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Flebo AI Reports

ML-driven health insights for 6000+ pincodes

Shipped
2024 – 2025
AI PMHealthTechML IntegrationCross-functional
120+
Lab Partners
6000+
Pincodes
↑
Booking Conversion

Problem Statement

Patients receiving lab results had no context to understand their health data. 60%+ of post-test calls were basic interpretation questions, overwhelming the support team and reducing platform NPS.

User Personas & Pain Points

Patients

Confusing lab results with no actionable guidance

Support Team

High volume of post-result interpretation calls

Doctors

Patients arriving for consultations without context on their results

Solution

Integrate ML-powered health insights directly into the patient's result view — surfacing plain-language summaries, trend analysis, and personalized doctor recommendations based on result patterns.

Goals & Success Metrics

  • Reduce post-result support calls by 30%
  • Increase patient satisfaction score for result experience
  • Drive 15% increase in follow-up consultation bookings

Feature Set

Plain-language Summaries: AI converts complex lab values into patient-friendly explanations
Trend Analysis: Compare current results against past tests to show trajectory
Doctor Recommendations: Suggest relevant specialists based on flagged biomarkers
Interactive PDF Reports: Downloadable, visually rich report with insights embedded
Risk Flagging: Highlight out-of-range values with severity indicators

Tools & Stack

ReactReduxSCSSREST APIsFigma

Outcomes & Results

Successfully launched across the platform serving 120+ lab partners and 6,000+ pincodes. Directly impacted booking conversion and user retention metrics. Managed full release cycle across engineering, data science, and QA.

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