EBOOK
The Basics: AI Data Cloud for Healthcare & Life Sciences
Learn key features of the AI Data Cloud for Healthcare & Life Sciences.
Industry Solutions
AI Data Cloud forHEALTHCARE & LIFE SCIENCES
Build a robust AI and data foundation — grounded in industry standards like HL7/FHIR, OMOP, FAIR, GxP and TEFCA — to unlock insights across all your multimodal data with trust and interoperability. Accelerate key business workflows to improve patient outcomes, accelerate research, optimize supply chains, reduce operating costs and more while meeting strict compliance.
Leading healthcare and life sciences organizations trust Snowflake
OVERVIEW
Modernize your enterprise data and AI strategy
Easily access and integrate all your multimodal health data, tap into a connected ecosystem and deploy AI with ease — while accessing Snowflake’s out-of-the-box security and governance capabilities.
Deploy AI for healthcare and life sciences in hours, not months
With access to industry-leading LLMs and agentic products, it’s never been easier for healthcare and life sciences organizations to get started with AI initiatives.
Become a part of a connected healthcare and life sciences ecosystem
Collaborate across your organization and across the broader ecosystem with access to leading cloud partners, services partners and product partners.
Leading healthcare and life sciences organizations trust Snowflake
With security, compliance and governance at the foundation of Snowflake’s AI Data Cloud, healthcare and life sciences organizations can tackle critical business processes with confidence. Snowflake supports compliance with HITRUST, HIPAA, GxP and FedRAMP High to handle your most sensitive data with ease.
Solutions
Data and AI IntelligenceEnable Improved Health Outcomes
Support discovery & collaboration
Use multimodal data, analytics and AI to speed up research and development
Aggregate siloed research, clinical, site data and more for faster time to insight on Snowflake’s unified, fully managed platform.
Collaborate better across trusted research environments thanks to Snowflake’s interoperability and built-in, secure data collaboration capabilities.
Develop more personalized therapeutics faster with AI-powered modeling and advanced analytics.
Improve accuracy and resiliency
Build resilience and visibility across your supply chain
- Develop a longitudinal view across your entire supply chain by aggregating disparate data inputs.
- Better anticipate supply and demand — and respond faster to potential disruptions — thanks to Snowflake’s streaming and batch data ingestion capabilities.
- Collaborate securely with supply chain partners and take advantage of third-party data products.
Get a comprehensive view
Create holistic patient and member profiles
Care teams can unify and aggregate structured, unstructured and semi-structured data to develop a longitudinal view of patients and members.
Make more informed decisions with the ability to access both historical and real-time patient data.
Deliver more personalized care plans, powered by built-in AI/ML features that help perform predictive analytics.
Facilitate better patient outcomes
Enable modern, value-based care
- Providers can use AI and ML to identify higher risk patient populations and tailor more preventative treatments to their unique needs.
- Improve health outcomes through predictive analytics that can anticipate disease progression and inform targeted interventions.
Drive efficiency
Launch and scale products more effectively with data and AI/ML
Collect real-world data to measure real-world response to therapeutics in market and better identify potential patient cohorts more precisely.
- Sales and marketing teams can augment first-party data with third-party data, apps and AI products from Snowflake Marketplace, allowing for more effective campaigns and more specific segmentation.
- Streamline your ability to predict sales and marketing ROI and effectiveness with more comprehensive data.
Compliance
Security and compliance built inso you can focus on patient outcomes
Snowflake supports leading, globally recognized public sector and commercial security standards to enable compliance and data protection.
CUSTOMERS
Leading companies build with Snowflake
AI-Driven Data Cuts Time, Boosts Innovation & Saves Lives at AstraZeneca
AstraZeneca leveraged Snowflake to accelerate data product creation, drive $10M+ in productivity savings, and enable AI-driven innovations that improve early disease detection and patient outcomes.
- 4 days data product dev time previously 6 months
- $10M+ productivity savings unlocked
Bupa Creates a Healthier and More Innovative Data Ecosystem with Snowflake
Unified data and new AI use cases help Bupa become even more customer-centric and connect patients to the treatments they need — faster than ever before.
- 90% reduction in data ingestion times
- 99.9% availability for contact center data
NYC Health + Hospitals Elevates Care for New Yorkers Experiencing Homelessness
Snowflake’s AI Data Cloud is at the core of NYC Health + Hospitals’ data hub, which provides timely patient insights for supporting New York’s vulnerable populations.
- 5MIN to equip users with updated membership data — down from five days
- 100B+rows of healthcare data in Snowflake provide a holistic view of patients
Sanofi Accelerates the Analysis of Real-World Clinical Data with Snowpark
By replacing their managed Spark solution with Snowflake, Sanofi has accelerated data processing and lowered total cost of ownership — all while ensuring compliance and data governance.
- 50% improvement in performance vs. previous managed Spark solution
- 100M patient records per cohort, processed in four minutes on average
Alberta Health Services ER Doctors Automate Note-Taking to Treat 15% More Patients
Alberta Health Services turned to Cortex AI to develop and run an app all within Snowflake’s secure, fully governed environment. The app — which consists of recording patient interactions, transcribing and then summarizing them, all within Snowflake’s secure perimeter — has enabled doctors to spend more time in front of patients and less time in front of a computer.
- 10-15% more patients seen per hour
HEALTHCARE AND LIFE SCIENCES
POWERING THE END-TO-END DATA + AI LIFECYCLE
Ingest Structured and Unstructured Data
Power Business-Critical Analytics
Deploy AI and ML
Build and Discover Data, Models and Apps
Business Continuity and Resiliency
Streamline multimodal health data ingestion
Snowflake Openflow — built on Apache NiFi — brings together batch and streaming, structured and unstructured data, whether it lives in third-party apps, PDFs or videos.
Code and automate pipelines with confidence
Meet data SLAs and automate repetitive tasks by focusing on outcomes instead of infrastructure, plus free your teams of operational overhead through native data engineering capabilities and integration with open standards.
Process and extract information from unstructured text
Document AI can prepare pipelines for continuous processing of new documents of a specific type, such as scientific documentation, as well as extract information from entities or tables based on the list of specified columns.
Run analytics on data outside of Snowflake
With seamless interoperability, query both managed and unmanaged Iceberg tables with Snowflake and benefit from Snowflake's performance, security and governance across open table formats, ensuring a consistent, secure experience across all data.
Transform multimodal health data
With AISQL, turn everyday data analysts into AI engineers without complex coding. Transform any data type — from x-ray images to call center transcripts — into insights using SQL. Unlock capabilities like classification, summarization, extraction, sentiment analysis, translation and more.
Optimize supply chain data
From seasonality to historical machinery maintenance, analyze your time series data over specific time ranges to the nanosecond with SQL-native functions.
Build agents and conversational apps
Empower employees of all technical abilities to run analytics using natural language built with state-of-the-art agentic orchestration and accurate retrieval.
Bring ML models to your data
Develop, deploy and monitor ML features and models at scale with a fully integrated platform that brings together tools, workflows and compute infrastructure to the data.
Tap into state-of-the-art LLMs
Meet your business needs by accessing industry-leading foundational models from OpenAI, Anthropic, Reka, Mistral and more at scale directly in SQL or via APIs.
Discover and access internal data
Make data, models, apps, AI products and other organizational listings discoverable and accessible across the enterprise with Internal Marketplace.
Integrate third-party data
Access thousands of live, ready-to-use data products to power business workflows across research, clinical, commercial, population health use cases and more.
Ensure data governance & security
Protect and audit your data, apps and models with data governance capabilities like tags and data lineage, and centrally apply granular access policies across all databases, schemas and tables.
Build a multi-cloud enterprise data strategy
Ensure business continuity and resiliency by building a multi-cloud, cross-region data strategy on Snowflake, which is available on major providers across numerous global regions.
Ensure account replication and manage failovers
Replicate your critical account objects to another Snowflake account in your organization in a different region in case of unplanned failovers.
Enable write-once-read-many semantics
Comply with industry-specific regulations with Snowflake Snapshots by creating immutable copies of data at specific intervals, ensuring consistency and reliability for time-based analysis.
SNOWFLAKE PARTNER NETWORK
EXPLORE THE BREADTH OF HEALTHCARE & LIFE SCIENCES PARTNERS IN THE AI DATA CLOUD
Accelerate data access, drive secure collaboration and deploy AI across multimodal health data and the broader ecosystem.
Resources
Explore resources for Healthcare & Life Sciences
Get Started
Take the next stepwith Snowflake
Start your 30-day free Snowflake trial today
- $400 in free usage to start
- Immediate access to the AI Data Cloud
- Enable your most critical data workloads
Snowflake for Healthcare & Life Sciences
Frequently Asked Questions
Commonly asked questions and their answers to support your data and AI journey with Snowflake.
What are the advantages of cloud solutions for healthcare and life sciences?
Cloud platforms give healthcare and life sciences organizations a secure, scalable foundation to unify data, reduce costs and accelerate innovation. The following are some of the key advantages organizations in this industry can take advantage of.
Aggregate siloed data: Eliminate data silos by unifying disparate sources (EHRs, claims, genomics) into a single source of truth. This produces better insights that power downstream use cases like care delivery and operational efficiency.
Tap into a connected ecosystem: Securely share live data with research and business partners without costly and risky data duplication. This speeds up clinical trial timelines, lowers research costs, improves marketing personalization, creates new opportunities for data monetization and more.
Ensure business continuity: Cultivate resilience with superior disaster recovery that protects critical systems from downtime. Cloud platforms also reduce capital expenditures by shifting to a predictable operational model while supporting strict HIPAA compliance.
- Leverage data and AI for ROI: Use your unified data to power AI and machine learning models. This allows you to deploy predictive analytics that lower operational costs, optimize supply chains and accelerate the drug discovery pipeline.
What are the use cases supported by data and AI in healthcare and life sciences?
Data and AI are transforming the entire healthcare and life sciences value chain, from drug discovery to patient care. Here are a few notable ones:
Accelerate research: Speed up drug discovery and development by using AI to identify promising therapeutic targets and optimize clinical trial design. This reduces time-to-market and improves the success rate of bringing new treatments to patients.
Improve supply chain effectiveness: Use predictive analytics to forecast demand for drugs and medical devices, track shipments in real-time and prevent costly stockouts. This enhances resilience, reduces waste and ensures critical products are available when needed.
Optimize care delivery: Deploy predictive models to improve hospital efficiency, such as managing patient flow, optimizing staffing and reducing readmission rates. AI can also identify patients at high risk for acute conditions, so care providers can intervene earlier and improve patient outcomes more easily.
Build complete patient/member profiles: Create comprehensive 360-degree profiles by unifying clinical, claims, genomic and social determinants of health data. This foundational view enables personalized care, more accurate risk stratification, and better member engagement.
- Enhance commercial effectiveness: Analyze marketing and sales data to better understand physician prescribing patterns and patient needs. This allows life sciences companies to optimize marketing spend and increase the effectiveness of new product launches.
How is artificial intelligence applied in the healthcare and life sciences industry?
In addition to the use cases above, AI can help increase efficiency, automate normally manual tasks and workflows and provide recommendations and suggestions that can impact patient care and member experiences.
How do I know cloud solutions will protect protected health information (PHI) and personally identifiable information (PII)?
Snowflake supports leading, globally recognized public sector and commercial security standards to enable compliance and data protection, including of PHI and PII. These certifications include the following:
HIPAA
HITRUST CERTIFIED
FEDRAMP
SOC2
GDPR
Learn more on Snowflake’s security hub.
What types of industries within healthcare and life sciences are supported by cloud solutions?
Cloud solutions can support an array of subindustries across the healthcare and life sciences sector, including healthcare providers, healthcare payers, life sciences (including medical devices and pharmaceuticals), healthtech and life sciences tech.
How does Snowflake integrate with my existing technical stack?
Snowflake is compatible with many best-of-breed industry solutions, many of which are accessible via native apps and connectors in Snowflake Marketplace.
Can Snowflake be used in environments validated for GxP?
Although regulatory compliance is the customer’s overall responsibility, Snowflake understands that there is some inherited, shared responsibility in those activities with it’s customers. To learn more about how Snowflake supports GxP workloads, please reference this documentation.
