Healthcare analytics product development

We build scalable, AI-enabled analytics solutions that empower clinicians, payers, researchers, and regulators while democratizing access to data. Our expertise in data normalization, semantic-layer analytics, and modern standards such as FHIR and CQL lays the groundwork for impactful B2B products.

Expertise you can rely on

Case study

IT vendor

USA

AI-driven health data platform for clinical and research insights

We designed an advanced platform that uses graph and AI-based analytics to enhance data quality and consistency across healthcare services. It supports primary care, specialty care, and research services, with a focus on stem cell and alternative medical procedure research. Built for U.S. health providers and payers, it ensures local regulatory compliance while preparing for global expansion.

Our Kodjin FHIR-centric data platform

Kodjin is our infrastructure solution designed to power the development of healthcare analytics products. It enables ingestion, standardization, and normalization of healthcare data from multiple sources, transforming complex FHIR resources into human and machine-readable queries. With its semantic layer and headless BI, Kodjin provides a robust foundation for analytics product development and regulatory compliance.

Our approach to technology selection for scalable and future-ready medical analytics software development

FHIR as the foundation for modern healthcare analytics solution

Edenlab specializes in healthcare data preparation and normalization, with a focus on FHIR implementation. We solve complex analytics challenges with proven approaches while maintaining interoperability with alternative formats — ensuring flexible, standards-aligned solutions.

Building a semantic layer for reusable and scalable analytics

A semantic layer bridges raw healthcare data and business users by translating complex models into clear, queryable metrics. We use Cube to define reusable logic, ClickHouse for fast OLAP performance, and Kubernetes to ensure scalable analytics delivery.

AI-powered conversational insights

To democratize access to data insights, we embed agentic large language model pipelines that enable clinicians, analysts, and executives to ask natural language questions and receive instant, explainable answers. Retrieval-augmented generation (RAG) and modular compositional prompting (MCP) over a semantic FHIR layer turn complex datasets into intuitive “chat with your data” experiences.

Adopting CQL to standardize clinical logic in analytics

Edenlab’s healthcare analytics product developers actively explore CQL to enhance our FHIR-based capabilities. CQL offers the potential to standardize quality measure definitions and CDS logic. As the standard evolves, we support analytics product teams in integrating CQL into their FHIR-based architectures.

How we overcome tech challenges and unlock hidden opportunities for analytics products

Fragmented and unstructured healthcare data

Edenlab helps consolidate and enrich data from multiple sources using ELT pipelines and unified data models. Our approach ensures comprehensive analysis across EHRs, claims systems, and other healthcare platforms.

Limited compatibility between systems

We build backend infrastructure that bridges data silos by supporting widely adopted standards like FHIR. This enables more consistent data exchange and lays the groundwork for improved interoperability, even in fragmented environments.

Complexity in identifying meaningful patterns

We design and implement tools that simplify advanced data analysis, allowing users to define custom cohorts, analyze their pathways, and explore multi-dimensional data, revealing difficult-to-discretion costs.

Barriers to data access for non-technical users

We enable data democratization by building intuitive interfaces and self-service analytics tools. Our architecture ensures that clinicians, company users, and operational teams can explore data securely — without relying on engineers.

FHIR-first analytics challenges

FHIR’s deeply nested and reference-heavy structure can hinder performance in large-scale analytics. We solve this by flattening resources into analytics-ready formats, applying ELT pipelines, and using purpose-built databases for querying and aggregation.

Data security and regulatory compliance

We build security and compliance into our solutions from the start — with encryption, access control, and data governance aligned with HIPAA, GDPR, and major interoperability mandates like ONC, CMS, and ISiK.

Business use cases you can serve with our custom medical data analytics solutions

Real-time clinical decision support

Equip your solution with instant access to PHI, lab data, and medical guidelines — enabling clinicians to make safer, faster treatment decisions at the point of care.

Patient journey visualization

Enable your product to integrate EHRs, wearable data, and patient-reported outcomes to deliver personalized health trajectories and behavior-aware recommendations.

Patient identification for clinical trials

Support clinical trials and observational studies with real-time cohort building, recruitment automation, and adaptive analytics for faster, more cost-effective research cycles.

Value-based contract performance monitoring

Give payers and providers tools to design pricing strategies that align with patient outcomes, driving transparency and more equitable reimbursement agreements.

Clinic capacity forecasting

Let your customers predict demand surges by correlating clinical history with seasonal and external trends — improving scheduling, resource allocation, and patient flow.

Early disease outbreak detection

Embed real-time surveillance tools to help public health teams detect disease clusters earlier and respond more effectively to potential epidemics.

Chronic-disease management

Enable segmentation and risk stratification to drive preventive programs — such as targeted interventions for chronic disease risk groups.

Automated eCQM calculation and submission

Automate quality measure tracking and compliance reporting to reduce administrative burden and improve accuracy in regulatory submissions.

Tell us your use case — we’ll turn it into a working solution

We design and implement tailored healthcare solutions that drive industry transformation. From AI analytics to FHIR compliance, we bring your ideas to life.

Components of healthcare analytics solutions we usually use

Transformation layer

Toolkit for extracting, normalizing, and standardizing healthcare data through parsing and validation protocols.

Physical layer

High-performance data warehouses and streaming platforms for secure, efficient healthcare data management.

Analytical layer

Sophisticated tools for transforming complex medical datasets into optimized SQL structures.

Semantic layer

Dynamic models that translate raw data into meaningful, business-logic-aligned healthcare insights.

Conversational layer

LLM for interacting with healthcare data, asking natural-language questions, and receiving instant, explainable answers.

Visualization layer

Intuitive UIs that transform complex answers on business requests into actionable dashboards and reports.

Integration layer (Headless BI)

A robust API and authorization ecosystem ensure flexibility and security of data sharing with external dashboarding tools.

Bring your ideas to life faster and more cost-effective with Kodjin

Let us turn your concepts into impactful solutions. Our product, Kodjin, helps you accelerate ONC-compliant healthcare analytics product development.

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Our approach to healthcare analytics software development

Deep interoperability & analytics know-how

Our team brings hands-on experience in healthcare data analytics and standards, helping you navigate domain complexity and build solutions that work in the real world, from initial planning to full implementation.

Lean teams, high delivery speed

We assemble focused, cross-functional teams tailored to healthcare product delivery — removing overhead and accelerating progress without compromising on quality or compliance with your business goals and budgets.

Built to scale, ready to evolve

We engineer adaptive systems designed to grow with your product. Whether you’re scaling users, integrating new data sources, or responding to market shifts — your platform stays resilient and future-ready.

Post-launch support that drives traction

Our work doesn’t stop at release. Edenlab’s healthcare analytics product experts stay engaged to help fine-tune your product based on usage data and user feedback, so you can reach — and sustain — product-market fit.

More about our approach

Discover more services and custom solutions we deliver

Healthcare integration services

We bridge systems, applications, and data sources to ensure HIPAA-compliant data exchange and optimize workflows. Edenlab leverages trusted industry tools and develops tailored platforms, backed by deep data management expertise.

Healthcare data and analytics services

We build the infrastructure to normalize, structure, and activate your big data, enabling informed decision-making and driving operational optimization. We help you become AI-ready while maintaining data quality at scale.

Clinical data repository development

We create robust, scalable solutions to securely store, manage, and access clinical data. We design custom repositories tailored to your needs, ensuring seamless integrations, and efficient retrieval to support informed healthcare decisions.

Patient portal development

We develop custom health portals that enhance efficiency and member satisfaction. Our solutions include integrated portals within EHR systems for clinics, telehealth providers, and multi-location practices.