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Treatment adherence monitoring using IoT devices

Grant number: 23/02544-0
Support Opportunities:Research Grants - Innovative Research in Small Business - PIPE
Duration: April 01, 2023 - March 31, 2024
Field of knowledge:Health Sciences - Pharmacy - Medicines Analysis and Control
Convênio/Acordo: FINEP - Centelha SP Program
Principal Investigator:Fernando César Bizerra
Grantee:Fernando César Bizerra
Host Company:Renovationmed Tecnologia Ltda
CNAE: Suporte técnico, manutenção e outros serviços em tecnologia da informação
Atividades profissionais, científicas e técnicas não especificadas anteriormente
Aluguel de máquinas e equipamentos não especificados anteriormente
City: São José dos Campos
Pesquisadores principais:
Cristiano Rocha Meneguello
Associated grant(s):23/03855-9 - Treatment adherence monitoring using IoT devices, AP.PIPE
Associated scholarship(s):23/07608-6 - Treatment Adherence Monitoring using IoT Devices., BP.TT
23/05672-9 - Treatment Adherence Monitoring using IoT Devices., BP.TT


Today, the portion of individuals over 60 years old already represents more than 30 million people in our country. It is known that a large part of these individuals have chronic diseases and need to continuously use medication, often with complex therapeutic regimens, which represents a significant barrier to treatment adherence. RenovatioMed is a Healtech startup that aims to solve the problem of medication adherence among elderly and chronic patients. This is an age-old problem for the entire healthcare system, which has an impact on the quality of life of patients and, consequently, affects the progression of healthcare expenses for both public and private systems. To solve this problem, we have developed an electronic medication organizer with IoT technology to monitor patients' medication intake. It is a device that emits sound and light alerts to assist the user in identifying the correct time to take their medication. Our web platform collects all this data, providing valuable information on medication intake times, intake errors (forgetfulness and use outside the programmed time/day), and other notifications received by users. (AU)

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