AWS Startups

AWS Health Innovation Podcast

Technology EN ↓ 132 episodes

The AWS Health Innovation Podcast showcases entrepreneurs and investors who are driving progress in healthcare and life science across the globe.

Author

AWS Startups

Episodes

#7 Bronwyn Spira, Force Therapeutics 14.02.2022 32:56

Bronwyn Spira, CEO and founder of Force Therapeutics, shares her experience building high impact teams in healthcare, being early to digital pathways for care delivery, and serving multiple stakeholders in the healthcare universe effectively.

#6 Amihai Neiderman, Nym 10.02.2022 31:51

Amihai Neiderman, CEO and founder of Nym, shares his insights on the advantages of coming into healthcare as an outsider and how to build trust with customers as a way to cut through healthcare’s interminable sales cycles.

#5 Dr. Ryan Grant, Vori Health 10.02.2022 37:31

Dr. Ryan Grant, CEO and founder of Vori Health, shares his experience as a repeat founder and thoughts on what limits the healthcare system when it comes to developing new and innovative models.

#4 Edwin Miller, Sitka 10.02.2022 31:17

Edwin Miller, Chief Product Officer at Sitka, shares his insights on the role of technology in value-based care models and what we should be expecting from electronic health records.

#3 Sumeet Bhatia, Aiva Health 10.02.2022 26:56

Sumeet Bhatia, CEO and founder of Aiva Health, shares his thoughts on the role voice technology can play in reshaping the healthcare experience for patients, providers, and caregivers - whether that’s in the hospital, a senior living facility, or home.

#2 Aditya Bansod, Luma Health 10.02.2022 34:43

Aditya Bansod, CTO and co-founder of Luma Health, shares his perspective on how consumerism is rising in healthcare, how Luma scaled to meet the challenges of vaccinations for COVID-19, and why health tech startups should focus on driving top line revenue growth for their customers.

#1 Dr. Suchi Saria, Bayesian Health 10.02.2022 33:02

Dr. Suchi Saria, CEO and founder of Bayesian Health, shares her thoughts on the role of machine learning to derive insights from reams of healthcare data and how leading in academia differs from running a high growth startup.