Grant-funded digital health teams

Evidence-ready workflows for grant-funded digital health work.

Show not only that community teams collected data, but that identified needs moved through review, referral, and follow-up.

Prepare a grant demo See platform workflow

Evidence pack

Workflow proof

Screening eventScreening submittedHuman review proofNurse validatedReporting packReport updated

Implementation story

AI safety postureHuman review requiredTechnical annexOffline draftClinical claimsNo autonomous diagnosis

Buyer pain

Grant teams need credible implementation evidence, but program data is often fragmented across forms, spreadsheets, dashboards, and narrative reports.

Value

What this team can prove with AfyaBridge.

Track the full chain from screening event to final follow-up disposition.The implementation story stays traceable from screening submitted to report updated.

Separate AI draft assistance from human clinical accountability.AI safety posture: human review required. AI supports summarization while people own decisions.

Create implementation-ready demos for proposals, technical annexes, and partner reviews.Teams can show the workflow, safety posture, reporting path, and remaining unresolved cases.

Build reporting packs around outcomes, unresolved cases, and workflow completion.Grant updates can include action taken, risk reviewed, and gaps that still need follow-up.

Buyer-specific workflow

Implementation proof pack

Package the operating story funders care about: what was found, who reviewed it, what action followed, and what remains unresolved.

01Workflow narrative02Traceable records03Human review proof04Outcome summary05Technical annex

Workflow fit

Start where the handoff is already breaking.

01Proposal demonstrations

02Implementation evidence packs

03Donor reporting preparation

04Digital health partner reviews

Implementation posture

Built beside existing health systems.

Positioned around accountable workflow closure.AI safety posture: human review required.Avoids unsafe AI diagnosis claims.Designed to integrate around existing data systems.

Next step