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Tempus at it’s core is a genetic testing company (think 23 & me but more clinical) This puts Tempus in a position where it holds a ton of patient’s de-identified molecular data and clinical data such as their genetic makeup, demographics, diagnosis and more importantly Patient Reported Outcomes (PRO)

Opportunity statement

Use Tempus's in house Molecular and Clinical Data to help clinicians make a data-driven and successful treatment plan for their patients with Neurological and Psychiatric conditions

Business Goal
Be a market leader in the Psychiatry space for Precision medicine.
Success Metrics

Increase monthly test order rate from 875 to 1000

Increase PGx test order rate by introducing RWD which will be a key differentiator in a concentrated PGx market.

Increase adoption rate of Tempus Hub to 50%

Increase the adoption or usage of Tempus HUB, which houses RWD along with a number of Tempus offerings.

Solution spotlight
2a. Patient's Homepage showing a list of Medications
2b. Right Panel showing Time on Treatment
3.Card components
Understanding clinician pain points while creating a treatment plan

We knew we wanted to build a tool using clinical and molecular dataset to help clinicians make a better treatment plan. But what are our customers pain points?
To understand this, we first had to identify shortcomings in achieving a successful treatment plan. We conducted 5 user interviews with different User personas(Generalists, Experts, Nurse Practitioners, PCPs). We also used a platform called Sermo to gather quantitative research insights.

Following are the Key Takeaways
Drugs are usually selected through a process of trial and error

We started to ideate RWD with a strong hypothesis that drugs are selected through a process of elimination, putting the patients through excruciating emotional distress.
>70% of our clinicians said that their first treatment plans were either ineffective or harmful for their patients.

Reported a treatment plan is made during a patient's first visit

A clinician usually has 45 minutes to thoroughly understand and diagnose the patient's symptoms, review their medical history and create a treatment plan. Making it a herculean task to provide proper care for their patients.

Reported that expectation management of treatment plans for their patients is challenging.

Patients may become frustrated if they have unrealistic expectations about how quickly the medication will work or the extent to which it will alleviate their symptoms. Causing patients to stop taking medications prematurely.

Reported misdiagnosis is the main cause of treatment failure

Misdiagnosis can result in the prescription of medications or therapies that are not effective for the actual condition, potentially leading to unnecessary side effects or complications.

Reframing the Opportunity statement to address user painpoints

Use Tempus's in house Molecular and Clinical Data to help clinicians make a data-driven and successful treatment plan for their patients with Neurological and Psychiatric conditions

How might we...

How might we increase clinician confidence and efficiency while creating a treatment plan?

How might we help clinicians manage patients' treatment expectation?

How might we expand the clinicians point of view with regard to the patient's diagnosis?

Design Principles

Fit within existing workflow

Clinicians time is precious therefore making the tool seamless so it fits within their workflow is key for it's success.

Accelerate finding answers

Reduce the number of clicks to get to the information by providing 'to-the-point' information

Data integrity

Ensure that the data is accurately and honestly represented by using the right data visualization

Aligning on feature prioritization with stakeholders using Empathy mapping

I facilitated a workshop with key stakeholders to identify key solutions we wanted to build in our MVP. The final doc was socialized amongst the the stakeholders after

Empathy mapping to align with stakeholders
A simple data diagram for further alignment between stakeholders

The diagram below was shared with the company to share a high level functionality of the Real World Data tool. This shows what data points the algorithm will utilize to provide the results. And finally how this helps with push forward Tempus's mission

Empathy mapping to align with stakeholders
Optimal Treatment Options

Present a ranked list of most commonly used medications.

Problems it addresses
Trial and Error

Time on Treatment

Present how a drug affects this particular cohort. Show side effects, drug efficacy and molecular gene-drug interaction.

Problems it addresses
Unmanaged treatment expectations

Risk Prediction

Present a list of other co-morbidities that are closely related to the current diagnosis. Our hope is that this would act as a second opinion tool.

Problems it addresses

Decision #1: navigation style
Finding the right Information Architecture and Navigation style

Approach #1:

RWD exists as its own tab in the left navbar. This leads to a search screen where a user can input their specifications and get results.

We did not pursue this approach because:
A. This would be another workflow for our clinicians, taking valuable time away from their actual work. (Design Decision #1)
B. Since it is essentially a Search tool, it should be a subscription based payment model which would be a hard sell.

RWD exists as its own tab in the left navbar.

Approach #2:

RWD or what we are calling "Insights" exists as a tab within the Patient's profile. In this method the system auto populates the specifications for that particular patient and shares the results without additional input.

We pursued this approach because:
A. Calling it "Insights" humanizes the feature.
B. Gave us the opportunity to expand beyond RWD by providing insights into other offerings like Reports, PRO etc thereby increasing adoption rate (Business goal #2)
C. "Insights" is only visible for patients within Tempus HUB. As patients are only populated in the HUB when an order is placed, this would improve our test order rate. (Business goal #1)

Selected Option: RWD exists as a tab within the Patient's profile.
Decision #2: PAGE LAYOUT
Finding out who is the 'Hero' on the page

Time on treatment is the Hero?

A user can land on the patient page and immediately look at the list of drugs on the left and it's cause and affect on the right. This approach has lesser clicks and more data in the first page.

On conducting usability tests it became clear that this was secondary information and doesnt not need to be front and center creating an information overload.

Medication list on the left and Time on Treatment on the right taking more page realestate

Medication list is the Hero?

Medication list is presented first. User can click into this list which then opens an overlay that consists of Time on Treatment.

This reduced information overload and created more space to add insights other than RWD.

Selected option: Medication list is first presented which can be clicked to open a time on treatment overlay.
Finding the right Information Architecture and Navigation style to to fit a payment model

Choosing a suitable React library helped scope the design for me. We chose Vizx for this particular feature, this greatly defined the style and visual components that I can use.

Finally, selecting the right data visualization chart that aligns with the needs of the our users and business alike.

Below is an example of different designs we ran through to identify the right data style to share the Data completeness chart. Data completeness is how comprehensive or whole the data we are summarizing is.

Op-1: Using bars to signify if the source data is healthy or not
Op-2: Using a funnel chart to show Data completeness along with the identifiers on the far right
Op-3: A version of the funnel chart without any identifiers, that can be collapsed
Selected Option: An interactive funnel chart that can be clicked into to show more details
final design

As a designer and researcher on this project that lacked a current user problem, I had to first validate our assumptions. In this case, the question we tried to answer was: Do our clinicians use Trial and Error to tailor a treatment plan for their patients? If yes, is this efficient?
Once we validated these questions, we were able to reframe our thinking and create a product with a unique value proposition.