Moving Digital Health: Dr. Adrienne Leussa of 54gene

Takeaways

• Dyania Health uses AI to automate the chart review and abstraction process for clinical trials, saving time and improving efficiency.
• Synapsis AI, Dyania Health’s AI system, analyzes electronic medical records to identify patients who may be eligible for specific clinical trials.
• The match output from Synapsis AI provides a level of compatibility between patients and trials, helping physicians make informed decisions.
• Explainability is crucial in AI, and Dyania Health’s system provides granular explainability to physicians, allowing them to understand the reasoning behind the AI’s conclusions.

Chapters

00:00 Introduction and Background

03:00 Automating Chart Review and Abstraction

08:09 Matching Patients with Clinical Trials

12:16 Matching Output and Explainability

13:55 Synapsis AI vs. General Language Models

17:07 Feedback and Learning Over Time

21:52 The Problem of Inefficient Clinical Trials

25:47 Success Stories and Impact

29:43 Building the Dyania Health Team

38:09 Revolutionizing Clinical Trials

Our latest guest on Moving Digital Health was Kyle Kiser, CEO of Arrive Health, discussing how his company is empowering consumers with the information they need to make informed choices about where they purchase medications — and critically — how much they have to pay.

"64% of patients were going to avoid taking their medication or take it differently than prescribed because of cost… it's a massive impact on a patient's ability to fill their meds, take their meds to be compliant with that regimen, and treat their condition." Kyle Kiser

Watch the podcast video now, or download from any of your favourite podcast players.

Mike Lovas (Director of Design & Innovation at Healthcare Human Factors, UHN) appeared on Moving Digital Health to discuss key factors driving the need for innovative cancer care solutions, including: 

• The number of cancer patients confined to their homes
• Burden of individual health appointments on both patients and providers
• Understanding the patient’s trajectory and their pain points through the treatment process

Our discussion also explored remote patient monitoring and the unique asynchronous models currently being created by the Human Healthcare Factors team.