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AWS Developers | Store, transform, analyze, and access health data with AWS Health Services @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
As a highly regulated and complex industry in transition, healthcare and life science organizations are adopting machine learning to accelerate the pace of innovation, improve efficiency, and build a sustainable foundation for affordable, accessible, high quality healthcare. This starts with an end-to-end data strategy to store and access, analyze and visualize, and predict – to put that data to work to make better, more informed decisions, respond faster to the unexpected, and uncover new opportunities to deliver better care. Tune in to learn how AWS Health Services provides customers with purpose-built capabilities to store, transform, analyze, and access healthcare and life science data.

Learning Objectives:
* Objective 1: Spend more time building innovative clinical care and scientific research solutions, and less time building, maintaining, and operating foundational health data capabilities.
* Objective 2: Easily implement apps with interoperability, scale, security, and compliance for clinicians, scientists, and patients.
* Objective 3: Extract insights from multiple types of healthcare and scientific data including clinical records, genomic and other omics data, medical imaging, and unstructured medical text and speech.

***To learn more about the services featured in this talk, please visit: aws.amazon.com/omics
****To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Store-transform-analyze-and-access-health-data-with-AWS-Health-Services_2023_SN-0819-MCL_OD

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☁️ 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.

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Store, transform, analyze, and access health data with AWS Health Services @awsdevelopers

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