Medical Practices · MVP in 3 weeks
Stop Bleeding Clinician Hours to Prior Auth: A 3-Week MVP for Your Medical Practice
Most medical practices don't need another off-the-shelf SaaS login — they need a small, sharp internal tool that knows their EHR, their payer mix, and the specific way their MAs triage the prior-auth inbox. In three weeks, a Build Pod scopes one painful workflow at your practice (pre-auth chasing, ambient scribe drafts feeding back into Epic or Athena, recall outreach for overdue patients), ships a working internal beta your front desk and clinicians actually open, and hands you a tool that survives a Monday morning. Month-to-month, no statement of work games.
What we build for Medical Practices
Prior-auth queue that drafts payer packets from the chart
Pull the diagnosis, CPT, and clinical notes from your EHR, draft the payer-specific pre-auth packet, and surface only the cases the MA needs to touch. Works against commercial PPO, Medicare Advantage, and Medicaid MCO requirements.
Ambient scribe drafts that round-trip into your EHR template
Capture the visit, generate a SOAP or H&P draft in the clinician's house style, and post it back into the right encounter note in Epic, Athena, eClinicalWorks, or DrChrono — not a separate PDF the doctor has to copy-paste.
Recall and follow-up cadences that actually run
Watch for overdue annuals, post-op check-ins, and lab-result follow-ups, then trigger SMS, portal message, or task-to-MA based on patient preference and risk — instead of leaving it to whoever has time at the front desk.
How a Build Pod fits
A Build Pod is a small dedicated team — engineer, AI engineer, and a PM who owns the clinical-workflow conversation with you — that you subscribe to monthly. Week one is scoping with your office manager and one or two clinicians: we pick ONE workflow, map it against your EHR, your clearinghouse, and the actual humans who touch it, and write the spec. Week two we build against a sandbox or a de-identified slice of your data. Week three we ship an internal beta to a pilot pod (one provider, one MA, one front-desk lead) and iterate live.
We build HIPAA-aware from day one — BAAs with model providers, PHI isolation, audit logs, and no patient data sent to consumer ChatGPT. After the three-week MVP, the same pod stays on month-to-month to harden it, roll it across the rest of the practice, and ship the next workflow. Cancel any month if the roadmap dries up.
Frequently asked questions
- How can I use AI in my medical practice?
- The highest-ROI starting points are prior-auth drafting, ambient scribing into your EHR, and patient recall outreach — all workflows where the bottleneck is repetitive language work, not clinical judgment. We scope which one matches your payer mix and EHR in week one.
- Is ChatGPT for healthcare HIPAA compliant?
- Consumer ChatGPT is not. We build on the enterprise tiers (OpenAI, Anthropic, Azure OpenAI) that sign BAAs, and we keep PHI inside your tenant with audit logging. The MVP is HIPAA-aware from the first commit.
- What is the best AI to use for healthcare?
- There isn't one — the right model depends on the task. Ambient scribing leans on Anthropic or OpenAI with healthcare-tuned prompts; prior-auth packet drafting often pairs a smaller model for extraction with a larger one for narrative. We pick per workflow.
- Will it work with our EHR (Epic, Athena, eClinicalWorks, DrChrono)?
- Yes — we integrate via FHIR, vendor APIs, or HL7 feeds depending on what your EHR exposes. In week one we confirm exactly which integration path is realistic before committing the MVP scope.
- How long before clinicians actually use it?
- The internal beta ships at the end of week three to a small pilot group — usually one provider, one MA, one front-desk lead. Practice-wide rollout is typically the following month, once the pilot has shaken out the edge cases your real schedule throws at it.
Ready to ship AI for medical practices?
A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.
Talk to a Build Pod