Healthcare Scheduling Ecosystem

Designing and evolving a multi-surface scheduling platform supporting millions of healthcare appointments.

Years
2024-Present

Company
Kroger Heath

Key Initiatives


Vaccine Selection Optimization

Problem
Customers struggled to understand vaccine options, eligibility requirements, and service differences—leading to hesitation and abandonment early in the flow.

Approach
I worked with analytics and product partners to identify where users stalled, then redesigned vaccine selection to reduce cognitive load and clarify decision-making.

Solution Highlights

  • Simplified option presentation

  • Clearer eligibility and service explanations

  • More confident handoff into appointment selection

Impact

  • Reduced early-stage confusion

  • Improved flow completion during high-volume periods

Before

After


Multi-Patient Vaccine Scheduling

Problem
The existing scheduler assumed one patient per appointment, making it difficult for families and caregivers to book together—especially during flu and COVID seasons.

Approach
I led the redesign of the scheduling flow to support multi-patient booking, coordinating closely with engineering, analytics, pharmacy operations, and compliance.

Solution Highlights

  • Streamlined multi-patient flow across devices

  • Reduced form repetition and unnecessary steps

  • Improved clarity around availability and constraints

Impact

  • 46% reduction in customer drop-off

  • +12% year-over-year increase in vaccines administered

  • +27% year-over-year market share growth during peak season


Appointment Time Selection Redesign

Problem
Customers lacked confidence when selecting appointment times due to unclear availability rules and inconsistent messaging across surfaces. Associates also faced downstream friction when expectations didn’t match reality.

Approach
I partnered with product, engineering, and analytics to rethink how availability and constraints were communicated—focusing on transparency without overwhelming users.

Solution Highlights

  • Simplified time-slot presentation

  • Contextual messaging explaining availability and restrictions

  • Alignment between customer and associate views to reduce rework

Impact

  • Improved appointment selection confidence

  • Reduced rescheduling and clarification at the store level

  • Established a reusable pattern for future scheduling flows

Outcomes & Impact

Across these initiatives, the scheduling ecosystem became:

  • Easier for customers to navigate

  • More resilient during peak demand

  • Clearer and more efficient for pharmacy and clinic teams

Key outcomes included:

  • Significant drop-off reduction

  • Increased vaccine volume

  • Improved operational alignment across teams

  • Scalable patterns adopted across additional services

What I learned

Designing healthcare systems at scale reinforced the importance of:

  • Treating workflows as interconnected systems, not isolated screens

  • Designing for both customers and the teams supporting them

  • Making constraints visible in ways that build trust, not friction

  • Partnering deeply across disciplines to navigate ambiguity

What’s next

Future opportunities include:

  • Expanding scheduling patterns to additional services

  • Further personalization based on user history and eligibility

  • Continued alignment between digital experiences and in-store operations