Prescription Image Capture

Overview

Client: UnitedHealthcare | Status: A/B Test (August 2025)

  • Problem: Consumers spend 3-10 minutes manually entering lengthy drug names in UnitedHealthcare’s Drug Cost Estimator (DCE) tool, resulting in errors and frustration.

  • Goal: Enable consumers to enter their prescription drug information into the DCE drawer more quickly and easily.

  • Solution: With AI assistance, introduce prescription image capture to streamline drug detail entry, offering consumers a fast and more intuitive way to populate the DCE drawer.

  • Role and team: Led early UX ideation and concept development with product and engineering teams, assessing feasibility.

  • Impact: Boosted DCE task and flow completion by streamlining data input. Used AI to convert images into structured data, supporting strategic innovation.

  • Results:*

    • Improve DCE task completion

    • Improve DCE flow completion

    • Deliver strategic innovations

Benchmarking: product/barcode scanner apps

Early concepts

Happy path user journey

Design process and iteration highlights

  • Collaborated with product analysts to define goals, map the user journey, and explore relevant apps (Bobby Approved, Yuka, Think Dirty) for input capture patterns.

  • Flow: Search or snap a photo → confirm image → drug info auto-fills (e.g., Sertraline HCL).

  • Key Challenges:

    • Handling blurry images, duplicates, and hard-to-read labels

    • Ensuring user control — all entries require confirmation before saving

Screens:
1. Search or scan a drug, 2a. Photo capture, 2b. Confirmation, 3. auto-filled form, 4. saved drug list.

Next steps:

  • Run feasibility checks on OCR accuracy for common prescriptions

  • Prototype flow and test with users managing multiple meds

  • Explore HIPAA-compliant image retention policies