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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.

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4 → 13+
locations grown through de novo expansion
20+
years scaling multi-site practices
Built
not bought: HIPAA-compliant AI tools on a practice budget

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Ten places AI can take work off your team's plate this month.

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.

  • Credentialing checks
  • Chart audits and documentation QA
  • Prior authorization prep
  • AI phone systems: the good and bad
  • Denial analysis
  • Plus a responsible-AI checklist
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What you'll get every Tuesday

Written by an operator, for operators.

01

The case for operational AI

Why the biggest opportunity is behind the front desk, and where AI pays back first.

02

Playbooks

Step-by-step use cases: credentialing, chart audits, scheduling, phones, revenue cycle, reporting.

03

Scaling practices

De novo growth, PE partnerships and running many locations with the same playbook.

04

Responsible AI

HIPAA, BAAs and privacy by design, with affordable paths for practices without an enterprise budget.

The series

Coming up

Get each one in your inbox →
  1. Sep 29The Biggest AI Opportunity in Healthcare Isn't in the Exam RoomThe case
  2. Oct 13Where to Start: 5 Operational Workflows Ready for AI TodayThe case
  3. Oct 27Credentialing Is a Data Problem. AI Solves Data Problems.Playbook
  4. Nov 10AI Phone Systems: The Good, the Bad and What to Ask Before You BuyPlaybook

Straight talk on HIPAA

Free AI chatbots aren't HIPAA compliant. Enterprise AI is out of reach for most practices.

That's the gap most small and mid-size practices are stuck in. You'll learn the affordable, compliant paths that actually work:

  • Start with work that contains no patient data
  • Use AI already covered by your EHR's BAA
  • Pay-as-you-go cloud AI under a signed BAA
  • De-identified data and local models
Scott Goldman

About

Hi, I'm Scott Goldman.

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

Affordable, HIPAA-compliant AI for your practice.

An assessment of where AI fits your operations, a compliant setup you can afford, and staff training on what never goes into consumer tools.

Start a conversation

Limited availability each quarter.

Questions practice leaders ask

Operational AI, answered.

Are free AI chatbots HIPAA compliant?

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.

How can a small medical practice use AI without violating HIPAA?

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.

What is operational AI in healthcare?

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.

Where should a practice start with AI?

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.

Are AI phone systems a good idea for medical practices?

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.

Who writes The Healthcare Operator?

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.

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