Making Sense of Health Data with Amazon HealthLake - AWS Online Tech Talks

Skip ad
8 Views

  • Thanks! Share it with your friends!

    You disliked this video. Thanks for the feedback!

awsdevelopers
Published
Health data is frequently incomplete and inconsistent. It is often unstructured, with information contained in clinical notes, laboratory reports, insurance claims, medical images, and recorded conversations across disparate formats and systems. In this session, learn how Amazon HealthLake can help you make sense of health data. Discover how AWS Partners and customers, from population health management to care infrastructure, are finding new ways to apply machine learning technology and unlock new insights to improve care.

Learning Objectives:
* Objective 1: Learn how to get started with Amazon HealthLake with an in-depth demo.
* Objective 2: Explore top features and use cases for healthcare and life science organizations.
* Objective 3: Hear about new Amazon HealthLake partners to help you get started.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/healthlake/
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Making-Sense-of-Health-Data-with-Amazon-HealthLake_2022_1001-MCL_OD Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices

☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS
Category
AWS Developers
Tags
AI, Machine learning, health
Be the first to comment