At the ViVE conference in LA, Smarter Technologies Chief Medical Officer Ruben Amarasingham MD talked with Katie Adams about the company's larger goals for AI: to improve the accuracy of data and make healthcare less burdensome for physicians and clinicians.
AI is not a silver bullet, but its thoughtful application to administrative automation offers one of the most realistic paths to reducing healthcare costs without sacrificing quality.
In a recent interview, Esperion president and CEO, Sheldon Koenig talks about the reality of statin intolerance and his company’s expansion into new diseases
Healthcare providers need to be thinking not only about the experience that patients need and want now, but the experience they’re going to need and want down the road.
Any regulations applied won’t be as simple as putting on a Band-Aid and forgetting about future problems. To regulate appropriately, we need to learn from the past and act quickly as AI is rapidly incorporated into healthcare.
Collective Health partnered with Google Cloud to launch an AI-powered system that helps members navigate benefits and streamlines plan administration for employers.
The core challenge for leadership is no longer merely managing direct vendors; it’s the cascading risk of the "nth-party" supplier.
In a landscape where complexity has long been the norm, the power of one lies not just in unification, but in intelligence and automation.
As AI-enabled coding increasingly adjudicates and reimburses claims on the first pass, often at higher levels, payers face a growing challenge: traditional cost-containment mechanisms are unable to keep pace.
In prenatal cardiology, that clarity can mean earlier diagnoses, safer deliveries, and better supported families who are prepared for what lies ahead.
Technology alone won’t solve prior authorization. But refusing to adopt it guarantees the status quo: a system where insurers operate at machine speed, providers operate at human speed, and patients pay the price in delayed care.
Early experience and comfort with AI benefits everyone. Nurses who understand how to work alongside technology are better equipped to deliver high-quality care, adapt to new systems, and navigate increasingly complex clinical environments.
Greenway Health blends smart technology with human expertise to elevate revenue cycle.
Healthcare can transform only when strategy, workflow, data, and human connection operate together with a single purpose: strengthen the relationship at the center of care.
Healthcare leaders must resist using AI as a substitute for staffing. Instead, invest in workforce optimization technology that empowers nurses, creates flexible pathways, and addresses the systemic issues driving burnout.
Giving healthcare teams powerful AI tools without training undermines their ability to use potentially system-changing tools safely and effectively.
The AI revolution doesn't mean erasing the value of humans. It means giving nurses more time to do what they signed up to do — deliver care directly to patients.
AI can help health plans reduce friction, speed revenue-cycle throughput, and improve member experience, but only when it is deployed with strong data discipline, modern integration patterns, and a governance model that treats AI as “augmented intelligence,” meaning powerful, assistive, and accountable.