Epic MyChart Redesign

2026

Reimagining patient experience in healthcare

first itinerary explorer and builder on the market

In an AI-driven world travel planning remains stuck in spreadsheets and notes, exposing a critical UX failure.

- Samantha Richards, Lead Product Designer

In an AI-driven world travel planning remains stuck in spreadsheets and notes, exposing a critical UX failure.

- Samantha Richards, Lead Product Designer

The travel itinerary app market continues to grow, yet most products optimize for inspiration not execution. While users can save places or view high level plans, few platforms support structured browsing, refinement, and reuse of complete itineraries created by others. As a result, detail oriented planners remain underserved, defaulting to spreadsheets and fragmented social research.

This gap revealed a clear UX failure: no product was designed around the needs of planners who value structure, speed, and control. This project focuses on designing a structured itinerary system that reduces time spent planning across multiple applications, lowers cognitive load and enables faster decision making through reusable, scannable plans.

The travel itinerary app market continues to grow, yet most products optimize for inspiration not execution. While users can save places or view high level plans, few platforms support structured browsing, refinement, and reuse of complete itineraries created by others. As a result, detail oriented planners remain underserved, defaulting to spreadsheets and fragmented social research.

This gap revealed a clear UX failure: no product was designed around the needs of planners who value structure, speed, and control. This project focuses on designing a structured itinerary system that reduces time spent planning across multiple applications, lowers cognitive load and enables faster decision making through reusable, scannable plans.

Role

Lead Product Designer

Responsibilities

End-to-end Product Design

Product Strategy

Qualitative research

Stakeholder management

Usability Testing

Team

1x Product Manager

1x Engineer

Impact

Reduced itinerary build time

Captured detail-oriented planners driving retention

Improved decision confidence

Fewer itinerary spreadsheet creation

Role

Lead Product Designer

Responsibilities

End-to-end Product Design

Product Strategy

Qualitative research

Stakeholder management

Usability Testing

Team

1x Product Manager

1x Engineer

Impact

Reduced itinerary build time

Captured detail-oriented planners driving retention

Improved decision confidence

Fewer itinerary spreadsheet creation

Problem area

Inspired to travel, overwhelmed to plan

Travel planning lived across social feeds, notes, and spreadsheets. The lack of structure turned inspiration into friction, driving hours of manual effort, high cognitive load, and frequent abandonment.

Current state of Travel Planning

Opportunity 1

How might we design a planning system that optimizes for scannability, clarity, and speed of decision making at scale?

Opportunity 2

How might we replace fragmented social search with a unified discovery experience for complete, reusable itineraries?

Redesign goals

What I aimed to achieve

Scheduling

Smarter scheduling that highlights the most relevant care actions first

Scheduling

Smarter scheduling that highlights the most relevant care actions first

Test Results

Allow travelers to organize an entire trip in one structured, flexible place.

Responsible AI

Ensure itineraries are easy to understand at a glance, especially on mobile.

Design decision 01 - Scheduling

Introducing intuitive scheduling for healthcare visits

The Appointments experience was redesigned to prioritize context aware scheduling, dynamically organizing options based on provider requests, recent visits, demographic signals (age and gender), and historical care patterns, while ensuring all recommendations remain within the patient’s provider network. The goal of this enhancement is to guide patients toward relevant care pathways without introducing cognitive overload.

The design leverages progressive disclosure and clear information hierarchy so recommendations feel supportive rather than prescriptive. The interface prioritizes upcoming visits first, followed by provider initiated requests, system generated recommendations, history based visit suggestions, and past appointments. This structure helps patients quickly distinguish what requires immediate scheduling versus care that can be deferred, improving clarity and decision confidence.

Top KPIs selected

Completeness

Full, end-to-end itineraries instead of fragments

Credibility

Social proof and real world usage signals surfaced early

Adaptability

Itineraries designed to be edited, saved, and built upon

Actionability

Clear pathways from discovery → itinerary building

Design decision 02 - Planning

Ditch the spreadsheet, plan a polished itinerary

Research showed that even after finding inspiration, travelers struggled to organize an entire trip in one place. Existing tools were either too rigid or too complex, pushing users back to spreadsheets, notes, and documents that were difficult to maintain, edit, and reuse.


I designed a structured yet flexible itinerary system that balances clarity with customization. The mobile first planning flow provides enough structure to organize a complete trip while preserving user control, removing the need for spreadsheets without introducing friction.

1. Structured itinerary framework

Guides users through a full trip timeline without enforcing rigid templates.

2. Lightweight customization

Enables easy reordering, editing, and duplication without breaking structure.

3. Mobile-first planning flow

Makes itinerary building fast, usable, and maintainable on the go.

Design decision 03 - Scannability

Designing itineraries to be understood at a glance

I explored two directions: information dense itinerary layouts that surfaced everything at once, and scannable layouts that emphasized hierarchy and progressive disclosure. After testing the prototype with our key persona, I chose clarity over density because travel plans are most often referenced on mobile, in motion, and under time pressure.


The scannable approach reduced cognitive load by surfacing what mattered most: day, location, and key activities, while allowing users to dive deeper only when needed. This helped travelers quickly assess trip readiness and feel confident the itinerary was complete.

Version 01: What I learned testing with travelers: dense itineraries failed on mobile

Learning 01

Poor hierarchy increased cognitive load: Travelers had difficulty understanding their plans quickly while on the move.

Learning 02

Incomplete itineraries appeared “done”: Without hierarchy, users assumed trips were complete when they weren’t.

Retrospective

Built for planners, not passive browsing

Before and After user testing

Impact

Retention & Engagement

Improved planner retention by eliminating multi-tool workflows, consolidating discovery, planning, and iteration into a single platform.

Retention & Engagement

Improved planner retention by eliminating multi-tool workflows, consolidating discovery, planning, and iteration into a single platform.

Planning Efficiency

Reduced average itinerary build time from hours/days to minutes through AI-assisted creation and structured templates.

Planning Efficiency

Reduced average itinerary build time from hours/days to minutes through AI-assisted creation and structured templates.

User Confidence & Output

Increased completion and share rates by enabling highly scannable, structured itineraries optimized for quick comprehension.

User Confidence & Output

Increased completion and share rates by enabling highly scannable, structured itineraries optimized for quick comprehension.