The application of AI technology is part of a carefully orchestrated effort dependent on human intelligence, and the collaboration of physicians, disease-specific specialists, nurses, data scientists, and technologists. Done right, these efforts can lead to profound benefits, and offer a promising future for clinical research and patient care.
Across the U.S., nearly 700 rural hospitals are at risk of closure. When they shut down, the impacts cascade: broken continuity, delayed care, and increased cyber risk in every new system a patient must navigate.
At a time when AI is reshaping pharma, Reverba Global CEO Cheryl Lubbert explained in an interview why empathy, context, and ethics still require a human touch.
Providers stand to gain a lot by making smart AI and automation decisions, but that value depends on investing in the right places. It may be tempting to plug in a single-point solution to fix an immediate challenge, but a more strategic, long-term approach will unlock greater value.
The industry has thrown tech at the problem, consolidated, and invested in every which way. But we haven't fundamentally rethought how care is designed, delivered, or sustained. And until we do, no amount of technology will restore what healthcare has lost: its humanity. Here's how to do that.
In serving some of the most vulnerable and sick patient populations, this comprehensive approach can lead to improved outcomes while focusing on slowing disease progression.
Picture each patient with a computational model of their health where each treatable parameter (like weight, blood pressure, heart rate, exercise, inflammation, and blood chemistry) serves both as a marker for diagnosis and as an opportunity for treatment.
In today’s healthcare landscape, your choice of medical billing partner directly impacts your bottom line. What are the best medical billing outsourcing companies, and which one is right for you?
It’s a meaningful step. But declarations alone won’t fix a system still powered by fax machines, phone calls, and inconsistent rules. Real progress will require a modern digital infrastructure, aligned incentives, and coordinated action across both the public and private sectors.
Let’s not add salt to the wound of funding cuts and personnel changes by inadvertently inviting even more ransomware - here's a closer look at health’s endpoint holes, how federal cuts could ultimately help ransomware hackers, and what ecosystem defenders can do to step up and fight back.
Digital transformation, from a business perspective, must have two objectives: top-line revenue and bottom-line performance. To achieve these objectives, leading organizations consider these three elements.
Leaders in pharma’s AI age won’t be remembered for moving the fastest, but for earning and keeping trust along the way. Privacy will determine which companies pull ahead and which fall behind, making it one of the industry’s biggest tests.
Explore top-tier aesthetic certification programs that blend theory with hands-on training — perfect for health care pros ready to elevate their practice
The keys are establishing a culture that applauds ideas and learns from “failures” rather than seeking to place blame, recognizing that the best ideas can come from any source, and benefiting from cross-functional discussion and challenge.
If healthcare leaders hope to demonstrate ROI on AI investments, reduce clinician burnout, and meet compliance requirements, they must first ensure the integrity of their clinical data.
While this kind of innovation and change can be challenging and is often a significant investment, it represents a powerful combination that can benefit individuals, healthcare professionals, and laboratories.
If you want your company’s website to pop up on the right side of an AI-generated response, it’s crucial to build rich, authoritative content so that AI crawlers find your site and use your information to generate these overviews, leading patients to your digital front door. Here are some practical ways to do that.
It’s not that the data isn’t there. We have years of claims, pharmacy, and clinical data that can tell who’s at risk for serious behavioral health disorders, who’s currently being treated for them, and what actually works. The problem is how health plans are looking at all that data.