The case for operational AI
Why the biggest opportunity is behind the front desk, and where AI pays back first.
A weekly newsletter for practice leaders
Practical playbooks on operations, technology and AI for practice administrators, COOs and physician owners. No hype, no jargon, and never at the expense of patient privacy.
Get the free guide 10 Operational AI Use Cases when you join. Unsubscribe anytime.
Free when you subscribe
A six-page, no-fluff guide. Each use case covers the problem, what AI does, a simple first step and what to watch out for.
What you'll get every Tuesday
Why the biggest opportunity is behind the front desk, and where AI pays back first.
Step-by-step use cases: credentialing, chart audits, scheduling, phones, revenue cycle, reporting.
De novo growth, PE partnerships and running many locations with the same playbook.
HIPAA, BAAs and privacy by design, with affordable paths for practices without an enterprise budget.
The series
Straight talk on HIPAA
That's the gap most small and mid-size practices are stuck in. You'll learn the affordable, compliant paths that actually work:
About
I've spent more than 20 years in healthcare operations. I helped grow a dermatology practice from 4 to 13+ locations, led its partnership with a private equity–backed platform, and today lead regional operations across Georgia.
What sets my approach apart is that I build the tools myself. I apply AI and automation to the administrative work that consumes practice capacity, with compliance and patient privacy designed in from the start. The Healthcare Operator is where I share what works, and what doesn't.
Work with Scott · Goldman Technology
An assessment of where AI fits your operations, a compliant setup you can afford, and staff training on what never goes into consumer tools.
Limited availability each quarter.
Questions practice leaders ask
No. The free and standard consumer versions of popular AI chatbots do not come with a Business Associate Agreement (BAA), and what you type may be stored or used in ways a practice does not control. Patient names, notes, schedules, claims or any other protected health information should never be entered into them.
Start with work that contains no patient information, such as SOPs, policies, templates and aggregate reports. Check whether AI features already built into your EHR or practice management system are covered by your existing BAA. Properly de-identify data before using a standard tool, use pay-as-you-go AI through a major cloud platform that signs a BAA, or run an open model locally so data never leaves your systems. Confirm every approach with your compliance lead.
Operational AI applies artificial intelligence to the business side of healthcare rather than clinical care: credentialing, chart audits and documentation QA, prior authorizations, scheduling, phones, revenue cycle, reporting and staffing. The goal is to give time back to providers and staff and increase how many patients a practice can serve.
Pick a first use case that is high volume, rules-based, measurable, low in clinical risk and owned by a manager who wants it solved. Credentialing checks, documentation QA, denial analysis and routine reporting are common starting points.
They can answer calls 24/7 and handle routine requests like scheduling, directions and billing questions without hold times. The risks are frustrated patients, misrouted urgent or clinical calls, scheduling errors and HIPAA exposure, since voice agents hear protected health information. Use a vendor that signs a BAA, follow call-recording consent rules, set hard escalation rules for anything clinical and keep a human one step away.
Scott Goldman, a healthcare operations executive with more than 20 years of experience who helped grow a multi-site dermatology practice from 4 to 13+ locations, led its partnership with a private equity–backed platform, and builds HIPAA-compliant AI tools for practice operations.
General information, not legal or compliance advice.
One practical playbook every Tuesday. Free.