Floodlight™ MS is an FDA-approved, digital medical device aimed at improving the conversation between people living with multiple sclerosis and their healthcare provider.

Context

Brief

Floodlight™ MS started as a tool for clinical studies on Multiple Sclerosis (MS). Participants would come to a research facility multiple times a week over a period of time and were asked to perform some activities on the Floodlight™ MS app under the supervision of a researcher. The data collected was then displayed within the app as well as a portal accessible to their healthcare provider. The main goal was to track and display the progression of MS over time.

In 2020, Roche decided to create a public version of Floodlight™ MS and by 2021, an MVP was launched both as a standalone app and as API components. The product evolved to be a way to provide more and more accurate information to the healthcare provider during consultations, which are often six month apart or more.

I joined the Floodlight™ MS team as a product designer at the beginning of 2022.

Core Team

Impossible logo 50px.svg

Yael Olivo - Product designer

Christin Kreml - Project manager

Jessica Camacho - UX/UI designer

Grace Nelson - Localisation manager

Roche logo blue 50px.png

Jean Philippe Guyon - Product manager

Geraint Davies - Behaviour Designer

Dario Motti - Evidence Lead

Gladys Resellmo - User researcher

Challenges

Moving from a clinical study to an unsupervised environment highlighted some important challenges, both on the patient and healthcare provider side. It also required many different teams (medical, data, engineering, translation, product, regulatory and legal) to work together and communicate.

Contextualise data

Healthcare providers could access patient data on the portal, but they lacked important context. A lower score on an activity could be caused by several reasons beyond cognitive degeneration, such as loss of sleep or physical pain.

I worked with the medical team to compile a list of symptoms and other relevant information that would help healthcare providers better understand the data. We co-designed a journal feature to log in physical status, mood, and symptoms.

Journal - input for physical status, mood, and symptoms

Journal - input for physical status, mood, and symptoms