The Potential of Blockchain for Transforming the Urgent and Emergency Care

摘要

During the 1st Semester of 2018, at the Brazilian Aeronautics Institute of Technology (Instituto Tecnologico de Aeronautica - ITA), a successful Collaborative Interdisciplinary Problem-Based Learning (Co-IPBL) experience took place. At that time, more than 20 undergrad and graduate students from 3 different courses within just 16 academic weeks had the opportunity of conceptualizing, modeling, developing, and testing a Computer System based upon Big Data, Blockchain Hyperledger, Micro-services, and other emerging technologies for government and private organizations. This Co-IPBL was performed with the participation of a medical technical team from the Hospital of Clinics at the Faculty of Medicine of the University of Sao Paulo focusing in Urgency and Emergency Care. The purpose of this system was to aggregate data from actors, such as External Regulations of Heath Care, Hospital Internal Regulation, Hospital Emergency, Urgency Care, and Urgency Institutes, by integrating them into just one decision making process, to improve Urgency and Emergency Care. This academic research project was named in Portuguese Solucoes Tecnologicas Aplicaveis ao Gerenciamento de Informacoes Hospitalares Ostensivas com Big Data - STAGIHO-DB, meaning in English "Technological Solutions Applicable for Managing Ostensive Hospital Information with Big Data TSA4MOHIBD. Differently from other existing university systems, Research Centers, Governmental Agencies, Public or Private systems, this one was academically developed and tested in just 16 calendar weeks, applying Scrum Agile Method and Value Engineering. This research work was stored in a Google site and implemented as a Proof of Concept (PoC), by using emerging technologies, such as the Blockchain Hyperledger, a common database of health care information that doctors and providers could access. It represents one example of how to address the old problem of teaching, learning, designing, and implementing complex intelligent systems to solve health care problems, by collaboratively working with technical teams facing real problems of Urgency and Emergency Health Care.