Practice Technology

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 primary care physicians should know about developing science that moves beyond skin substitutes.

Practices say technology is essential to staying independent but don't fully trust their current tools, and a Veradigm strategist explains the gap.

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

How public LLMs store and reuse information, and why typing patient details into them could be a privacy disaster waiting to happen

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

The number of doctors using AI tools is rapidly increasing, but for a smaller practice, does the business case make sense?

Vibe-coded AI implementations can present serious risks to health data privacy, protection and, ultimately, to health care function.

Veradigm's Aaron Ledbetter, M.P.P., M.H.S.A., unpacks what the company's 2026 State of Independent Practice report reveals about why denied claims, payer complexity and administrative overload keep outrunning the tools practices are using to fight them.

An empty exam room is more than a missed appointment; it’s a breakdown in patient engagement.

AI is reshaping how doctors work, but unchecked adoption could do more harm than good