Frequently Asked Questions

  • Reimagined Health helps health organizations turn fragmented data and broken workflows into AI-ready infrastructure that actually works. We start with your business outcomes and operations — not a technology or vendor roadmap — and build the data foundation, governance, and applications needed to support real AI use cases like denial management, prior auth, and unified reporting.

  • Most healthcare IT vendors sell a platform or a subscription. We don't. We build the data infrastructure, governance framework, and AI-ready architecture that makes the systems you already own actually usable — your EHR, your billing platform, your cloud data — rather than adding another tool on top of them.

  • No. Our approach is built around your existing systems, not around replacing them. The core problem we solve is that your EHR and RCM platforms don't share data cleanly today; we connect and govern that data so it works together, without requiring a platform migration.

  • We work with all kinds of health organizations including behavioral health treatment centers and multi-location care providers — organizations like Community Medical Services, Pinnacle Treatment Centers, Genesis Treatment Services, and Maric Healthcare. Our work spans clinical care, revenue cycle, provider operations, and patient experience.

  • An AI Strategy & Roadmap engagement identifies the right AI use cases for your organization, sequences them appropriately, and ties each one to a specific business outcome rather than a vendor's feature list. It's the starting point for organizations that know they need AI but aren't sure where to begin.

  • Our AI Governance Framework is HIPAA-compliant and auditable by design. Many healthcare staff are already using AI tools informally and ungoverned — often with PHI exposure risk. We productionalize that existing "shadow AI" usage into a governed, compliant, auditable framework rather than shutting it down or ignoring it.

  • Agentic Workflow Development builds AI that takes action instead of just surfacing information — for example, routing prior authorizations, flagging compliance issues, or automating denial routing. It's aimed at the repetitive, rules-based decision work that currently consumes manual staff time.

  • Data Infrastructure & DaaS (Data as a Service) is a clean, queryable data layer built on Azure Databricks that your organization owns outright. It can be delivered as a one-time build or as an ongoing retainer, and it's the foundation every other AI use case — reporting, governance, agentic workflows — depends on.

  • Timelines vary by scope, but every engagement follows the same five-step process: Discover, Define & Plan, Design & Build, Refine & Launch, and Support & Evolve. Strategy and roadmap engagements are typically the fastest; full data infrastructure builds take longer but are scoped and sequenced during the Define & Plan phase so timelines are clear upfront.

  • We start by listening — understanding your challenges, goals, and workflows before recommending anything (Discover). We then turn that understanding into a scoped roadmap with clear outcomes (Define & Plan), build and integrate the solution with a focus on real-world usability (Design & Build), test and validate before go-live (Refine & Launch), and provide ongoing support since your infrastructure is a living system, not a one-time delivery (Support & Evolve).

  • Yes. Reimagined Health is a Databricks consulting partner, and Azure Databricks is the core data platform behind our Data Infrastructure & DaaS offering.

  • Yes — that's a specific focus of our AI Governance Framework. Rather than blocking the AI tools staff are already relying on, we bring that usage into a compliant, auditable structure so the productivity gains stay in place without the PHI exposure risk.