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Key Outcomes in beta release
80%
users reported reduced anxietys
65%
increase in patient follow-ups
70%
users taking action within 24 hours
How We Imagined The Solution
We chose this solution to simplify lab reports, making them clear and actionable through AI, video, and data insights. Our goal: reduce anxiety, boost health awareness, and drive timely action.
Journey Ends
This project challenged me to think beyond design, adapt quickly, and stay focused under constraints, driving unexpected personal and professional growth. Here are the key takeaways.
✅ 90% faster report interpretation
✅ Clear, human-like doctor explanations
✅ Increased patient confidence & action
Strategic Design Leadership
Balanced Design, Product, and Research to align business goals with user needs, ensuring a seamless experience.
Simplifying Complexity
Transformed technical lab reports into AI-powered video explanations, making health data easy to understand and act on.
AI-Powered Innovation
Integrated AI-driven doctor videos, test grading, and predictive insights, turning static reports into interactive, actionable tools.
Impact-Driven Results
User research with 50 participants led to features that improved engagement, reduced anxiety, and increased proactive health actions.
Designing for Clarity
Simplifying complex medical data is challenging. Using visual hierarchy, plain language, and AI-powered videos made reports more accessible.
Cross-Functional Collaboration
Working closely with doctors, engineers, and product teams helped bridge the gap between medical accuracy, technical feasibility, and user experience.
Balancing Innovation & Feasibility
AI-driven features sounded great in theory, but real-world constraints required iterative testing and optimization for practical implementation.
User-Centered AI
AI should empower users, not overwhelm them. Research with 50 users showed that a human-like doctor video and clear test grading significantly reduced confusion and anxiety.
Key Highlights
Learning
By combining AI, automation, and design, we made lab reports simple, engaging, and actionable.
Tiny Details. Big Impact.
I read a book “Refactoring UI” four years ago, and some of its strategies have helped me make faster design decisions. Its practical insights on layout, typography, and visual hierarchy have guided me in creating clean, user-friendly interfaces.
Bite size videos to help user understanding the medical terms in simple language
Trend-line to understand and compare the health condition with the past data
Recommended actions to help user immediately to take next step to become healthy
Links and indicators to know more about the medical term to understand the result better
On screen test name to make sure that the user is following the conversation
Grade to understand the severity of the current condition
SmartReport AI – Transforming Lab Test Reports into Actionable Insights
Don’t stress yourself Get first opinion on your lab report.
Challenge
It’s seriously complicated
Medical Data Complexity
Ensuring AI accurately interprets lab parameters and medical nuances while avoiding misinformation.
AI-Powered Video Generation
Creating realistic, human-like doctor videos that deliver personalized and engaging explanations.
Data Privacy & Compliance
Handling sensitive health data securely while adhering to HIPAA/GDPR regulations.
Data Privacy & Compliance
Overcoming skepticism about AI-generated medical insights and ensuring clarity in communication.
The Objective
Build for Clarity and Accuracy
Accurate Data
Clear Actionable
Data Analysis
Easy Interface
Enhanced patient engagement and trust in healthcare providers
Imagine going for a full-body checkup and receiving your report, only to feel overwhelmed by medical jargon and uncertainty.
With Smart Report, an AI-powered video explanation breaks down your results in simple terms, guiding you through insights and next steps—turning confusion into clarity.
The Idea
Confusion to Clarity
Beyond Design Limits
SmartReport AI needed more than great design—it had to be valuable, feasible, and impactful.
Getting the Business Angle Right
I spent time understanding why this feature mattered. How would it improve user experience? How could it drive engagement or even impact revenue? By aligning with stakeholders early, I ensured that design wasn’t just solving surface-level problems but was tied to real business impact.
Bridging the Gap with Engineering
A great idea is useless if it can’t be built. I collaborated closely with engineers to figure out what was actually possible—from real-time AI video generation to data security and scalability. Getting technical input early helped us avoid dead ends and move faster.
Making Sure It Delivers Results
Good design should drive action. I worked with product managers to define success metrics—how many users engaged with the reports, took follow-up actions, or felt more confident about their health? Tracking this ensured that our efforts were making a real impact.
By stepping beyond design, I ensured SmartReport AI was not just a visually refined feature but a scalable, business-driven, and technically sound solution that truly empowered users.
My Role
10%
Head of Design
70%
Research and Design
20%
Business and Product
The Problem
Understanding lab test reports can be overwhelming, often leading to anxiety and uncertainty about the next steps.
Complex Medical Jargon
Traditional reports are filled with technical terms, making them difficult for non-medical users to interpret.
Lack of Guidance
Patients struggle with understanding test results and determining their next course of action.
No Contextual Data
Reports often fail to show trends or compare with past results, leaving patients without a clear health progression.
Limited Personalization
Generic lab reports lack customization, making it hard to relate results to individual health conditions.
Personalized Next Steps
AI suggests lifestyle changes, follow-ups, or doctor visits, so you’re not left wondering.
Helps you take action instead of just reading numbers, bridging the gap between diagnosis and treatment.
Turns lab results into clear, practical advice, improving health outcomes.
Doctor Video Explanation
AI-powered videos break down each test in clear, everyday language, reducing confusion.
Adjusts explanations based on your health history and test results for a personalized experience.
Feels like a real doctor guiding you, helping ease anxiety and improve understanding.
Easy-to-Read Test Grading
AI assigns color-coded labels (Normal, Borderline, Critical) for instant clarity.
Highlights key concerns so you know what needs attention first.
Encourages better health awareness and action by making results easier to interpret.
Health Tracking & Trends
Compares past and present test results to show progress or early warning signs.
Alerts you if something needs attention, preventing potential health risks.
Uses predictive insights to keep you informed and proactive about your health.
A
C
D
B
AI
The Process
For SmartReport AI, I balanced constraints with a UX Prioritization Model, splitting my role—10% Design Leadership for vision, 20% Product & Business for impact, and 70% Research & Design to ensure execution within tight limits.
KickOff
Discovery
Implementation
Iteration
Handover
Production
Brief
Alignment
Research
Paper Drawings
User Stories
Lo-fi solution
Viability Check
Desirability Check
Feasibility Check
UX Design
Visual Design
Prototyping
Testing
Improvements
Feedback
implimentation
Handover to Dev
Support to Dev
Checkpoint
UAT
Feedback
Stakeholder Management
The Design
We aimed to generate innovative ideas that elevate customer experiences and unlock new business opportunities, free from technical constraints.
Research
We aimed to generate innovative ideas that elevate customer experiences and unlock new business opportunities, free from technical constraints.
Key Insights
Understanding User Struggles
Interviews with 50 users revealed that 80% found lab reports overwhelming due to complex medical terms, leading to confusion and stress.
Need for Actionable Insights
75% of participants wanted reports to suggest clear next steps instead of just presenting numbers, emphasizing the need for AI-driven recommendations.
Demand for Health Tracking
70% expressed interest in comparing past and present results to track trends, highlighting the need for visual data comparisons and predictive insights.
Balancing User & Doctor Needs
Users needed simplified insights, while doctors required detailed metrics. A structured report format was necessary to cater to both perspectives.
We Picked 50 Participant and 10 Doctors from our customer base
Design Behind the scene
How We Transformed PDF Lab Reports into AI-Powered Videos
We automated the conversion of static lab reports into dynamic, AI-generated doctor videos, making medical data easy to understand.
Extracting Data from
PDF Reports
Generating AI-Powered Doctor Videos
Structuring & Interpreting Data
Assembling & Delivering The Video
Challenge
Lab reports vary in format and structure, making data extraction complex.
Challenge
Creating human-like explanations without requiring manual recording was difficult.
Challenge
Lab reports often contain technical medical terms that users find difficult to understand.
Challenge
Ensuring fast, automated, and personalized video generation.
Used Optical Character Recognition (OCR) (via Tesseract OCR & AWS Textract) to extract text and numerical values from PDFs.
Implemented AI-powered data parsing to recognize key medical parameters and organize them into structured formats.
Standardized lab test names using Natural Language Processing (NLP) models to ensure consistency.
Used Text-to-Speech (TTS) AI (Google WaveNet, Amazon Polly) to generate natural-sounding doctor narration.
Leveraged AI avatars (Synthesia, D-ID) to create lifelike doctor videos.
Combined dynamic animation tools (Adobe After Effects, Runway ML) to visually present data with charts & highlights.
Mapped extracted values to a medical knowledge base for context.
Used AI-driven classification models (TensorFlow, PyTorch) to assign color-coded test grading (Normal, Borderline, Critical)
Generated personalized insights by comparing values against medical reference ranges.
Automated video editing using FFmpeg & Python scripts to merge AI-generated narration, doctor avatars, and medical visuals.
Rendered videos in MP4 format and optimized for web & mobile delivery.
Integrated the feature into the app for on-demand access to AI-powered video reports.
Visual Design
The visual design of SmartReport AI is crafted to make complex medical data easy to understand while maintaining a professional and reassuring aesthetic.
