DR.IA.gadget - AI health monitoring
- Funded by Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)
- Total publications:0 publications
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Key facts
Disease
COVID-19Known Financial Commitments (USD)
$181,654.7Funder
Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)Principal Investigator
Unspecified Debora BonatResearch Location
BrazilLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Supportive care, processes of care and management
Special Interest Tags
Data Management and Data SharingDigital HealthInnovation
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
The objective of the research is to produce content, develop ethical-normative standards and the AI architecture of a gadget that allows use in vulnerable patients, transmitting data and establishing alerts on both interfaces (patient-medical service), based on the detection of patterns adjusted for Covid-19 risk (respiratory rate, oxygenation levels, pulse rate, body temperature, blood pressure). In an environment of limited resources, in which thousands of people are vulnerable and where medical facilities are deficient in capacity, but where there is the possibility of access to a lot of data and standards, the use of AI can be a cheap component and with extremely successful results. favorable to the protection of life. The proponent research group was recognized in 2018 by the Supreme Court Federal Court, as the director of the innovation project with one of the greatest impacts on the Brazilian public administration (IA in the STF). The data and challenges are different in the face of the pandemic, but the conceptual bases for the use of AI are available. The parallel development of technological solutions will be necessary to make the AI architecture of the gadget viable, together with the development of ethical and normative standards for its application, in view of an environment that is still under-regulated for AI. Bureaucratic speed, reduction of human intervention in risky, repetitive, time-consuming activities and subject to unintentional human errors, precision, efficiency can be associated with the realization of the most noble rights, such as health protection and care for vulnerable groups.