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Expansion in AP 5.1 is completed with improved group training

Completed in November 2025, the expansion integrated the 170 AP 5.1 teams — managed by Gnosis — with an improved version of group training: finer grouping by category and concentrated training in a single laboratory, with more efficiency and speed.

In November 2025, MediRec completed the expansion in Programmatic Area 5.1, managed by the social organization Gnosis, integrating the 170 teams in the area.

An improved version of group training

Based on the format consolidated in AP 2.1, AP 5.1 refined the grouping by professional category, bringing each session closer to the way each profile uses the system. There were three groups: regulators and technical leads (RT) in one; doctors and nurses in another; and managers, nursing RT and community health agents in a third.

Eleven meetings, a single laboratory

The training was carried out in eleven meetings, all in the OTICS computer laboratory at Policlínica Manoel Guilherme da Silveira Filho, in Bangu. Unlike AP 2.1, divided between two locations, AP 5.1 concentrated all training in a single hub — which brought more efficiency and speed to execution, keeping the process consistent when reaching the 170 teams in the area.

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.

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.

A method that matures in each area

The group training format has been adjusting with each expansion: from the first version in AP 2.1 to the finer grouping by category and the concentrated execution of AP 5.1. Conducted during the same period as the expansion of AP 3.2 — which followed a different path, distributed across several units —, AP 5.1 shows the same method adapted to different territories.

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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