What might we achieve if we unblock the barriers to working with healthcare data?
Healthcare data in the form of Real World Data (RWD) has become essential for extracting scientific and clinical insights, and for helping organizations generate value across their business and operational needs.
Challenges with Healthcare Data
Security & Privacy
Strict regulation for data security and patient privacy
Decentralized Data
Messy, inconsistent, and decentraliazed data
Data Incompatibility
Data incompatibility with different formats and coding systems
Potential Bias
Potential bias due to the unique blend of patients, providers, and practices
Bespoke
Bespoke, home-grown data and technology landscapes
This helps our data partners and users to more rapidly achieve their research goals and deliver end-to-end clinical or operational solutions to stakeholders
Decentralized Data
We attract reliable, long-term partners with access to multiple sources of data by allowing hospitals to retain total ownership and control while sharing value with the network via decentralized, privacy-preserving AI/ML
Accelerated Experimentation
We empower rapid AI/ML experimentation and facilitate team collaboration by offering a wide range of reusable frameworks and repositories that expand as we scale
End-To-End Support
We actualize your AI/ML strategy from raw data to clinical and commercial deployment by providing the full suite of tools and environments for building scalable software
Untapped Network
We establish new and untapped data sources by forming relationships with major data partners on a global scale
Data Governance
Transform the raw data in your warehouse into reusable AI-ready datasets, continuously updated and made available to your organization under strict security controls
Clinical Research
Empower research team collaboration on applying data science to problems in healthcare, using self-service applications & the full analytic power of a modern data stack, reducing study cycle time from months to days
Clinical Application
Translate output of clinical research into AI-enabled clinical solutions & drive continuous improvement based on clinician feedback