Industry
Healthcare
Employer
Alinea Health
Timeline
2 months
Alinea AI Copilot — optimizing clinical workflows for physicians and patients through AI-driven automation
AI/LLM, API Integration, Workflow Automation
How I co-led the development of an AI-powered clinical assistant to eliminate documentation bottlenecks, enabling physicians to spend more time with patients and less time typing.
Outcome
83%
documentation time reduction (30min → 5min)
+50%
appointment capacity (8/45→ 12/30 consultations / min)
2.05x
AI suggestion adoption
Context / Problem
Alinea Health is a B2B2C health-tech in PMF validation, backed by Founders Fund and General Catalyst. A legacy, unstable back-office forced physicians to spend more than half of each visit (45 minutes) manually completing medical records, creating frustration for both doctors and patients. New B2B clients accelerated demand, creating a throughput bottleneck: beneficiaries waited up to two weeks for the first appointment. Reducing appointments from 45 to 30 minutes was critical, but documentation time made this impossible.
My Role
Product Manager co-leading the initiative: responsible for aligning product strategy with technical execution across a team of 4 engineers (2 back-end, 1 mobile, 1 AI) and 2 designers. Orchestrated integrations with the Mobile App and Back Office, prioritized technical delivery using data analysis (Metabase) to optimize the core metric: documentation time.
Discovery
Qualitative interviews and data analysis showed physicians spent >50% of each visit typing into the legacy system, with no time to review notes between patients. Accessing previous visit history during consultations was slow. Switching between windows (Whereby + EHR) broke the clinical flow. Market benchmarks indicated speech-to-text AI as a viable solution and a stepping stone toward future clinical intelligence capabilities.
Solution
New standalone clinical interface decoupled from the legacy back-office, embedding Whereby video calls in the same screen as the medical record, fully integrated with the React Native app and Mevo (a digital prescription platform used by 300+ healthcare institutions in Brazil). Real-time transcription captures physician–patient dialogue and generates an automatic post-consultation summary for physician review before closing the session. Initial plan was incremental rollout, but the first-month MVP exposed the need for full integration with scheduling and finalized medical records. Scope was adjusted for a complete go-live in 2 months.
Interfaces of the Alinea AI Copilot (dashboard, pre-consultation, consultation, post-consultation). After the AI generates guidance from the patient-physician conversation, the doctor reviews it and the patient receives it in the Alinea app and via WhatsApp immediately after the appointment.
