Healthcare AI & LLM Consulting
Quant Solvent designs and ships LLM-powered workflows on regulated healthcare data. That means HIPAA-aware architecture from the first diagram — Business Associate Agreements, access controls, audit logging — and production deployment, not a demo that dies in pilot purgatory.
What does a healthcare LLM consultant actually do?
We take a text-heavy, high-volume healthcare workflow — denial follow-up, payer policy lookup, remittance review, prior-auth packet assembly — and build an LLM-powered tool that does the reading, drafting, and categorizing so your team does the deciding. The work spans use-case selection, compliant architecture, retrieval over your internal documents, evaluation, and deployment into the systems your staff already use.
A Business Associate Agreement (BAA) is the contract HIPAA requires between a covered entity (or its vendors) and any service provider that touches Protected Health Information. An LLM deployment that handles PHI without a BAA in place is non-compliant regardless of how secure the technology is.
Can you use LLMs with PHI without violating HIPAA?
Yes — with the right architecture. A compliant deployment pairs a signed BAA (Azure OpenAI, AWS Bedrock, Google Vertex AI, and enterprise model tiers all offer them for covered services) with configuration that keeps prompts and outputs out of training data, role-based access, audit trails, and minimum-necessary data flows. We design for this from the start rather than retrofitting compliance onto a prototype. For a full breakdown of what compliance requires, see can you use ChatGPT (or any LLM) with PHI?, and for the Azure specifics, is Azure OpenAI HIPAA compliant?
What we deliver
- Use-case selection and feasibility — which workflows have the volume, text-density, and error tolerance to pay back automation first.
- HIPAA-aware architecture — platform and model selection with BAA coverage, data-flow design, de-identification where appropriate.
- Retrieval over your documents — your payer policies, contracts, SOPs, and historical claims made answerable in plain language.
- Evaluation and guardrails — accuracy measurement on your real data before and after launch, not vibes.
- Production deployment — shipped into your team's workflow with logging, access control, and a maintenance path (see Managed AI Operations).
Who this is for
Medical billing and RCM companies, provider groups, health systems, health-tech startups, and payer teams — organizations where money, technology, and healthcare intersect, that want senior engineering on a regulated problem without hiring a full-time AI team.
Frequently asked questions
Can you use an LLM with PHI and stay HIPAA compliant?
Yes, when the deployment is architected for it: a signed BAA with the model provider or cloud platform, configuration that excludes prompts and outputs from training, access controls, audit logging, and minimum-necessary data flows. The BAA and the architecture — not the model alone — are what make a deployment compliant.
Which LLM platforms support a BAA for healthcare workloads?
Major cloud AI platforms — including Azure OpenAI, AWS Bedrock, and Google Vertex AI — offer BAAs for covered services, and some model providers offer BAAs directly on enterprise tiers. Eligibility depends on the specific service and configuration, which we validate during architecture design.
What healthcare workflows are the best fit for LLM automation?
Back-office document workflows show the strongest returns: denial categorization and appeal drafting, payer policy lookup, remittance processing, prior-authorization packet assembly, and coding audit support. High-volume, text-heavy, rules-driven tasks where the LLM augments staff rather than replacing clinical judgment.
Do you build proofs of concept or production systems?
Production systems. Engagements are scoped to land a working tool in your team's hands — with evaluation, access controls, and audit logging — not a demo that stalls after the pilot.
Scope your AI workflow in one call
Bring the workflow that's eating your team's hours. You'll leave with next steps, an estimate, and a written Statement of Work — the same business day.
Book a 30-minute intro call Prefer email? clayton@quantsolvent.co