For a busy medical practice, AI’s appeal is simple: less time on documentation and admin, more time with patients (and fewer evenings spent charting). That win is real and close at hand — and it sits inside HIPAA, which smaller practices can’t afford to overlook. Here’s how to adopt AI right, and how dgm implements it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry; clinical and compliance decisions stay with your team.)

What AI actually does for medical practices

The honest framing: AI cuts the documentation and administrative load that burns out clinicians and staff, freeing time for patients. The standout is ambient documentation, which drafts notes from the visit; scheduling, intake, prior auth, and billing round out the high-value list.

High-value use cases

  • Ambient clinical documentation (AI scribing) — draft notes from the visit, reviewed and signed by the clinician.
  • Scheduling and intake — booking, reminders, and pre-visit intake.
  • Prior authorization and billing — drafting and assembling the paperwork that consumes front-office time.
  • Patient communication — drafting routine responses for staff review.

All are repetitive and language-heavy — the sweet spot for AI, and lower-risk than clinical decision-making.

The compliance reality: HIPAA and BAAs

Most practices that transmit PHI electronically for standard transactions are HIPAA covered entities, so:

  • Any AI vendor handling PHI is a business associate and needs a signed BAA — not just an NDA.
  • The BAA should restrict the vendor from training its models on your patient data.
  • AI-generated notes and outputs require clinician review.

A practical caution: smaller practices often lack the dedicated compliance review larger systems apply, so getting the BAA and access controls right is especially important. dgm builds these technical controls into the implementation; clinical and compliance decisions stay with you.

How to start

Start with ambient documentation — the clearest time-back win for most practices — with a BAA executed and clinician review built in. Prove the time saved, then expand into scheduling, intake, and billing. dgm’s assessment finds the right first workflow and confirms the controls.

How dgm helps

dgm implements osFoundry and other AI for US medical practices — within HIPAA-appropriate controls, focused on the workflows that give clinicians time back, with training included. Pricing is fixed and public: a $399 assessment and $3,999/month implementation, with no per-seat fees. If you’d rather explore the platform first, go straight to osFoundry; if you want practice AI done right and compliantly, that’s where dgm comes in.