘Smart Preconsultation’ interface function will also be incorporated, which aims to guide the patient in the narrative of their illness, to record the key data and provide them to the professional so that they can validate and complete them.
‘Home monitoring’ will also be carried out, which will make it easier for heart disease or diabetes patients to record their data from their own homes, generating alerts when they deviate from the expected values and ‘Therapeutic optimization’, which aims to help the patient reduce or even suppression of their treatment of benzodiazepines or oral antidiabetics linked to a commitment to improve their physical and emotional lifestyles.
Likewise, the case of ‘Smart Dictaphone’ will also be developed, which seeks to transcribe the essential data of the medical consultation into the history using the keyboard only for its validation or correction, and which will begin with the consultations of healthy children from 0 to 23 months. and with those of pre-anesthesia of non-complex patients. The assumptions also include the design of an efficiency calculation model for optimization and allocation of resources and task loads.
Expansion of the ‘Cuidat-e’ project
The second phase of this Big Data Personalized Medicine project began last December, once the initial phase was completed, which was focused on the development of the ‘Cuidat-e’ computer application and allowed the exchange of information from the participants. enrolled on nutritional habits, physical activity, mood, substance use-new addictions and situations of unwanted loneliness.
In this first phase, 7,500 participations were registered out of a total of 4,000 people from both autonomous communities who signed up for the project, since the same person might participate in different functionalities of healthy lifestyle habits.
For this second phase, it has also been agreed to expand and improve the five cases addressed in this first phase of the project, through the “Cuídat-e” app, incorporating new functionalities to the automatic analysis of lumbar Magnetic Resonance images with that of chest x-rays and the generation of personalized alerts 24 hours in advance in the section on the impact on health of environmental contamination.
For this expansion, which was not initially foreseen, an additional allocation of half a million euros will be allocated, which will also be covered by the FEDER co-financing (85% for the Autonomous Community of the Canary Islands and 50% for the Generalitat Valenciana).
Participants and new volunteers
The people participating in the first phase of “Cuídat-e” will receive a communication with the link to access the mobile app, to which new functionalities will be added. In the case of new volunteers, the possibility of joining this project for the first time will also be communicated through MiSCS, signing the online informed consent. Those people interested in more information regarding the project and participation can also access more information on the website of the Canary Islands Health Service (SCS).
Almost six million investment
This Big Data Personalized Medicine project has been possible thanks to the collaboration of the volunteers participating in the app, a large number of health professionals from the Canary Islands Health Service and the Department of Universal Health and Public Health of the Generalitat Valenciana. and the technologists of the winning companies.
The works have a budget of 5,833,774, of which the Canary Islands assume 3,833,774, 85 percent co-financed by FEDER, while the Generalitat Valenciana allocates 2,000,000, 50 percent co-financed by FEDER, within the framework of the FID Salud Program (Financing of Innovation from Demand), which is managed as a national authority by the Ministry of Science and Innovation.
