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Expansion in AP 3.2 is completed

Completed in November 2025, the expansion integrated the 126 AP 3.2 teams — managed by IGEDES — with group training distributed across five units in the area, in seven meetings.

In November 2025, MediRec completed the expansion in Programmatic Area 3.2, managed by the social organization IGEDES, integrating the 126 teams in the area.

Transversal groups

In AP 3.2, the groups were organized transversally, bringing together the front line in the same meeting: doctors, nurses, community health agents and managers together. Regulators and technical leads (RT) were trained separately, due to their specific use of the system.

Seven meetings, five units

The training was carried out in seven meetings, distributed across five units in the area: CMS Eliza Abrantes, CMS Milton Fontes Magarão, Clínica da Família Amélia dos Santos Ferreira, Policlínica Rodolpho Rocco and CMS Eduardo Araújo Leite Vilhena. In each unit, the meetings took place in the agents' rooms — in general, the spaces with the highest concentration of computers and available area. Taking the training to different points in the area brought the meetings of teams from each territory closer together.

As in other areas, the meetings were practical: each participant used MediRec in real time while the team demonstrated the flows. The sessions also served to resolve, on the spot, access and login issues, and to listen to the teams — whose observations continue to feed the continuous improvement of the system.

This format was also based on a practice already common on the network: multiplication. Professionals trained in the meetings become responsible for propagating what they learned within their team and their unit — informally, on a daily basis, and in a structured way in regular meeting spaces, such as the weekly team meeting and the monthly general meeting.

A method that adapts to each territory

Conducted during the same period as the expansion of AP 5.1, AP 3.2 showed how the group training format adapts to the reality of each territory: while AP 5.1 concentrated training in a single hub, AP 3.2 distributed it across several units. Different paths to the same principle — bringing professionals together to learn about the flows they use.

Human decision and protected data

MediRec’s artificial intelligence suggests priorities and checks criteria and documents, but qualification remains the professional’s responsibility — the clinical decision remains human. Because it deals with health data, MediRec operates as a data processor under network governance: it has no patient-facing interface, processes data only within the scope of the project and ensures its return or deletion within 30 days after the contract ends.

About MediRec

Developed by 2BLP Futuro Ltda., MediRec was conceived by Luana Moussallem, Matthias Hasler and Tarek Nabaa. Four principles run through the platform: complementarity, human decisions over AI, protected data and the network’s autonomy over its own technology. Conceived from practical experience in Brazil’s public health system, MediRec follows a simple method: a concrete care problem becomes a workflow, is tested in the field and only reaches the network after proving results in a real clinic.

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