Episode 36: Tackling Health Inequities in Chronic Disease using AI/ML with Kanishka Rao, COO and Co-Founder of Carenostics
Slice of Healthcare Team
Jun 09, 2023
What you'll get out of this episode:
Listen in as host Tim Fitzpatrick chats with Kanishka Rao about the unexpected loss of his grandfather, who passed away from kidney disease, and how he was not aware he had kidney disease until his kidneys had already failed. Because of this, Kanishka and his father, Bharat, co-founded Carenostics with the goal of tackling the underdiagnosis, undertreatment, and health inequities of chronic disease. Carenostics’ vision is to transform healthcare into a data-driven paradigm where readily-available patient data is leveraged to make personalized patient recommendations for diagnostic and therapy decisions.
In this episode you’ll discover:
- Carenostics serves both physicians and patients by streamlining the diagnosis process for patients with chronic diseases and ensuring the patient is receiving proper diagnosis and more personalized treatment.
- How Kanishka and Bharat think about existing barriers to Carenostics short- and long-term success, including (1) provider friction; (2) changing workflows; and (3) cost.
- Technical questions that arise from using AI in these diagnostic settings, including around temporal stability, which refers to the question of keeping a model you’ve trained updated as you add new patients and guidelines to the data set. Questions also arise around bias adjustment and the cost of being wrong while using tools like generative AI to take on more and more of your administrative and decision making tasks.
- Carenostics just received the Bio-IT World Innovative Practices Award in 2023 alongside their partners at Hackensack Meridian Health for their AI approach to identifying undiagnosed CKD and activating clinicians at the point of care. Past winners include Astrazeneca, Merck, Regeneron, and Duke University.
- Kanishka and his team strive to change the status quo by shifting the way practitioners diagnose and treat patients to a more data-driven model where readily-available patient data is leveraged to make personalized patient recommendations for diagnostic and therapy decisions. This could save millions of lives through early diagnosis and intervention, and appropriate long-term treatment and care.
Final Frontier - 5 Questions in 50 Seconds
- Top Challenge: Talent / hiring
- Top Opportunity: Awareness / acceptance of AI
- Tech Trend You’re Following: Bias-adjusted AI
- Top Media Recs: Shoe Dog, by Phil Knight
- Healthcare / Tech Leader(s) you’re following: Aneesh Chopra
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