Healthcare Data Management Solutions | 
‍Healthcare Data Engineering

All environments are isolated, encrypted, and access-controlled. We work with de-identified datasets whenever possible, follow least-privilege principles for every project role.

Off-the-shelf healthcare data management software can be a quick start, but it's often expensive, loaded with features you'll never use, and struggles to integrate with existing EHRs, PBMs, or data APIs without heavy customization. A custom or hybrid solution focuses on what you actually need: connecting critical systems, ensuring data quality, automating compliance, and scaling at your own pace. We typically find the hybrid path — using your existing warehouse and middleware, plus purpose-built integration and MDM layers — costs less and lasts longer than either extreme.

Yes. We've implemented FHIR-based architectures in multiple healthcare data platforms, including projects where we built patient, provider, and admin applications on top of HAPI FHIR servers. Our experience covers FHIR resource modeling, interoperability with EHR systems, and compliance with HIPAA, SOC 2, GDPR, and HITRUST requirements.

Yes. We've integrated with Epic, Cerner, athenahealth, Redox, and custom APIs. We build into your existing Snowflake, BigQuery, Redshift, or Databricks warehouse.

AI is only as good as the data feeding it. We build AI-ready pipelines that clean, normalize, and label data for use in claims adjudication analytics, prior-auth automation, population-health models, NLP on clinical notes, and predictive risk stratification. The work that makes AI actually useful in healthcare is 80% data engineering and 20% model training — we do both, but we're honest that the engineering is where most of the value is.

We design privacy and security controls into every layer, encryption, access management, audit logging, and data minimization, plus signed BAAs and DPIAs where required.

FHIR (Fast Healthcare Interoperability Resources) is the HL7 standard for modern healthcare data exchange. It enables secure, real-time sharing of patient information across systems such as EHRs, payers, PBMs, and digital health apps using web-friendly APIs.

Yes. MEV works as a healthcare data integration partner for payers, PBMs, pharma, and healthtech teams that need claims, pharmacy, clinical, and operational data to move reliably across fragmented systems. Over the past 20 years, we have worked in healthcare not only on data integration, but also on building healthcare products and application layers around the data. We design and build custom integration workflows, interoperability layers, and data pipelines using APIs, HL7, FHIR, middleware, and cloud platforms, especially where off-the-shelf connectors are too limited for real production use.