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.
OVERVIEW
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.
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.
Collaborate across your organization and across the broader ecosystem with access to leading cloud partners, services partners and product partners.
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.
See how the AI Data Cloud can support across the healthcare and life sciences ecosystem.
Use Cases
Support discovery & collaboration
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
Get a comprehensive view
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
Drive efficiency
Collect real-world data to measure real-world response to therapeutics in market and better identify potential patient cohorts more precisely.
Compliance
Snowflake supports leading, globally recognized public sector and commercial security standards to enable compliance and data protection.
CUSTOMERS
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.
Leading healthcare and life sciences organizations trust Snowflake
Ingest Structured and Unstructured Data
Power Business-Critical Analytics
Deploy AI and ML
Build and Discover Data, Models and Apps
Business Continuity and Resiliency
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.
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.
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.
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.
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.
From seasonality to historical machinery maintenance, analyze your time series data over specific time ranges to the nanosecond with SQL-native functions.
Empower employees of all technical abilities to run analytics using natural language built with state-of-the-art agentic orchestration and accurate retrieval.
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.
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.
Make data, models, apps, AI products and other organizational listings discoverable and accessible across the enterprise with Internal Marketplace.
Access thousands of live, ready-to-use data products to power business workflows across research, clinical, commercial, population health use cases and more.
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.
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.
Replicate your critical account objects to another Snowflake account in your organization in a different region in case of unplanned failovers.
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.
Guides
Build faster with production-ready quickstarts and cross-functional reference architectures. Explore proven agentic AI use cases for Healthcare Providers, Healthcare Payers and Life Sciences.
15 Results
Accelerate data access, drive secure collaboration and deploy AI across multimodal health data and the broader ecosystem.
Resources
Get Started
Snowflake for Healthcare & Life Sciences
Commonly asked questions and their answers to support your data and AI journey with Snowflake.
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.
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.
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.
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.
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.
Snowflake is compatible with many best-of-breed industry solutions, many of which are accessible via native apps and connectors in Snowflake Marketplace.
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.
