What Did I Do?: Innovation in the Anamnesis Process

Proceedings of The 5th International Conference on Modern Research in Engineering, Technology and Science

Year: 2022

DOI: https://www.doi.org/10.33422/5th.icmets.2022.02.35


What Did I Do?: Innovation in the Anamnesis Process

Mateus Augusto Mendonça de Resende, Luma Lima Fernandes Moreira, Deborah Figueiredo Costa, Isabella Caldeira de Sales, Julia de Oliveira Matias, Livia Nardelli Araújo, Luiza Gomes Mota, Mariah Silva Duarte, Rayza Vilela Pereira, Silvia Menezes Leão, Renata Duarte Mellim, Bráulio Roberto Gomes Marinho Couto, Luiz Melk de Carvalho, Diva de Souza e Silva Rodrigues, Flávio Henrique Batista de Souza



Would it be possible to use Cloud Computing, mobile solutions and Data Analytics to create a record of the entire medical history of an individual? Would it be possible to give to the patient the power to share information, so that they could be attended by any clinic or hospital? In order to use modern technologies to provide health care through the creation of a medical history and with a focus on assisting doctors in the diagnosis (providing a graphic record that enables the monitoring and analysis of frequent cases of symptoms), a solution ‘What Did I Do’ was developed that encompasses the previous mentioned technologies. Through this application, the registration of symptoms, exams, consultations and medicine for each user is performed, generating a graphical analysis of the well-being patterns of the patient. One of the contributions of this platform is the participation of doctors and patients in the process, however the power of sharing data is defined by the patient, who shares his information with the doctors they trust. On the other hand, the doctor, when taking care of the patient, has access to an updated history. An experimental study was developed where it was possible to glimpse the capability of the developed platform to store and use data to find patterns of behaviors and frequencies of events, to help and study pre-dispositions and disease prevention. This contribution of the tool is given by the standardization of data collection that enables the use of Machine Learning and Data analysis for optimized patient management.

keywords: Anamnesis, Cloud Computing, Mobile Solution, Prevention, What Did I Do?