discovering business and user needs


PROJECT CHALLENGES
How can we seamlessly migrate 100+ medical team members to a new EMR while scaling patient volume by x60?
PROJECT GOALS
Risk-aversion
A mistake made by the software could cause a clinician to lose their medical license. The medical team need a platform they can trust to deliver reliable, efficient care.
Efficiency
The medical team performs the same tasks and navigates the same flows daily. The medical team need design solutions that save them time so that they can interact with more patients.
design challenge
turns out, that's not legal! 🧑⚖️


CHALLENGE
After aligning on the direction of the EMR, we brought in our Legal team who informed us that too much automation compromises our products largest limitation: our EMR was not a medical device.
SOLUTION
My team spent time learning the requirements of a medical device, learning how we can operate around this restriction. We rolled back our automation solution to include some user intervention, requiring that the cinician manually submit the automation as a bulk action.
proposing my solutions
While requirements were still being written, I saw an opportunity to bring automation into a flow that required little personalizaton. I proposed centralizing clinician operational automations within a single location separate from the standard patient care experience.


Next, I proposed automating the entire outbound message: replacing variables in each template with patient data stored within the EMR. The clinician could apply various filters to target specific patients, then release the outbound message in bulk. Stakeholders approved of this idea, and we named this process "Bulk Actions".
Exploring automated solutions


It turned out that by referencing stored patient information, we were able to automate even more than anticipated. The system would automatically deny inelligible patients based on demographic parameters, removing the need for clinician intervention. We began exploring solutions to automate the entire process for approving lab requests and releasing lab results. Our final proposal would reduce the 2,950 interactions per patient per flow to 1 interaction total!
Taking automation even further

The first thing I explored was how to bring external medical team templates into the product (2-way messaging, outbound messages, after-visit summary, etc.). At first, I visualized this as a library of templated files that the medical team could insert into text fields and edit manually. While stakeholders liked this direction, it was brought to my attention that too much personalization increases the risk of human error. Human error would result in a clinician losing their medical license, or worse: harming, or even killing, a patient.
Reducing the tech ecosystem

Something like, this is a description
informing my design strategy


Utilized heuristic evaluation, contextual inquiry, and prototype usability testing to understand the legacy platform and lab testing service, existing medical team processes, and gather feedback on design ideas.
RESEARCH METHODS
RESEARCH GOALS
These methods were used to understand how the medical team interacts with patients; identify inefficiencies in medical processes; and help make our project goals more tangable.
RESEARCH RESULTS
The medical team utilized many different platforms beyond the legacy EMR, context switching between 3-5 windows including Zendesk, Microsoft Word, and more. Medical team utilized templates for patient communication, but spent large efforts in customizing messages. The process of sending the patient a lab test was in two parts: accepting/denying the patient request and releasing the lab test results. Each process required approximately 2,950 interactions (clicks, scrolls) per patient.
impact and reflection


23andMe's lab testing service nets 150+ new lab orders per week (updated 6/12/2026), even at a time when sales are low, saving the clinicians approximately 32+ operational hours weekly and enabling more time spent on patient care.
~32+ clinical hours saved weekly
Our automated solution reduced the amount of clinician interactions from 2,950 interactions per process per patient to 7 total interactions per process.
-99.7% medical team interactions for lab-related tasks


Two of our project constraints (human error and regulated environments) were more than just challenges—they were real fears for my team and I. When our technology can hurt someone, exploring creative solutions felt impossible. In inviting our medical team and legal team into our core whiteboarding sessions, my team was able to fill gaps in our experiences and reduce risk while aligning all our stakeholders.
Leaning on domain experts and treating legal as product partners

23ANDME
Clinical Portal: Lab Testing Employee Pilot
OVERVIEW
End-to-end design for the clinician-facing Electornic Medical Record (EMR) system. Strategized and launched a platform that enabled clinicians to treat patients at scale within a regulated environment.
ROLE
End-to-end product design
DURATION
2021-2022
TEAM
1 PD (me), 3 PM Leads, 4 Medical Team Leads, 2 (ENG) Team Leads, 2 Principal Engineers, 2 Front-end Engineers... and many more.
about the project
After acquiring Lemonaid Health Inc. in 2021, 23andMe began redefining its product strategy, pivoting into personalized healthcare. By prioritizing disease prevention, 23andMe aimed to help patients understand their genetic predispositions and deliver tailored guidance to reduce and even eliminate health risks.
Our first attempt at this new direction was through the introduction of at-home blood lab testing. Stakeholders were divided with some calling for automation to account for 23andMe's 18M customers, while others called for better personalization to improve the quality of patient care.
I was tasked with designing an in-house EMR in this company-wide endeavor, migrating the medical team, and sunsetting the legacy EMR platform used at Lemonaid Health.

discovering business and user needs

PROJECT CHALLENGES
How can we seamlessly migrate 100+ medical team members to a new EMR while scaling patient volume by x60?
PROJECT GOALS
Risk-aversion
A mistake made by the software could cause a clinician to lose their medical license. The medical team need a platform they can trust to deliver reliable, efficient care.
Efficiency
The medical team performs the same tasks and navigates the same flows daily. The medical team need design solutions that save them time so that they can interact with more patients.
informing my design strategy
RESEARCH METHODS
Utilized heuristic evaluation, contextual inquiry, and prototype usability testing to understand the legacy platform and lab testing service, existing medical team processes, and gather feedback on design ideas.
RESEARCH GOALS
These methods were used to understand how the medical team interacts with patients; identify inefficiencies in medical processes; and help make our project goals more tangable.
RESEARCH RESULTS
The medical team utilized many different platforms beyond the legacy EMR, context switching between 3-5 windows including Zendesk, Microsoft Word, and more. Medical team utilized templates for patient communication, but spent large efforts in customizing messages. The process of sending the patient a lab test was in two parts: accepting/denying the patient request and releasing the lab test results. Each process required approximately 2,950 interactions (clicks, scrolls) per patient.

proposing my solutions
While requirements were still being written, I saw an opportunity to bring automation into a flow that required little personalizaton. I proposed centralizing clinician operational automations within a single location separate from the standard patient care experience.

Something like, this is a description

Something like, this is a description
Reducing the tech ecosystem
The first thing I explored was how to bring external medical team templates into the product (2-way messaging, outbound messages, after-visit summary, etc.). At first, I visualized this as a library of templated files that the medical team could insert into text fields and edit manually. While stakeholders liked this direction, it was brought to my attention that too much personalization increases the risk of human error. Human error would result in a clinician losing their medical license, or worse: harming, or even killing, a patient.
Exploring automated solutions
Next, I proposed automating the entire outbound message: replacing variables in each template with patient data stored within the EMR. The clinician could apply various filters to target specific patients, then release the outbound message in bulk. Stakeholders approved of this idea, and we named this process "Bulk Actions".


Taking automation even further
It turned out that by referencing stored patient information, we were able to automate even more than anticipated. The system would automatically deny inelligible patients based on demographic parameters, removing the need for clinician intervention. We began exploring solutions to automate the entire process for approving lab requests and releasing lab results. Our final proposal would reduce the 2,950 interactions per patient per flow to 1 interaction total!
design challenge
turns out, that's not legal! 🧑⚖️
CHALLENGE
After aligning on the direction of the EMR, we brought in our Legal team who informed us that too much automation compromises our products largest limitation: our EMR was not a medical device.
SOLUTION
My team spent time learning the requirements of a medical device, learning how we can operate around this restriction. We rolled back our automation solution to include some user intervention, requiring that the cinician manually submit the automation as a bulk action.


impact and reflection

-99.7% medical team interactions for lab-related tasks
Our automated solution reduced the amount of clinician interactions from 2,950 interactions per process per patient to 7 total interactions per process.
~32+ clinical hours saved weekly
23andMe's lab testing service nets 150+ new lab orders per week (updated 6/12/2026), even at a time when sales are low, saving the clinicians approximately 32+ operational hours weekly and enabling more time spent on patient care.
Leaning on domain experts and treating legal as product partners
Two of our project constraints (human error and regulated environments) were more than just challenges—they were real fears for my team and I. When our technology can hurt someone, exploring creative solutions felt impossible. In inviting our medical team and legal team into our core whiteboarding sessions, my team was able to fill gaps in our experiences and reduce risk while aligning all our stakeholders.

other case studies


End-to-end design for the clinician-facing Electornic Medical Record (EMR) system. Strategized and launched a platform that enabled clinicians to treat patients at scale within a regulated environment.
OVERVIEW
1 PD (me), 3 PM Leads, 4 Medical Team Leads, 2 (ENG) Team Leads, 2 Principal Engineers, 2 Front-end Engineers... and many more.
TEAM
End-to-end product design
ROLE
2021-2022
DURATION
Clinical Portal: Lab Testing Employee Pilot
23ANDME
End-to-end design for the clinician-facing Electornic Medical Record (EMR) system. Strategized and launched a platform that enabled clinicians to treat patients at scale within a regulated environment.
OVERVIEW
1 PD (me), 3 PM Leads, 4 Medical Team Leads, 2 (ENG) Team Leads, 2 Principal Engineers, 2 Front-end Engineers... and many more.
TEAM
Clinical Portal: Lab Testing Employee Pilot
23ANDME
End-to-end product design
ROLE
2021-2022
DURATION
about the project
After acquiring Lemonaid Health Inc. in 2021, 23andMe began redefining its product strategy, pivoting into personalized healthcare. By prioritizing disease prevention, 23andMe aimed to help patients understand their genetic predispositions and deliver tailored guidance to reduce and even eliminate health risks.
Our first attempt at this new direction was through the introduction of at-home blood lab testing. Stakeholders were divided with some calling for automation to account for 23andMe's 18M customers, while others called for better personalization to improve the quality of patient care.
I was tasked with designing an in-house EMR in this company-wide endeavor, migrating the medical team, and sunsetting the legacy EMR platform used at Lemonaid Health.


