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TimeDoc Health—Redesigning a Care Coordination Platform

Improving usability, accessibility, and efficiency by restructuring how users navigate and interact with complex clinical information.


The Challenge

The care coordination platform had been in use for eight years without meaningful updates to usability or accessibility.  Care coordinators relied on extensive scrolling to find information, and the interface lacked a clear structure for navigating between tasks when patient needs shifted.

This resulted in inefficient workflows, unclear task ownership, and time spent on activities outside of core responsibilities.

My role

I led a human-centered design review of the platform, combining heuristic evaluation, interviews, shadowing, and workflow analysis. I paired qualitative insights with behavioral and clickstream data to identify where users were getting lost, what information they missed, and how navigation patterns impacted task completion.

These insights informed a modular redesign focused on clearer information hierarchy, navigation, and interaction patterns.

The result

We restructured the interface into clear "zones of work," reducing reliance on scrolling and making key information easier to find and act on. This reduced average call times by five minutes per patient interaction. That freed each coordinator to reach at least two more patients per day— a significant efficiency gain in a resource-strained call center.

By combining qualitative research with quantitative validation (including SUS scoring and clickstream data) we were able to both uncover hidden pain points and measure the impact of changes, strengthening alignment across product, engineering, and operations.

Research—Insights

Continuous Discovery

Conducted weekly interviews with care coordinators and enrollment specialists to understand real-world workflows, uncovering gaps between intended processes and day-to-day execution.

Image of an affinity diagram depicting trends all user feedback

Synthesis & Workflow Mapping

Synthesized findings into affinity and sequence models to identify recurring patterns and map how users moved through tasks. This revealed breakdowns in navigation, unclear task ownership, and points where users lost context or momentum.

Behavioral Data Analysis

Used FullStory click tracking to identify repetitive scrolling, underused features, and inefficiencies in how users navigated the interface. Paired behavioral data with follow-up interviews to understand the underlying causes.

bar graphs depicting user clicks on side navigation by quantity of clicks and by segment

Usability Measurement

Ran System Usability Scale (SUS) surveys before and after updates to measure improvements in usability across roles, tenure levels, and bilingual users, validating the impact of design changes.

chart depicting average SUS score of different user cohorts

pie graph showing responses to one SUS score question

Problem Framing

Key Findings

Analysis revealed that usability issues were driven by real-world cognitive demands and unpredictable workflows, not just interface design.

1. High cognitive load made information difficult to access and act on

Care Coordinators were effectively managing conversations like “distracted drivers,” splitting attention between patients and the interface. Important information was buried and required excessive scrolling, forcing users to split attention between the patient and the interface.

To cope, many users developed workarounds—tracking notes on paper during calls and transcribing them afterward—introducing inefficiency and risk of error.

2. The interface did not support unpredictable, real-world workflows

Patient conversations were inherently non-linear. Coordinators often needed to shift topics quickly—for example, moving from a routine check-in to addressing medication adherence when patients revealed financial or access challenges.

The system was not designed for this level of flexibility, causing users to lose context and increasing friction during critical moments.

These findings highlighted the need for a more modular approach to information hierarchy and navigation—one that reduced cognitive load and supported rapid task switching in real-world conditions.

Personas

Developed a persona library grounded in real user behaviors, experience levels, and attitudes to ensure design decisions reflected how care coordinators actually worked, not how the system assumed they worked.

Assertive Amy persona showing her archetypes, goals, frustrations, and quotes from user research

Anti-Patterns

The library also identified high-risk anti-patterns, such as workarounds that introduced inefficiency or risk when handling sensitive patient information. Highlighting these behaviors helped the team design against failure modes, not just optimize for ideal use.

Rebellious Robert persona showing his archetypes, goals, frustrations, and quotes from user research

Design Approach

Vision Sessions

Facilitated product and development workshops, ensuring user voices were central to brainstorming. Team

illustration of a flow model as decided upon by design team

Entire team collaborated on a new user flow.

Working out the logic

Team collaborated on understanding the most effective flow of data and potential choice sets.

Journey Map

Translated research insights into a shared understanding of the user experience

current and ideal journey maps

I created a journey map illustrating Care Coordinators’ workflow during patient calls.
The map highlighted moments of confusion, redundant actions, and emotional frustration, helping the team align on which parts of the process most urgently needed redesign.

Storyboarding

Aligned cross-functional understanding with low-fidelity storyboards, avoiding confusion around the term “wireframes.”

Sample of a simple story board style mockup of ui

Design System

Introduced atomic design methodology to unify colors, type, and components—establishing a predictable “physics” for the UI.

Design system sample:
sample from design system showing button specifications

Interactive Prototypes

Provided realistic interaction models, enabling the team to validate flows and styling before committing to build.

screen sample of a new patient home page designed to look more like a dashboard

Separated Calling functionality from patient data management functionality and surfaced actionable items so coordinators could quickly see what was going on with a patient and whether they needed a call.

Validation & Iteration

Remote User Testing

Care Coordinators completed real-world tasks in prototypes; click patterns revealed significant efficiency gains.

image of tested page with tester comment highlighted

Key Insights

Baseline assumptions of success validated.

table showing assumptions, their score, key learning and implications

Design Implications

Implications from user testing lead to improved design and functionality

table of observations and learnings paired with design implications

Phase 1: Create patient data managers—Event Manager

Event Manager: Replaced horizontal timelines with glanceable summaries.

Previous: Users wasted time and clicks
before view of patient timeline showing long horizontal bar

New: Events manager gave a full picture in one glance
image of patient events manager that allows 
                                              user to see all patient history at a glance

Phase 1: Create patient data managers—Medication Manager

Split adherence tracking from dosage editing, added searchable left-column navigation modeled after familiar email UIs. Coordinators called it “a great relief.”

Previous: Most hated feature rife with inconsistencies and unclear functionality.
sample of previous med manager that conflated functionality

New: Functionality clarified to become the most loved feature.
sample of new med manager that clarifies functionality

Patient Record Dashboard

Gave care coordinators a quick overview, cutting clicks and scrolls.

image of redesigned dashboard

Managers were moved to the left side to minimize need to move around the screen. "Show/hide" functionality made clearer.

SUS Scoring

Redesigned features consistently improved usability by 10+ points, with new features scoring in the “excellent” range.

image of sus scoring table showing all tests done and depecting improvement from baseline tests

Quantitative Monitoring

Ongoing FullStory analysis validated time savings and flagged adoption gaps for retraining or iteration.

image of journeymap showing user branching

Impact

  • Accessibility addressed: Redesigned workflows to support visual and motor impairments, ensuring usability across diverse user needs in a high-volume environment.
  • Efficiency gained: Reduced call time by ~5 minutes per interaction, enabling each coordinator to support at least two additional patients daily.
  • Usability uplifted: SUS scores increased consistently across redesigned features, reflecting clearer navigation and reduced cognitive load.
  • User trust rebuilt: Coordinators described updates as “what I’ve been asking for for years,” signaling stronger alignment between the system and real-world needs

Reflection

This work reinforced the importance of pairing qualitative insight with quantitative validation to drive meaningful product decisions. Continuous interviews surfaced where users struggled, while clickstream data and SUS scoring helped prioritize changes and measure their impact.

This combination made it possible to move beyond assumptions, align stakeholders around real user behavior, and demonstrate clear improvements in usability, efficiency, and trust.