OneMedical + Mount Sinai

Referral Scheduling

Building a B2C experience that enables OneMedical patients to access specialty care — a previously difficult, manual process — from anywhere, anytime.

My Role

Lead Product Designer & Researcher

Team

Sr. Product Manager
Technical Lead
4 Front-end developers
3 Back-end developers

Methods

Contextual inquiry
In-depth interviews
Affinity mapping
Opportunity solution trees
Sketching & wireframing
Usability testing

30%→100%

Patient outreach rate for issued referrals

+20pts

Conversion rate increase (32% → 52%)

60→82%

Average consumer satisfaction score

The Problem

Referral scheduling is a broken experience — across the industry

Easy access to referral scheduling is a significant driver of a health system's revenue growth, yet it continues to be a painful experience for most people seeking care. According to a 2018 report by Par8o, less than 25% of referrals issued by doctors in the US result in scheduled appointments. Before our team's involvement, only 32% of all referrals from OneMedical were converting to scheduled specialty appointments.

From the scheduling coordinator's perspective, the process was over-burdened with a high volume of incoming referral requests (~100–160 daily) for a team of just 4 coordinators. Their workflow contained many redundant steps and considerable context switching that left it prone to errors.

"Patients with referrals leave the OneMedical office confused about next steps they need to take to schedule and/or reluctant to go through those steps because they are overly complicated and time-consuming."

Process

From discovery to delivery

Problem Definition
User Research
Personas
Journey Maps
User Flows
Wireframes

User Research

Over four weeks, I created and led our research plan — conducting in-depth interviews with OneMedical patients who had previously scheduled referrals with Mount Sinai, as well as with scheduling coordinators to validate assumptions, understand staff-side pain points, and uncover opportunities for improvement.

I drove our partnership with OneMedical's Sr. Member Experience Manager and Sr. Product Manager to plan logistics and collaboratively interview patients across multiple Manhattan-based practices.

Affinity mapping patient pain points

Affinity mapping OneMedical patient pain points

Coordinator workflow research

Opportunity solution tree from coordinator interviews

Storyboarding

A storyboarding exercise performed by OneMedical patients to stack-rank their pain points — giving us a prioritized view of where friction was highest in their journey.

Elena & Elise storyboard
Storyboard photo
Madison storyboard

Personas

Research synthesis yielded two primary personas representing the two sides of the referral experience — the patient and the scheduling coordinator.

Entrusting Emily persona
Research Robbie persona
Entrusting Emily journey map

Entrusting Emily — patient journey map

Research Robbie journey map

Research Robbie — coordinator journey map

User Flows

Moving out of divergence, I started to converge ideas derived from research themes in the solution space — working with my Product Manager partner to hone in on key areas of improvement. Visual workflow maps were instrumental in aligning both patient and coordinator experiences.

Patient user flow wireframe

Low-fidelity wireflow of the OneMedical patient portion of the proposed solution

Coordinator flow

Scheduling coordinator workflow

Combined flow

High-level coordinator workflow overview

Solution

A seamless patient scheduling experience

The final product is a digital scheduling experience that enables OneMedical patients to easily book visits with specialists — anytime, from any device — while simultaneously streamlining the scheduling coordinator workflow and reducing manual overhead.

Since 2019, this experience has enabled OneMedical patients easy, anytime scheduling access and significantly reduced manual overhead for Mount Sinai staff.

Referral scheduling screen 1
Referral scheduling screen 2
Referral scheduling screen 3