DCE Image Capture.gif

Drug Container Image Capture

AI-powered image capture flow for pill bottles, designed to reduce friction in prescription entry and data accuracy.

Prescription Image Capture

Overview

Client: UnitedHealthcare | Status: Ideation

  • Problem: Users must manually enter long drug names in UnitedHealthcare’s Drug Cost Estimator (DCE) tool, causing errors and frustration.

  • Goal: Let users snap a photo of their pill bottle to auto-fill prescription details in the DCE—snap → confirm → done. Faster, more accurate entry.

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

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

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