The progression of artificial intelligence in healthcare has largely occurred in silos, with innovations developing within specific medical domains rather than across them. Yet some of the most promising advancements emerge when we apply technological breakthroughs from one field to another.
This is precisely the case with AI screening technologies originally developed for behavioral health that now show remarkable potential for movement disorder assessment and monitoring.
The Parallel
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How Hospitals Can Reduce the Threat of Workplace Violence
A recent report from the American Hospital Association draws welcome attention to a long-festering problem: the impact of violent attacks on a cornerstone of our healthcare system.
The report finds that hospitals in 2023 spent $18.27 billion to contend with a rising tide of violence both inside and outside their four walls. That includes $3.62 billion to protect workers, including violence prevention programs, training, technology, and other facility security measures.
It adds to a
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A New Era in Prostate Care: The Shift from Overtreatment to Precision Diagnosis
Understanding Prostate Cancer: Not All Are the Same
Prostate cancer is the second most common cancer in men, but what many don’t realize is that it’s not a one-size-fits-all disease. There are different types of prostate cancer—some grow very slowly and may never cause harm, while others are aggressive and can spread quickly if not treated in time.
Non-aggressive (low-risk) prostate cancer often grows so slowly that it may never need treatment. Many men with this type can safely
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The AI Paradox: Why AI Agents Are the Newest Risk in Healthcare Security
As artificial intelligence agents become increasingly embedded in clinical workflows - making decisions, accessing records, and interacting with patients - the traditional boundaries of identity and access management are blurring. In healthcare environments where clinical staff already represent a significant security risk due to complex workflows and high-pressure conditions, the introduction of AI agents acting on behalf of humans adds a new and underregulated attack surface.
These agents
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How Unified Security Platforms and AI Are Reducing False Alarms in Healthcare
False alarms in the healthcare setting directly impact the efficiency of security resources and the patient and staff experience. A recent study published in Science Direct noted that approximately 80%–90% of alarms in the clinical setting are false. The same study found that 65% of ICU nurses agreed that disruptive alarms can affect patient care, and less than 26% of alarms were responded to in less than 5 minutes.
Protecting patients and staff while mitigating workplace violence and
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The Siloed Trap: Why Fragmented EHR Workflows Are Failing Primary Care
It’s 4:37 p.m. in a primary care clinic in Mississippi. The waiting room is still half full. Dr. Rubin, a pediatric specialist, just wrapped up with a newborn’s checkup, and now faces an uphill sprint: reconciling three faxes, documenting vitals from two overlapping visits, and reviewing the urgent message from a parent sent through the portal. All before she can log off.
None of this is unfamiliar. For many primary care providers, this daily scramble is the byproduct of fragmented workflows,
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The Real Healthcare Emergency: Why Interoperability is the Unsolved Foundation of Digital Health
Clinical information isn’t moving where it needs to go.
Despite decades of investment in health IT, the industry is still grappling with basic data exchange. As recently as 2023, 47.4% of small hospitals and 42.8% of rural hospitals still relied on mail or fax as their primary method of exchanging patient information. Even among medium and large hospitals, nearly one third still rely on these methods.
These manual processes take more time, introduce more risk, and delay care—yet they
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Beyond the Algorithm: Why Data Infrastructure is the Key to Successful AI in Healthcare
Artificial intelligence (AI) continues to hold the spotlight in healthcare transformation, promising everything from predictive care to streamlined administrative processes. Visionary use cases include anticipating patient deterioration, optimizing care coordination, accelerating prior authorizations, and unlocking insights from clinical notes that would otherwise remain buried.
But despite the promise, adoption remains uneven. Many organizations have piloted AI initiatives only to struggle
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How Healthcare CIOs Can Solve the Unstructured Data Crisis and Reduce Storage Costs
Healthcare organizations are experiencing a seismic shift in how they handle unstructured data. From digital pathology to high-resolution imaging, genomic sequencing, and machine-generated sensor data, the volume of data that doesn’t fit neatly into rows and columns of a database has exploded across hospitals, research labs, and academic institutions.
While this unstructured data is intrinsic to patient care and scientific discovery, it’s also creating a mounting crisis for
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Beyond One-Size-Fits-All: A Guide to Precision Medicine and Personalized Healthcare
Personalized medicine, also known as precision medicine, is redefining healthcare by tailoring medical treatment to the unique characteristics of each individual. This approach integrates genetic, environmental, and lifestyle factors to enhance disease prevention, diagnosis, and treatment. The potential benefits of precision medicine are profound, and include numerous foundations and applications which we will explore in this piece. It must be noted, however, that the implementation of
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