synthesis architecture e2

Notas do episódio

https://architecture.synthesis.eco.br The super app synthesis.clinic is capable of performing the same functions as a conventional electronic medical record, such as anamnesis, physical examination, consultation of the results of laboratory tests and patient images, even medical management and diagnosis . The system has a single interface for a web platform or mobile application, using the Python programming language to develop the application layer logic. In this scenario, Vercel's cloud platform is proposed together with Next.JS, so that the model is hosted and fed through the data that will come from Aura DB. In the cloud, there are three information input ports: messages from the mobile interface; information through the Back Endi server APIs; and the Next/React client interface. The development of the presentation layer uses the Chakra graphics component library to assist with user interface layout and components. This project aims to integrate the clinic (or hospital) system and the mobile application through web services, so that data traffic between the systems can be carried out. The data layer is integrated through Cypher queries (CQL) applied directly to the graphs through paths. A classic example of a CQL query is the Shortest Path (shortest path between two nodes or concepts). The technological leap of a Graph DB is being able to perform queries that are impossible for conventional Relational banks for more complex cases, such as the itinerary of a transcontinental air trip. In this dimension, even the best relational DBMS such as Oracle and SQL server or Postgres cannot process certain queries. This fact is explained by the computational paradigm. Graph processing is more efficient for complex data. GDS (Graph Data Science) contributes to this point, creating specific properties in the nodes with metrics of their processing. This allows synchronization with the D3.js (Popoto) and NeoVis visualization APIs that will work on the intelligent Timeline generated by GDS. The knowledge synthesis project's interactive predictions and simulations utilize this innovative concept.