Is Your Healthcare Organization Ready to Implement AI?
A checklist for AI readiness from Nordic aims to help healthcare organizations avoid failure.
A checklist for AI readiness from Nordic aims to help healthcare organizations avoid failure.
Options abound for hospitals looking to capitalize on these new data transfer technologies, but so do potential pitfalls. For any hospital considering adopting these new solutions, here are some of the key questions and considerations that should be top of mind.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
Rural healthcare has always run on ingenuity, resilience, and community trust. What has too often been missing is the infrastructure strong enough to match that and sustain it at scale. That is what makes this moment different.
Access to AI-powered digital MSK care options reduces wait times and allows patients to move directly into the right care instead of stair-stepping from hospital inpatient to primary care physicians to physical therapy.
May has seen a slew of executive hires, exits and layoffs across the healthcare industry. For instance, Abridge, Highmark Health and Merck named new executives. There were also layoffs at organizations including Innovaccer, Intermountain Health and Novartis.
CMS finalized a new rule aimed at streamlining the No Surprises Act’s overwhelmed arbitration system. Provider groups largely welcomed the reforms — though some industry leaders said additional changes are still needed to address alleged misuse and improve transparency.
Veradigm examines key clinical trends, comorbidity profiles, and treatment trends across adolescence, reproductive years, and peri-/post-menopause. Download it today!
To truly drive safety at scale, healthcare organizations will have to look beyond just adverse events and better leverage insights from one of the most valuable, but often underutilized, sources of safety data: near misses.
The first truly scalable and transformative use of AI in medical imaging may not be autonomous diagnosis. Instead, it may be the creation of a "translation layer" designed to help patients actually understand the complex information they are already receiving.
Bayesian Health became the first company to receive FDA clearance for a continuous AI-powered sepsis monitoring system. The clearance follows years of clinical validation studies and real-world deployments across multiple health systems.
As the industry continues to pour money into AI and other emerging technologies, a more disciplined era of healthcare technology investment is taking shape.
Enterprise EHR boosts scalability, interoperability, and governance for large healthcare systems.
Will doctors or patients who are burned by one AI solution trust the next one they’re given? Probably not. That’s why every provider rolling out AI tools has to understand this risk and build governance into its development process.
A new UPMC report found that while most health systems now offer precision medicine programs, many still face challenges scaling them due to reimbursement, data integration and patient engagement issues. Health system leaders say the field’s future depends on embedding genomics into routine care, as well as proving its clinical and financial value.
Is a private-label product really better once you factor in performance, durability, and everything it takes to support it? Sometimes yes and sometimes no. The job is knowing the difference.
Three health systems — Mount Sinai, Michigan Medicine and the University of Kansas Health System — are suing CVS Health, alleging its pharmacy benefit manager diverted roughly $250 million in savings from the 340B program through “spread pricing” between 2020 and 2025.
As demand for long-term care rises, workforce stability is no longer just an operational concern. It is increasingly a direct measure of care quality itself. Organizations that fail to recognize this shift risk undermining both outcomes and access.