Chapters:
00:00 – 01:27 – Introduction
01:27 – 04:31 – How the role of data in HCLS has changed?
04:32 – 05:55 – What are the unique challenges that HCLS organizations face with a data strategy?
05:56 – 08:14 – Successful use cases where Data, and anayltics have improved patient outcomes
08:14 – 11:21 – How is AI being integrated in the day to day operations of those in the HCLS industry?
11:21 – 13:00 – How can HCLS organizations get started on this journey to leveraging data, analytics, and AI to improve outcomes?
13:01 – 14:06 – How can AWS help organizations get started on this journey?
14:07 – 14:43 – Closing
In this episode of DSU Khendr’a Reid, Principal Data and GenAI Strategy Specialist at AWS, speaks with Matt Pearson, Head of HCLS Business Development at AWS, on how healthcare and life sciences organizations can build effective data strategies in today’s rapidly evolving landscape. Since COVID-19, the industry has fundamentally changed how it leverages data for disease identification, response, and prevention.
We examine two transformative trends: Data and Analytics as well as AI/ML adoption in healthcare administration and evolving regulatory frameworks for sensitive data. Through real-world examples, discover how organizations are using technology to reduce physician burnout, improve clinical documentation, and manage chronic diseases more effectively.
Learn from success stories like Omada Health’s innovative approach to behavioral change and see how personalized medicine is becoming a reality through genetic-based treatments. We’ll address common challenges like data silos and interoperability, providing practical solutions for healthcare organizations at any stage of their data journey.
Perfect for healthcare leaders and technology professionals looking to drive innovation through data-driven strategies.
Learn more about Omada Healthcare: https://go.aws/3ErNsP3
Learn more about AWS Healthcare solutions: https://go.aws/3Cx1VbS
Learn more about data strategy with AWS: https://go.aws/3SgkoOX
Subscribe to AWS: https://go.aws/subscribe
Sign up for AWS: https://go.aws/signup
AWS free tier: https://go.aws/free
Explore more: https://go.aws/more
Contact AWS: https://go.aws/contact
Next steps:
Explore on AWS in Analyst Research: https://go.aws/reports
Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace
Join the AWS Partner Network: https://go.aws/partners
Learn more on how Amazon builds and operates software: https://go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #HealthcareData #AWS #HealthTech #AWSforData #DataStrategy #DataDriven #ArtificialIntelligence #MachineLearning #Analytics #Data #DataGovernance
