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Health & Life Sciences Solutions

Data integration and analysis for drug discovery, clinical trials, real-world evidence, and biomanufacturing across the healthcare value chain.

Solution by Palantir
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Overview

Palantir Health & Life Sciences Solutions is built on the Palantir Foundry platform, designed to help governments and private organizations turn complex health and biomedical data into actionable insights that improve patient outcomes and accelerate healthcare delivery. Foundry is used across the entire healthcare and life sciences value chain — from drug discovery and development through to manufacturing, marketing, and sales — and powers both fundamental and translational research for institutions such as the National Institutes of Health (NIH) and the UK's National Health Service (NHS).

Over the last decade, Palantir has worked with leading life sciences organizations worldwide, learning from their greatest challenges in managing biomedical data. The platform provides four core building blocks to accelerate digital transformation, and supports a wide range of specialized use cases across the life sciences sector.

Life Sciences Use Cases

  • The Connected Lab: Foundry enables organizations to build a complete 360-degree view of experimental, clinical, and analytical work across a laboratory or discovery group. By integrating and harmonizing information across high-throughput experimental methodologies and data modalities, hypotheses can be tested more quickly, deeper insights can be uncovered, and scientists can collaborate more effectively. Foundry has dramatically accelerated drug discovery workflows and uncovered novel repurposing opportunities by analyzing over a hundred million drug response curves generated over the last decade. It also integrates high-throughput screening and machine learning in a highly secure, collaborative data environment.
  • Real World Evidence (RWE): Foundry accelerates RWE research with out-of-the-box capabilities including pre-configured pipelines to transform data sources into the OMOP Common Data Model, a plug-and-play governance framework for data access and study approval, rapid cohorting tools for nontechnical users, and sharing and management of code lists and critical phenotype and outcome definitions.
  • Clinical Trial Harmonization: Foundry helps R&D organizations harmonize historical clinical trial data to create a launchpad for pooled analyses, unlocking significant value from rich, high-quality sources of multimodal patient data. Once patients are comparable across trials, the harmonized data can be used to generate hypotheses about indication expansion, biomarker strategy, or disease progression.
  • Clinical Trial Site Selection: Foundry provides a common platform where data sources relevant to protocol design, site selection, and patient recruitment can be centralized and analyzed together — including proprietary data on eligible healthcare providers, third-party licensed data on sites, historic trial data, and licensed patient population data.
  • Cell Line Development: Foundry connects data from across the lab and throughout the clone selection process, ensuring full visibility for selection decisions and providing insight into operational inefficiencies that often slow cell line development timelines.
  • Sales & Operations: Palantir provides a common operating picture to ensure life sciences organizations move in sync from supply chain to sales. A Supply Chain Control Tower automatically surfaces supply chain disruptions to operational managers, with full visibility into alternative suppliers, routes, and warehouses, and the ability to simulate consequences of alternatives. For sales, Foundry integrates transactional records, CRM data, third-party licensed data, and direct field rep intelligence to provide 360-degree account visibility and support channel strategy and demand prediction.
  • Biomanufacturing: Global pharmaceutical manufacturers rely on Palantir Foundry to cultivate data connectivity and overcome operational and data silos. A connected environment enables automated alerting and predictive AI to monitor operational efficiency, optimize yield, and predict deviations.

Core Platform Building Blocks

  • Make Data Usable: Foundry provides out-of-the-box connections for any data storage system, enabling automated data integration in any format including HL7, FHIR, CDISC, genomic file formats such as BAM or VCF, and high-content image files. An open architecture and APIs support bi-directional connectivity to any system type, including EHRs and EMRs. Foundry Archetypes — including templated OMOP pipelines for common RWE data sources and a Clinical Trial Harmonization Suite — reduce data standardization projects from years to weeks.
  • Protect Data at All Times: Foundry gives healthcare institutions the tools to build a trusted research environment with full transparency and controls over when, how, and why data is used. The Purpose Based Access Control module provides governance administrators an out-of-the-box framework for configuring access controls to fit unique policies. Foundry supports compliance with GDPR, FISMA, HIPAA, and GxP regulations. All data in Palantir Foundry remains owned by the customer — never by Palantir.
  • Facilitate Collaborative Analytics: A point-and-click cohorting tool enables experts of all technical abilities to quickly iterate on inclusion and exclusion criteria to define patient populations. Foundry's native code workbook tool allows data scientists to work across R, Python, and SQL, and can be connected to RStudio and custom high-performance compute clusters for specialized bioinformatics development. The Model Management Archetype provides a framework for data science collaboration, with a central model library, performance tracking, release management, and governance throughout a model's lifecycle.
  • Promote Knowledge Sharing & Reusability: Foundry Knowledge Store allows researchers to discover past projects and build on cohorts, datasets, or logic created by colleagues. Biostatisticians can template and publish code for reuse across studies, and clinicians can share medical code lists for disease or treatment definitions. Automatic provenance tracking ensures reproducibility by allowing any research result — dataset, model, or visualization — to be traced step-by-step back to the exact version of raw data used to produce it.

Demonstrated Impact

  • A government agency used Palantir to integrate clinical trials from all oncology drug applications submitted for regulatory review, successfully integrating over 100 trials for cancer immunotherapies involving more than 25,000 patients.
  • Palantir's transparent data provenance builds institutional trust, encouraging researchers to reuse cross-trial patient pools and compounding data harmonization efforts over time.
  • Key problems addressed include granular access control policies, full audit trails for all data access and analysis, and integration and harmonization of data into a common, comparable data model.

Palantir Foundry supports flexible deployment approaches and is designed to meet the stringent security and compliance requirements of both public sector health agencies and private life sciences organizations globally, including support for GDPR, HIPAA, FISMA, and GxP standards.

Meta

Domain
Clinical & Health Data Management
Subdomain
Health Data Harmonisation & Governance
Software type(s)
Analytical Platform
Deployment type(s)
Hybrid
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
ClinicalManufacturingPost-Market & RWEPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Bioinformatician / Computational ScientistCommercial / Market AccessIT / Systems Admin / Data EngineerQA / Regulatory AffairsResearch Scientist
Compliance standard(s)
GxPHIPAAGDPR
Tag(s)
Uses AI