Healthcare data & analytics services
We empower healthcare and life sciences entities, payers, TPAs, and software vendors with custom IT solutions to ingest, normalize, structure, secure, store, and share data — enabling easy access to insights, AI readiness, and high-performance processing — while our clients drive the meaning.
Contact expertsWe provide end-to-end healthcare data & analytics services
01
Design
- Understanding goals and data flows.
- Designing solution architecture and data models.
- Aligning with governance and compliance.
02
Build
- Data platform development/implementation.
- Healthcare API development.
- Healthcare integration engine setup.
03
Secure
- Data privacy compliance.
- Access control & identity management.
- Data encryption & protection.
- Audit & monitoring solutions.
04
Enable intelligence
- Analytics solution development/implementation.
- Data visualization.
- AI/ML tool integration.
05
Transfer
- Data mapping and transformation.
- ELT/ETL pipeline development.
- Data quality management.
06
Manage
- Team training on platforms and tools.
- DataOps services.
Case study
Governmental agencies
Ukraine National HIE system
Building a centralized eHealth data platform for secure data exchange across up to 10,000 providers, incorporating HL7 FHIR-native solutions. Data from the platform now feeds into the national analytics and BI system, enabling large-scale health insights.
USA 
Healthcare data challenges we solve
Managing significant data volumes at scale
We build scalable data platforms with distributed storage, streaming pipelines, and automated data processing for high-load healthcare environments.
Organizing inconsistent data
We provide health data services and tools for normalizing, cleansing, and structuring fragmented healthcare data from multiple sources to create unified, analytics-ready datasets.
Semantic interoperability
We enable the interoperability layer with terminology services and data mapping tools for seamless integration and data exchange with EHR, HIE, and other systems.
Barriers to data availability
We design solutions that support data democratization by enabling self-service analytics — providing immediate access to clinical and operational data without delays from data teams.
Poor and unreliable insights
We seamlessly integrate fragmented data sources, and enable reliable reporting and dashboards by building trusted data pipelines, validation layers, and centralized analytics infrastructure.
Lack of real-time data access
We implement real-time data streaming and event-driving solutions for critical healthcare scenarios — from clinical decision support to patient care management.
Inability to integrate AI
We prepare structured, clean, and accessible healthcare data to power AI models, clinical decision support, and predictive analytics.
Expensive system maintenance
We help reduce infrastructure costs using modular architectures, cloud-native solutions, automated deployments, and efficient data platform operations.
Need a strong tech partner for your healthcare analytics product?
From FHIR-first architectures to semantic layers, our health data analytics company develops high-impact products tailored to clinical, research, and payer needs.
Types of healthcare data we work with
Administrative data
- Patients
- Healthcare professionals
- Clinics and hospitals
- Locations
- Service catalogs
Clinical data
- Medical conditions
- Allergies
- Immunizations
- Procedures, hospital visits
- Care plans, goals
- Risk assessments
Diagnostics data
- Laboratory test results
- Medical imaging
- Vital signs
- Clinical observations
- Diagnostic reports
Medication data
- Prescriptions
- Medication intake history
- Medication dispensing records
Financial data
- Insurance coverage details
- Claims and billing documents
- Payment transactions
Workflow data
- Appointments and scheduling
- Referrals and task management
- Care coordination
Clinical reasoning
- Clinical guidelines and rules
- Quality metrics (eCQM)
- Decision support logic
Medication reference
- Drug catalogs and product definitions
- Packaging information
- Regulatory approvals and authorizations
Data formats we focus on
FHIR as a golden standard
To ensure healthcare data and analytics technology services we build FHIR-first healthcare data platforms for real-time, API-based data exchange across systems.
Our team has strong expertise in designing custom FHIR architectures, implementing FHIR servers, and enabling seamless integration across clinical systems.
We use FHIR together with Clinical Quality Language (CQL) and standard medical terminologies — ICD-10, LOINC, SNOMED CT, RxNorm — to deliver advanced data management, reporting, clinical decision support, and interoperability solutions compliant with regulations and frameworks like ONC, CMS, and the International Patient Summary (IPS).
Specialized and legacy standards
- HL7 v2/v3 — Ensures data compatibility with legacy healthcare systems still in operation.
- OpenEHR — Popular across Europe for managing vendor-neutral, structured health records.
- CDA (Clinical Document Architecture) — Facilitates document-based health data exchange between healthcare providers.
- DICOM — Standard for sharing and managing medical imaging data across systems and devices.
- X12 — Widely adopted for exchanging financial, billing, and insurance data in healthcare.
- JSON / XML — Provide structured data formats for interoperability in modern API ecosystems.
Healthcare data services we provide
Data architecturing
We design flexible and scalable data architectures that support data integration, processing, and management across diverse platforms, ensuring reliable data flow.
Data and analytics platform development
We design and implement scalable healthcare data platforms — including FHIR servers, data warehouses, lakehouses, analytical and semantic layers — to consolidate, structure, store and activate clinical, financial, and operational data. Our solutions support AI-powered workloads and reusable metrics.
Data mapping
We design and implement mapping strategies to transform healthcare data between different formats and standards — FHIR, HL7 v2, CDA, X12 as well as the proprietary data formats — ensuring accurate data exchange and system interoperability.
Our services cover terminology mapping, structure mapping, and automated data transformation.
Custom HL7 interface development
We build interfaces for healthcare systems integration — from legacy HL7 v2 messaging to modern FHIR APIs — enabling real-time data exchange, interoperability, and seamless communication between clinical applications.
Data visualization and
reporting
Our healthcare analytics services include enabling solutions that allow your team to create targeted dashboards and reports for clinical research, operational monitoring, regulatory tracking, and self-service BI — making insights accessible to clinicians, managers, and analysts without technical barriers.
DataOps services
We automate healthcare data pipelines — from ingestion and validation to transformation and delivery — ensuring reliable data flows across clinical systems, reducing manual operations, and enabling faster deployment of analytics and AI solutions.
FHIR services
We implement HL7 FHIR on top of legacy systems — developing FHIR facades, integration layers, and seamless data exchange workflows in full alignment with implementation guides and interoperability regulatory requirements.
Learn moreData modeling
We design comprehensive data structures that ensure clarity, accessibility, and consistency across systems, facilitating better decision-making.
Data quality management
We help healthcare organizations ensure data accuracy, completeness, and consistency through automated validation, standardization, and deduplication processes. Our services include data profiling, EMPI implementation, terminology alignment, and ongoing data quality monitoring.
ELT pipeline design and implementation
We build ELT pipelines for extracting healthcare data from EHRs, HIEs, claims systems, and any other external apps. Our solutions support structured and unstructured data, enable data validation, terminology mapping, and preparing clean, consistent datasets for analytics and AI use cases.
Data security & privacy
We design secure healthcare data infrastructures with attribute-based access control, encryption, audit trails, identity management (OAuth 2.0, OpenID Connect), and privacy controls — ensuring HIPAA and GDPR compliance.
AI & ML solution
development
We develop LLM-powered tools for healthcare data management and analytics — enabling smart data search, automated reporting, clinical insights generation, and conversational interfaces for patients, clinicians, and operations teams.
Team training services
Edenlab offers training programs to empower your teams with the skills and knowledge to manage and utilize data effectively, enhancing productivity and driving data success.
Integration services
We connect healthcare systems — EHRs, HIEs, billing platforms, medical devices, and patient apps — using centralized data platforms or direct integrations with APIs, event-driven workflows, and data pipelines tailored to your infrastructure.
Learn more
FHIR services
We implement HL7 FHIR on top of legacy systems — developing FHIR facades, integration layers, and seamless data exchange workflows in full alignment with implementation guides and interoperability regulatory requirements.
Learn more
Integration services
We connect healthcare systems — EHRs, HIEs, billing platforms, medical devices, and patient apps — using centralized data platforms or direct integrations with APIs, event-driven workflows, and data pipelines tailored to your infrastructure.
Learn moreAreas of healthcare analytics we cover
Business analytics
To optimize resource utilization, staff allocation, patient throughput, and service efficiency across departments and facilities.
Clinical analytics
To track treatment outcomes, identify care gaps, assess protocol adherence, and support evidence-based medical decisions.
Financial analytics
To analyze reimbursement patterns, reduce leakage, and improve revenue cycle performance and forecasting.
Population health analytics
To support longitudinal studies, cohort building, patient stratification, and real-world evidence (RWE) generation.
AI-powered analytics
To enable trend detection, predictive modeling, and smart insight delivery using LLMs and machine learning pipelines.
Quality reporting
To meet compliance requirements such as CMS, HEDIS, and custom quality indicators.
Accelerate custom healthcare data analytics solution implementation with Kodjin
Leverage our ready-made FHIR-native data storing, processing and analytics tools as a technical foundation for your custom solution.
Our engagement options
Health data consulting
As a provider of data and analytics technology we help healthcare organizations define technical architecture, data models and integration approaches, and enable future-ready data platforms.
Data & analytics solution enablement
We implement and configure ready-made cloud-native healthcare data platforms like AWS HealthLake and BI tools like Tableau, Power BI, Looker — adapting them to your data, infrastructure, and business workflows.
Custom data & analytics software development
We build tailored data storing, quality management, integration, analytics solutions, including AI-driven tools to address specific business and clinical needs.
Healthcare data migration
We transfer data from legacy systems, EHRs, and cloud platforms. Our approach supports large-scale migration projects and prepares data for use in modern platforms and analytics environments.
Data exchange regulatory compliance
We implement FHIR-native solutions to meet healthcare data exchange regulations — enabling API-driven access, patient data sharing, and secure workflows aligned with ONC, CMS, IPS, ISiK, and MedMij requirements.
Our solution delivery approach
01
Thoughtful design
Our experts deeply analyze your vision, assess the technical landscape, and craft a robust architecture and tech stack that align with your resources, goals, and industry trends.
02
Predictable implementation
We ensure a transparent and efficient development process, adapting to evolving challenges while keeping the project on time, within budget, and focused on delivering real impact.
03
Strategic partnerships
With a track record of co-developing large-scale healthcare solutions, we collaborate with industry leaders to drive innovation, compliance, and high-performance outcomes.
04
Continuous optimization
Through iterative improvements, rigorous testing, and proactive refinement, we maximize your solution’s reliability, scalability, and long-term success.
Data analytics technologies we work with
Data storage & databases
Data processing & streaming
Cloud & infrastructure
Monitoring & logging
Data engineering & DevOps
Backend development
Testing & automation
Data storage & databases
Relational databases:
PostgreSQL
NoSQL databases:
MongoDB
Data analytics storage:
ClickHouse
Data processing & streaming
Message brokers & streaming:
Kafka Redis
ETL & data pipelines:
AirByte dbt Debezium Dagster
Cloud & infrastructure
Cloud platforms:
AWS GCP MS Azure
Containerization & orchestration:
Kubernetes Cluster API Linkerd Traefik
Object storage:
Minio Ceph
Monitoring & logging
Grafana Grafana Loki Prometheus Jaeger
Data engineering & DevOps
CI/CD Tools:
GitHub Actions Jenkins Travis
Backend development
Programming languages:
Go Rust TypeScript C#/.NET Elixir Erlang
Testing & automation
Cypress Locust Behave Gherkin & Cucumber
Custom data-driven solutions we design and implement
HIE
Edenlab creates robust Health Information Exchange (HIE) systems that facilitate seamless, secure data sharing between healthcare providers, improving care coordination and patient outcomes.
EHR
We build customizable Electronic Health Record (EHR) systems that streamline healthcare workflows, enhance data accuracy, and improve patient care through efficient digital record management.
CDSS
Edenlab develops Clinical Decision Support Systems (CDSS) that empower healthcare providers with data-driven insights and real-time alerts, improving clinical decision-making and patient safety.
Clinical data repository
We design and implement Clinical Data Repositories (CDRs) that centralize patient data, enabling healthcare organizations to store, manage, and access critical clinical information efficiently and securely.
