The focus of the knowledge synthesis project is to build a truly relevant tool to support diagnosis. This technology aims to integrate all of the patient's medical records, providing the possibility of analyzing information for screening, remote care, and/or referral to specialized treatment centers, through virtual care, allowing a detailed investigation of your case. Another possibility is monitoring by intelligent agents automatically indicating the status and the need for monitoring by the doctor himself. In this context, technology allows the transformation of clinical information into diagnostic knowledge, based on the vision of the specialist doctor to create more efficient diagnostic protocols in different areas of medicine.

Based on the identification of the current context, the idea is to create models of interactive communication protocols for each recognized diagnostic group and associated with those in progress. Each interaction carried out by the doctor can be inserted into the standard protocol, which can be automatic or require authorization to be sent.

Another possibility is interactive pattern recognition. When the AI ​​identifies a standard behavior in the interaction log that is not in the protocol, a request for its inclusion will be triggered. After the doctor's acceptance, this new pattern enters the radar of events to be applied due to the similarity of context, as well as all others previously included in the communication model in question. This way, we will have a specific self-constructive protocol for each situation. Returning to the collaborative scenario, protocols can not only be part of the doctor specifically but can be shared respecting the acceptance of the patient who owns the medical record. Thus, at health.eco.br the doctor would have the benefit of receiving help in a new dynamic for him that other colleagues have already experienced.