https://architecture.synthesis.eco.br We believe that we can extend our super app concept to other areas, in addition to health, creating a unified console between the person and the environment: Next.js (Vercel); Neo4J (Aura DB); Cloud (GCP) for Apache (Spark/Kafka/Arrow); and Digital Ocen apps for AI with Python. In short, what a company would have the technology. It's annoying that people don't know the importance of having a professional technological structure that could be purchased for the price of a pizza a month. Instead of giving up your data on free platforms that win at both ends (client and content producer), they explicitly sell data that is not yours. And everything is fine. It is free! I might buy one more pizza this month. Culture is important, we believe that the current moment is a watershed. An important point regarding the modeling aspect of Graph DB schemas is their modification, based on the parameters targeted by the models built through GDS (Graph Data Science). Custom schemas can be created with nodes containing properties previously stored in relationships. This is because the Knowledge Engineer has specific needs. Customizations allow you to create the ML Pipeline and training or testing models in GDS. The records will be defined, according to analysis seeking to standardize information specified by the HL7 communication protocol for health systems. The file in the protocol model generated for communication will, therefore, have a single item, the patient, or the map with all its respective information related to the Graph DB, forming the structure of its schema adaptable to the structure of a JSON file. This is considered the main idea taken from the HL7 communication protocol, previously mentioned elsewhere. This process allows all relationships and conventional entities oriented to just a single record to be identified, providing the ability to integrate with external knowledge bases through mapping the relationship between internal and external concepts made possible by APIs for connecting to Graph DBs in the health sector, available at synthesis.clinic The electronic medical record mobile application is integrated with the cloud through a backend project, which allows registering the application using an “API key” identifier from the Next.JS project. Communication is carried out by queries defined within the control methods with the function of carrying out the process of searching/sending data for exchanged messages. Subsequently, its persistence is initiated from the integrated synthesis.eco.br web console (server and client) in the Next.JS language and then recorded in the cloud and finally synchronized in the Graph DB Aura, assembling the map of concepts and relationships that will form part of the patient's medical record.