The health.eco.br proposes an intelligent model for the patient's virtual medical record. The main idea is that each person can have their own medical record in an application with their entire history of medical care (consultations, exams, hospitalizations, and diagnoses). The data would be owned by the patient and could be made available to doctors during consultations via a web interface. At the end of each service, the medical record would be updated through an automated integration process with the clinic or hospital system, permitted by the use of protocols used in the healthcare sector. The model stores information in concepts within a knowledge base through a system of intelligent agents.

new eco's main objective is to develop personal information systems with Graph DB integrated with next.js. Using the Neo4j Graph Data Science API with ML in Python together with Apache SparkX and Kafka tools, we are specifically interested in (D3.js and Neovis) to support the visualization of the knowledge synthesis platform's personal Graph DBs.

The basic idea is to provide a unified electronic space for people to store their personal information in intelligent Graph DBs. We created the new.eco.br digital ecosystem with smart filter tools and map visualization in our sintese.eco.br console that will bring added value to the project. The special interest is in using Timeline support integrated with the parameters generated by GDS (Graph Data Science). In this way, we intend to use the timeline visualization functionalities associated with the predictive parameters generated by AI. Thus providing possibilities of choice, and future simulation, to show users the positive impact of changes in their parameters (current situation).

For example, we want to show the positive impact on a person's health if they change their current (bad) habits to future (healthy) ones. This example can be used for different areas in people's lives: nutrition, supplementation, sleep, education, sports, relationships, etc. Thus, the focus would be to use the Timeline not only for the past but also for the future.

The electronic medical record is defined as a set of information about the patient, and their health status, including the medical care and treatments they received, maintained electronically and stored in such a way that they could be used by multiple health professionals integrated into a network. Commonly called medical records, it is considered an essential document for the care of individuals about their health and must provide all the necessary information to ensure that, through this, efficient care and continuity of treatments provided to the patient are possible.

It is also necessary to think about integrating the PEP (Electronic Patient Record) with other systems and equipment. The use of standards helps ensure that the data from the proposed system is structured to the point that it can be understood by other systems. With this, the need to use standards also emerged in the health area. They can be classified into patterns of identification; communication; content and structure; representation of clinical data; confidentiality, security and authentication; quality indicators, datasets, and guidelines.

In the project at health.eco.br, certification standards for electronic health record systems are used. An important standard applied in the system is HL7 (Health Level Seven), an international protocol for the exchange of electronic data in all healthcare environments, which defines not only the format of the message but also its contents, according to the circumstances in which they communicate. This protocol will be used to exchange the content (messages) of consultation information between health.eco.br and healthcare institutions through synchronous and asynchronous communication between healthcare systems.