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Expansion in AP 3.3 is completed

Completed in May 2026, the expansion integrated the 192 AP 3.3 teams — managed by SPDM — with group training concentrated in a single hub, in ten meetings.

In May 2026, MediRec completed the expansion in Programmatic Area 3.3, managed by the social organization SPDM, integrating the 192 teams in the area — in the same period in which AP 4.0 was also expanded, under the same social organization.

Groups by usage profile

The groups were organized according to the system usage profile, in two compositions: one bringing together doctors, nurses, regulators and technical leads (RT); another, nursing RT, managers, community health agents and administrative teams.

Ten meetings, a single hub

The training was carried out in ten meetings, all at CAP 3.3 headquarters. Concentrating training in a single hub gave consistency to the process and allowed it to reach the 192 teams in the area in an organized way.

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.

From the first step to the consolidated method

AP 3.3 is one of the largest areas of the network, close to AP 3.1 — the first to be expanded. If AP 3.1, with 224 teams, was covered unit by unit over months, AP 3.3, with 192, was completed in ten meetings at a single hub. The contrast between the two measures how much the training method has matured throughout the expansion.

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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