Make healthcare data truly interoperable for analytics and AI
Unify EHR, lab, and claims data into a trusted data layer that enables faster clinical decisions, better patient outcomes, and real-time operational visibility.
to a clinical data foundation
faster access to care data
less data engineering effort
insights from EHR, Labs
Built for healthcare data, not adapted to it
Healthcare data comes with strict regulatory and operational requirements. LakeStack is designed to handle sensitive data by default, so security and governance are enforced across every stage.
Sensitive healthcare data is protected from the moment it is ingested. Data does not move through the system unprotected, and controls are applied before it is used downstream.
- Mask and de-identify sensitive attributes early
- Encrypt data in transit and at rest
- Keep sensitive data out of analytics environments
Access to data is controlled based on user roles and attributes, ensuring teams only see what they are allowed to.
- Define role-based and attribute-based access policies
- Restrict access across clinical and operational datasets
- Ensure every access event is logged and traceable
Every interaction with data is tracked automatically, providing full visibility for audits and internal governance.
- Track who accessed what data and when
- Maintain lineage from source to output
- Support audit and compliance reporting without manual effort
What LakeStack unlocks for healthcare teams
LakeStack enables healthcare teams to work with data in a way that is consistent, reliable, and ready for decision-making across the organization.
Combine patient data across EHR, lab, and claims systems to identify trends, manage risk, and enable proactive care decisions across populations.
Prepare structured datasets for cohort analysis, clinical studies, and research workflows without weeks of data preparation.
Unify clinical and operational data to improve reporting, optimize workflows, and reduce inefficiencies across departments.
Maintain consistent, traceable datasets to support regulatory reporting and internal audits without manual data reconciliation.
Medicaid program & claims data unified across 12+ state agency feeds for policy insights
LakeStack, built by Applify, is designed to run entirely within your environment, giving healthcare organizations full control over sensitive data while meeting strict security and governance requirements.
- No external SaaS layer, data stays within your environment
- No data routing outside your network or VPC
- No proprietary storage formats or vendor lock-in
- No custom pipeline engineering required to scale
- Unified control across ingestion, transformation, and access
- Real-time visibility into data movement and lineage
- Operates on your infrastructure, under your policies
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Evaluate LakeStack for your healthcare data environment
Understand how LakeStack fits into your systems, data workflows, and governance requirements without committing to a full implementation.
Frequently asked questions
LakeStack is deployed entirely within your AWS account using infrastructure-as-code. All components, including data storage, processing, and governance layers, are provisioned directly in your environment. No data or infrastructure resides outside your control, ensuring full ownership, data residency, and alignment with your internal security policies.
No. LakeStack is designed to work alongside your existing systems, including EHR, lab, claims, and enterprise applications. It connects to these systems, ingests data, and standardizes it without requiring any changes to your current workflows or infrastructure. This allows you to modernize your data foundation without disrupting ongoing operations.
LakeStack supports integration with a wide range of data sources, including relational databases, SaaS applications, APIs, and file-based systems. This enables healthcare organizations to bring together data from clinical systems, operational tools, and external sources into a unified data foundation without building custom connectors.
Data is organized into multiple layers, such as raw, curated, and analytics zones, ensuring a clear separation between unprocessed and ready-to-use data. Governance is enforced through fine-grained access controls, policy-based permissions, and structured data domains, allowing teams to access only the data relevant to their role while maintaining consistency and traceability.
Building a data platform on AWS typically requires months of engineering effort, ongoing maintenance, and complex pipeline management. LakeStack delivers a production-ready, governed data foundation in weeks by providing a pre-built, repeatable architecture. This reduces implementation risk, accelerates time to value, and removes the burden of managing custom-built data infrastructure.
