Medical Practices · AI Automation
Stop Bleeding Clinician Hours to Prior Auth and After-Hours Charting at Your Practice
Your MAs spend half their day on the phone with payers, your physicians chart until 9pm, and the recall list in your EHR has patients who were due three months ago. Generic point tools don't fix this — they add another tab. We build AI automation tuned to how your practice actually runs: the payer mix you deal with, the EHR you're stuck with (Epic, athena, eClinicalWorks, NextGen), and the protocols your clinicians follow. The work that's eating your team's time gets handed to software you own, not a SaaS subscription you rent.
What we build for Medical Practices
Automate prior authorization submission and status polling per payer
Pulls the CPT, ICD-10, and clinical justification from the chart, fills the payer's portal or fax form, and polls for status so your MA only sees the auths that actually need a human.
Ambient SOAP note drafting tied to your specialty's templates
Generates a structured note from the visit audio in your clinicians' voice and template, then drops it into the EHR as a draft for sign-off — not a separate scribe app to babysit.
Personalized recall and no-show outreach across SMS, email, and voice
Reads who's overdue for annuals, labs, or follow-ups straight from the EHR and runs the cadence with the right channel per patient, escalating only the ones who don't respond.
How a Build Pod fits
A Build Pod is a dedicated AI engineering team your practice subscribes to monthly. We start with a scoping week inside your clinic — sitting with the front desk, MAs, and a clinician — to find the workflow that's costing the most hours. From there we ship a working tool in roughly three weeks, wired into your EHR via the integration path that's actually available (FHIR, HL7, vendor API, or RPA when the vendor won't open up).
From that point the pod keeps building. Pre-auth this month, ambient notes next month, recall automation after that — same team, same codebase, compounding on what they already learned about your payer mix and protocols. HIPAA-aligned hosting, BAAs in place, and the code is yours.
Frequently asked questions
- Is ChatGPT for healthcare HIPAA compliant?
- Public ChatGPT is not. We build on HIPAA-eligible infrastructure (Azure OpenAI, AWS Bedrock, or self-hosted models with a BAA in place) and route PHI only through services covered by signed BAAs. Nothing patient-identifiable touches a consumer endpoint.
- How can I use AI in my medical practice?
- The highest-leverage starting points are prior authorization, ambient clinical documentation, and patient recall. We pick one based on where your clinicians are losing the most hours, ship that first, then expand.
- What is the best AI to use for healthcare?
- There isn't one — the right model depends on the workflow. Ambient notes lean on speech models tuned for clinical speech; pre-auth uses reasoning models with tool use over payer portals. We pick per task and own the integration so you don't get locked into a vendor.
- How long before we see working software in the clinic?
- Roughly three weeks from the scoping call to the first tool in the hands of one clinician or one MA pod. We deliberately scope the first build narrow so it lands in production, not in a demo.
- Do you integrate with our EHR — Epic, athena, eClinicalWorks, NextGen?
- Yes. We use FHIR or HL7 where the EHR exposes it, vendor APIs where they exist, and browser automation as a fallback when the vendor won't open the integration up. Your IT team approves the path before we build.
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