We unify healthcare data to support interoperability, compliance, and Health Information Management (HIM) goals.





Ljubomir Buturovic
Outstanding vendor. We engaged MEV for network security, and they have done a stellar job of reviewing and monitoring our environment
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Steven B. Drucker
MEV came in and formed an incredible development team for Pillow PH. They not only helped us define our data warehouse system but they also designed and built it out for us. MEV focused on building out a complete system for us that met HIPAA compliance and offered protection for our clients sensitive data. We are still partnered with MEV to this day and thankful to have a team available to build-up.
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Jonathan Lochhaas
Quantuvis has partnered with MEV for the development of our core product since 2017. They've been with us as we built the platform from a basic negotiation tool into the only end-to-end drug rate management system in the market. We're grateful for their expertise, focus, and flexibility as we have scaled.
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All environments are isolated, encrypted, and access-controlled. We work with de-identified datasets whenever possible and 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, complex, and loaded with features you’ll never use. It also struggles to integrate with existing EHRs, PBMs, or data APIs without heavy customization.
A custom-built or hybrid solution focuses on what you actually need: connecting critical systems, ensuring data quality, automating compliance, and scaling at your own pace.
Yes. We’ve implemented FHIR-based architectures in several 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.
AI depends on high-quality data. We build AI-ready pipelines that clean, normalize, and label data for use in predictive analytics, NLP on clinical notes, and population-health algorithms.
We design privacy and security controls into every layer, encryption, access management, audit logging, and data minimization, plus signed BAAs and DPIAs where required.
The Security Rule protects all electronic protected health information (ePHI) created, received, maintained, or transmitted by healthcare entities. It defines administrative, physical, and technical safeguards to ensure the confidentiality, integrity, and availability of that data.
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