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The clinical data to identify mismatched coverage — and fix it before it becomes bad debt — is already sitting in your EHR.

A physician forecasts the effects of artificial intelligence as Medicare sets new rules starting next year.

Three in four patients now refuse to book with a provider rated below 4 stars

Organizations that recognize similarities to EHR and other previous transformations may be better positioned to move beyond experimentation and achieve value from their AI investments.

New Aflac survey data land as ChatGPT Health, Claude for Healthcare and Amazon's Health AI reach consumers at scale.

The OIG's own data suggest a narrower fix than the one CMS proposed

Now is the time to rethink point-of-care engagement in electronic health records

Physicians have been quick to adopt AI scribes. Here’s how to integrate them the right way.

A new global survey finds up to a third of patients never start prescribed treatment, and the gaps aren't about access — they're about a healthcare model still designed around the doctor's office as the front door.

Why value-based care requires AI that tells clinicians not just who is at risk, but which interventions are most likely to change outcomes.

A framework published in npj Digital Medicine ranks patient care and staff experience alongside price, and says a health system that cannot score a tool across all five domains may not be ready to buy it.

Overhead swallows roughly 60% of the typical practice's revenue, and most of it sits in a few line items. These nine moves pull real money off that number without touching the exam room — and the biggest lever is the one most owners are slowest to open.

What physicians need to know to begin considering malpractice liability with new artificial intelligence technology.

New research on whose names AI gives patients searching for care, and why many independents never make the list.

Anagram Security founder and CEO Harley Sugarman explains how everyday AI use can expose patient data — and what physician practices can do to reduce the risk.

Clinicians who learn to use AI as a tool, not a replacement, will be the ones who benefit.

Fax machines are gone from billing. Prior authorization and clinical communication are still stuck in 1985.

Two physicians and two health system executives got candid with Chief Healthcare Executive about denials, administrative burden and what AI is actually delivering.

A study of 1,281 patients, physicians, and pharma marketers finds cardiology, neurology, and OB/GYN patients increasingly rely on virtual visits to avoid delaying care — while dermatologists remain the most skeptical of its clinical value.

Four post-implementation phases — adoption, optimization, maintenance and monitoring — that turn patient access investments into measurable ROI

A Dartmouth study of 146,000 real patient-portal messages finds AI-drafted replies to patients often create more editing work than they save.

Your health care artificial intelligence is only as good as the data behind it. Here's how to get that right.

A four-point plan to focus attention on cybersecurity without a complete network overhaul.

What patients know, use, and trust about their coverage.

CliniComp's Sandra Johnson says cost and vendor unwillingness — not technology — are now the biggest barriers to data exchange























