Generative AI in Healthcare & Life Sciences

AWS delivers the most comprehensive set of generative AI capabilities and industry-leading foundation models for healthcare and life sciences organizations. 

Accelerate innovations with generative and agentic AI
Leading healthcare and life sciences organizations trust AWS when scaling their enterprise-wide generative AI because of our proven security commitment and industry expertise.
AI and machine learning for healthcare and life sciences on AWS (0:49)
  • With AWS, you have the right tools for the job. Whether you’re building AI-driven care experiences, creating novel proteins for drug discovery, or democratizing advanced data analytics through natural language queries—AWS offers a comprehensive set of AI capabilities from chips to foundation models to applications, enabling rapid AI innovation.

  • AWS brings together robust data management, purpose-built AI services, and industry expertise—so you can move from idea to impact, faster. Explore, prototype, and launch impactful AI solutions with our extensive expert support network, including the AWS Generative AI Innovation Center, AWS Partner Network, and AWS Professional Services.

  • AWS secures your AI future with enterprise-proven protection and reliability—trusted by millions of customers worldwide. AWS provides end-to-end data governance capabilities and more than 146 HIPAA-eligible services and supports 143 security standards and compliance certifications, including HIPAA/HITECH, GDPR, and HITRUST.

AI starts with trust

With AWS, your data remains yours when using generative AI, with rigorous controls to meet data sovereignty and data privacy requirements, while built-in guardrails support the integration of responsible AI and safety. This all runs on the most secure and extensive cloud infrastructure for healthcare and life sciences workloads.

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LATEST NEWS

Latest generative AI news in healthcare & life sciences

Life sciences generative AI use cases

From R&D to clinical trials, life sciences organizations choose generative AI on AWS to improve efficiencies across the value chain. See below for some of the ways our life sciences customers are using generative AI today.

Therapeutic Target Identification and Validation

With generative AI, you can rapidly screen millions of potential drug candidates, simulate their interactions with target proteins, and evaluate their properties. AI agents with natural language interfaces democratize access to these computational tools and datasets, allowing researchers at all technical skill levels to use these resources and accelerate their research.
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Clinical Trial Protocol Generation and Enhancement

Generative AI can help streamline clinical trial protocol development by integrating data from various sources and in different formats, suggest appropriate study designs, and incorporate best practices and regulatory guidelines. Generative AI can also help you easily gather insights from clinical data through natural language searches to inform clinical trial protocol generation.
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Drug Manufacturing Reject Reduction

With generative AI, you can generate synthetic defect images to supplement training data used by digital twins, simulate scenarios of different manufacturing conditions, and generate visual predictions of potential future defects.
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Compliant Content Draft Creation and Review

With generative AI, developing regulated content can be streamlined and accelerated through natural language processing for compliant content generation and expanding your commercial, medical affairs, legal, and regulatory teams’ capabilities with enhanced data analysis, automated compliance checks, and comprehensive content validation.
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Self-Service Real World Data / Evidence Analysis

Generative AI based self-service analytics solution empowers life sciences enterprise users to query real world evidence with natural language, which the tool converts to SQL queries. This allows users to quickly find answers to research questions, identify the most relevant information, draw insights, and discover trends.
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Sales Team Effectiveness and Compliance

With generative AI, sales teams can input free text and flag risks by applying various rules and concepts and surface high-risk classifications to the sellers, managers, or a third-party for validation. The recurring flagging and coaching of potential risks improve compliance, field training, and supplements sales manager efforts.
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Life sciences generative AI customer stories

We are leveraging AI, which is estimated to deliver annual cost savings of $750M to $1B in the near term. Using AWS cloud services, Pfizer quickly deployed Vox, our internal generative AI, allowing colleagues to access large language models available in Amazon Bedrock and Amazon SageMaker.

— Lidia Fonseca, Chief Digital and technology Officer, Pfizer

VIDEO

Pfizer

Pfizer's Digital Transformation: Leveraging AWS and AI to Revolutionize Global Healthcare Delivery

Pfizer's Digital Transformation: Leveraging AWS and AI to Revolutionize Global Healthcare Delivery

Healthcare generative AI use cases

From developing foundation models for radiology to creating generative AI tools that enhance health plan member experiences, healthcare organizations choose generative AI on AWS to improve workforce efficiencies and patient care. See below for some of the ways our healthcare customers are using generative AI today.

Clinician Task Automation

With generative AI, you can automate clinician tasks like referral letter generation, comprehensive patient history summarization, patient inbox draft generation, and medical coding automation all integrated into your EHR system.
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Medical Imaging and Pathology Analysis

Generative AI can improve image quality, detect anomalies and patterns, generate synthetic images for training and data augmentation, and provide decision support by highlighting areas of concern, suggesting potential diagnoses, and offering explainable insights into identified anomalies.
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Ambient Listening and Clinical Note Generation

Generative AI can transcribe clinician-patient interactions, extract key details, and generate comprehensive notes integrated into EHR systems, which helps improve documentation efficiency and reduce administrative burden.
More on AWS HealthScribe »

Call Center Assistant

With generative AI, you can boost call center productivity by summarizing patient information, generating call summaries, and extracting key follow-up actions.
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Prior Authorization and Claims Process Automation

With generative AI, you can efficiently analyze documents and medial records related to prior authorization requests and claims to generate summaries, identify missing documentation, match claims to prior authorizations, and provide evidence-based recommendations for reviewers.
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Regulatory Compliance and Reporting Automation

With generative AI, you can proactively monitor compliance requirements and automate critical reporting processes, such as HEDIS report generation.
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Healthcare generative AI customer stories

Using AWS, our goal at Tufts Medicine is not only to redefine healthcare but to reinvent the way that it is delivered.

— Dr. Shafiq Rab
Chief Data Officer, System Chief Information Officer and Executive Vice President, Tufts Medicine

Tools to build and scale generative AI applications

Innovate faster with new capabilities, a choice of industry-leading foundation models (FMs), and infrastructure that pushes the envelope to deliver the highest performance while lowering costs. Explore more generative AI tools

The easiest way to build and scale generative AI applications with FMs.
Generate clinical notes from patient-clinician conversations.
Customize this generative AI-powered assistant for the needs of your business.
Build, train, and deploy FMs at scale.

Resources

Find additional resources to educate you on generative AI on AWS for healthcare and life sciences. 

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