CancerBase How might we collect and leverage patient data to improve - PowerPoint PPT Presentation

CancerBase

How might we collect and leverage patient data to improve patients’ lives?

Collecting Data

CancerBase CB needs more than makes an impact just users. It needs a through their data. community.

Branding is the way to a community. Red Bull National Geographic

CancerBase’s current branding Lack of uniformity Lack of clarity

Process of Rebranding

Defining the Community Data Primary scientists users Cancer mbc Caregivers Advocates patients Secondary users Oncologists

Understanding the Tools Infusion MedMind Atom HP SideEffects CancerBase.org

Branding Research What branding will be the most effective for CB in particular? To do this we began researching and developing a brand feeling, logo, and typeface.

Problem Definition: How can we create unified, welcoming, helpful brand that mbcp feel connected to?

Design Thinking is Iterative and Cyclical

We Need User Input Interviews with patients Ask about interpretation of branding & logos Observe interaction with wireframes Virtual Immersion Use case: #BCSM twitter chat We will observe themes or insights about what matters most to users by reading, exploring the threads of these posts.

Prototyping, Testing, & Implementing later…. This is what we will give you: Branding guidelines for CancerBase and any current or future applications in the CB Ecosphere A more effective website (as outlined by our design guidelines & problem statement) Branding implementation for Atom-HP and MedMind

How might we leverage patient data to accelerate discovery of patient treatment?

Who needs this data the most?

Oncologists Patients Researchers Follow NCCN guidelines Care mostly about their Develop treatments for ● ● ● those who need it most specific case Need to treat their ● patients Deep understanding of Typically not experts ● ● disease

PATIENT DATA DEVELOP NEW DRUGS NCCN GUIDELINES

High dimensional time series data M-TSNE c

High dimensional time series data PARALLEL PLOTS M-TSNE c

High dimensional time series data PARALLEL PLOTS M-TSNE MARKOV CHAIN VISUALIZATIONS c

High dimensional time series data PARALLEL PLOTS M-TSNE MARKOV CHAIN VISUALIZATIONS c

High dimensional time series data PARALLEL PLOTS M-TSNE MARKOV CHAIN VISUALIZATIONS c

Needs: Highly interpretable visualizations Drive decisions for new treatment development Capable of deep insights c

Next Steps: Immerse ourselves in the workflow of drug discovery researchers Design prototypes Build and implement a tool for Researchers c

Questions c