Running a scaling, multi-location practice means time is your most valuable asset. We know you don't have hours to scour the web for industry news, so we've hand-picked insights for you.

From how one operator builds leaders before he builds locations to how AI is reshaping patient expectations, here are the most actionable reads you need to stay ahead this week.

How One Operator Builds Directors Before He Builds Locations

In our current tight labor market, Al Moreau sees growth as a people problem first and a real estate problem second. He trains his next practice leaders in-house before he ever opens a new location, and won't acquire a practice unless it already has a team he can trust. (via Raintree)

Is AI a Bridge or a Barrier in Your Clinic?

A PT with 13 years in the clinic argues how you roll out AI tools matters as much as what you roll out. Used well, it clears documentation and admin so your clinicians spend their energy on the judgment only a human brings. Used carelessly, it chips away at the expertise your practice is built on. (via MedCity News)

Demand Is Outpacing Access, and Admin Burden Is Part of Why

APTA's new State of Pelvic Health report finds demand climbing while access stays capped by provider capacity, referral friction, reimbursement variability, and administrative load. The recommended fixes will sound familiar to any operator: strengthen the workforce, build collaborative care models, and use technology to clear the administrative drag keeping patients out of the schedule. A reminder that access problems are often operations problems in disguise. (via APTA)

What the First FDA-Cleared Heart-Screening AI Signals for Your Practice

A tool called EchoNext just became the first AI cleared to flag hidden heart disease from a standard, inexpensive ECG, and in a head-to-head on 3,200 ECGs it caught 77% of cases against 64% for cardiologists reading the same data. While you’re not running ECGs, the direction of travel matters: AI is earning trust fastest where it augments a routine step and catches what people miss. (via The New York Times)

A breakdown of what in the name of AI you should actually be paying attention to: AI-native healthcare and the human-agent workforce

“AI-native healthcare” may sound impressive, but the key takeaway is clear: AI works best with clean, connected, and usable data. Winning companies won’t just add agents to chaotic systems. They’ll redesign workflows so humans and AI can collaborate safely and effectively.

Verdict: ✅ Worth paying attention to

Say the word "profit" to a room of clinicians and half of them will flinch — as if margin and good care can't share a sentence.

Indie Health CEO and Co-founder Eddie Czech argues business health and patient health aren't in tension; the margin you free up by running efficiently is exactly what funds better care. His efficiency-first framework gives independent practices three places to start:

1. Automate workflows. Automation can help practices recover lost productivity, allowing staff to focus more of their time on patients and timely submission of claims. 

2. Optimize patient lifecycles. Use telehealth, remote monitoring, and automated communications to engage patients between sessions and keep them connected to their care plan. 

3. Run on data. Most practices operate without visibility into key performance metrics, making it impossible to evaluate the effectiveness of operational efforts. Practices must know what’s working (and what’s not) to ensure that they’re driving efficiency and that it’s translating into profitability and positive patient outcomes.

Thanks for joining us for another edition of Practice Independence — we’ll see you next week!

PS: We bring together independent practice owners for off-the-record conversations about what's actually working. Small rooms. Real talk. Reply to this email if you’re interested in attending or hosting a dinner near you.

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