A recent survey from the American Medical Association found that 66% of medical providers used AI in some capacity in the past year. That represented a dramatic 78% increase from the prior year.
In healthcare — and specifically, clinical diagnostics — no single organization has unlimited resources. That’s why collaboration is essential for investing in diverse areas to make groundbreaking tools for diagnosis and treatment available to clinicians and the patients they serve.
In today’s healthcare environment, community hospital leaders face mounting pressure to do more with less—optimize revenue, improve quality, and retain a shrinking workforce. Against this backdrop, artificial intelligence (AI) has emerged as a powerful tool in medical coding, promising speed, accuracy, and efficiency.
The dermatology market in the U.S. is at a pivotal moment of transformation, with spending poised to climb from $40.55 billion in 2023 to $70 billion by 2030. This unprecedented growth mirrors past instances where blockbuster therapies revolutionized treatment for common conditions – from high blood pressure and cholesterol to anxiety and depression – but also triggered unsustainable cost trends.
A recent global survey of healthcare leaders found that 90% foresee an acceleration in digital transformation, as systems lean into virtual care, advanced tools and AI-driven innovations.
A new peer-reviewed study analyzed real-world data from patients of a large, risk-bearing provider, who were also covered by one of New Jersey’s largest health plans. It found that a non-invasive, home-based treatment for knee and back pain reduced musculoskeletal (MSK) healthcare costs by 81%. Total savings: nearly $9 million in just 20 months.
As the demand for outpatient care grows, so does the demand for new construction. Recent research projects the ambulatory surgery center (ASC) market to grow 21% by 2029—driven by the increasing demand for outpatient surgical procedures and rising patient preferences for these settings.
Julia.ai, a new AI-driven buyer-practice matchmaker, is poised to change the way DSOs in expansion mode find the right dental practices, boosting efficacy with ranked opportunities
AI is often positioned as a strategic imperative for revenue cycle efficiency, accuracy and sustainability. But translating AI from buzzword to operational backbone remains a steep climb in revenue cycle management.
It’s a changing world — and marketplace — for health and wellness providers. Mergers and acquisitions mean private equity firms are gaining an increasing share of the marketplace.1 And more and more nontraditional providers — retailers, insurance companies and advanced primary care providers — are entering the market.2
When medically complex patients require hospital care, they tend to experience longer recovery times than other patients do and are more likely to readmit to the ICU.1,2
When medically complex patients require hospital care, they tend to experience longer recovery times than other patients do and are more likely to readmit to the ICU.1,2
Clearwater, FL – Tuesday, June 10, 2025 – hellocare.ai, a leading AI-assisted virtual care delivery platform transforming hospital care models and operations, today announced it has entered into a collaboration with Mayo Clinic focused on ambient clinical intelligence.
Claim denials can be a huge headache for healthcare providers. In fact, one survey found that private payers initially deny 15 percent of medical claims. Worse? Providers end up spending almost $20 billion every year disputing those denials.
As Certificate of Need (CON) laws continue to evolve across the United States, healthcare executives are facing a regulatory landscape that is in rapid flux. These changes are opening the door to new growth opportunities—but also intensifying competition, escalating real estate costs, and increasing pressure on strategic planning.
Studies have shown a link between cardiovascular disease and oral health. The evidence is growing: oral health is connected to overall health.
Across the country, rural facilities are rewriting the playbook on heart and stroke care — making bold and creative moves in limited resource environments.
Early cancer detection through advanced imaging remains a cornerstone of breast cancer care. Identifying high-risk patients is crucial for implementing personalized screening protocols that can significantly improve early detection rates and allow for interventions that may reduce risk. Yet, concerning gaps persist in our healthcare system
In today’s consumer-focused healthcare landscape, mastering the early stages of patient engagement helps build trust, streamline care delivery and drive satisfaction — especially in settings like ASCs, where efficiency and personalized service intersect.
AI and machine learning are transforming healthcare at a breakneck pace—but progress isn’t all smooth sailing. As systems get smarter, the need for a smarter workforce grows too. According to a recent AHIMA survey, 75% of respondents say upskilling is essential just to keep up with the accelerated use of AI and other advanced technologies.