Prior auth automation, scheduling, documentation, and billing prep — built on-premise or in a private cloud. Full Business Associate Agreement included. No PHI ever touches a public AI model.
Every system we build is HIPAA-compliant by design — not retrofitted. We start with your compliance requirements, then build the automation around them.
AI handles the payer-specific prior auth form population, submission, and status tracking. What takes 2–3 hours per case manually takes 20 minutes with AI assistance. Staff handles exceptions; AI handles volume.
80% time reduction · 3× capacityAutomated appointment confirmation, reminder sequences, and cancellation capture. Reduces no-show rate 30–40% and fills cancellations automatically from your waitlist — without staff making calls all day.
30–40% no-show reductionAI drafts structured clinical notes from encounter summaries or voice input. Physicians review and finalize — not write from scratch. Saves 45–90 minutes per provider per day on documentation alone.
45–90 min/day per providerAI flags encounters with likely coding gaps before they leave the office. Catches the missed diagnoses and undercoded procedures that cost Michigan practices $50,000–$200,000 per year in lost revenue.
$50K–200K annual recoveryAutomated follow-up messages for lab results notification, care plan reminders, and preventive care outreach — through HIPAA-compliant messaging channels only. No PHI through unsecured SMS.
Fully compliant · Zero PHI exposureAI tracks every outgoing referral — status, response received, follow-up needed. Nothing falls through the cracks. Referral loop closure time drops from weeks to days.
Referral closure: weeks → daysPublic AI models (ChatGPT, Claude via consumer API, Google Gemini) do not offer a BAA for standard subscriptions. Entering PHI into these systems is a HIPAA violation — regardless of whether you intend to use the output for clinical purposes.
The systems we build use Claude API via Anthropic's enterprise agreements (which include BAA), on-premise models (Llama 3.1 / Mistral on your own hardware), or Microsoft Azure OpenAI — all with proper BAA execution. Your data stays in a compliant environment from intake to output.
Every Michigan practice we work with receives a completed BAA before we begin any scoping conversation involving patient data.
Michigan healthcare practices with administrative functions qualifying as "technical training" have successfully used Going PRO Talent Fund reimbursements for AI system training — $1,500–$3,000 per employee. Qualifying practices with clinical operations can also access the Detroit Small Business Tech Fund. We help you structure the engagement to maximize grant recovery.
Download the Michigan Grant Guide →30 minutes. We walk through your practice's specific compliance situation and where AI can save your team the most time — no generic advice.
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