Artificial intelligence (AI) is no longer a futuristic concept in healthcare; it's rapidly becoming integral to how care is delivered, managed, and optimized. Yet many mental health organizations find themselves hesitant or unprepared to embrace AI technologies.
This hesitation isn't necessarily about resistance to innovation, but often stems from a lack of readiness or understanding of how AI fits into their current operations. Developing an AI strategy isn't about immediate implementation
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The Silent Emergency: Rethinking Hospital Asset Management with AI
In healthcare, emergencies are visible — alarms sound, monitors beep, and doctors rush. But not all crises are loud. Some, like poor hospital asset management, unfold quietly, costing time, money, and sometimes even lives. Amid the rush to adopt cutting-edge surgical robots, digital diagnostics, and AI-powered diagnostics, one foundational area continues to be overlooked: the way hospitals manage, maintain, and utilize their physical assets — from infusion pumps and ventilators to mobile
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How IoMT Ecosystems are Solving Medication Non-Adherence
It’s easy to assume that patients take the medications physicians prescribe. But the reality is that medication non-adherence represents one of healthcare's most persistent and costly challenges. The World Health Organization has identified that medication adherence often has a more significant impact on patient outcomes than the treatment itself. Yet the statistics paint a sobering picture of the current state of patient compliance.
In the United States alone, medication non-adherence
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AI Hype vs. Practical Integration for Your Healthcare Organization
AI is everywhere—but is it actually benefiting businesses? The numbers are certainly impressive: In a 2024 McKinsey survey about AI, 78 percent of respondents said their organizations use it in at least one business function‚ up from 55% the year before. Walk through any tech conference and the section for AI vendors gets bigger every year. Yet behind the growth and excitement is a more complex and sobering reality.
Early innovators get a lot of press and attention, leading to a sense of
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AI Reality Check: How Bad Data Is Undermining AI Implementations in Healthcare
What if the biggest threat to AI implementation in healthcare isn't regulation or funding, but impatience?
According to IBM's recent CEO survey, only 25% of AI initiatives have delivered expected ROI over the last few years, and only 16% have scaled enterprise-wide. Healthcare isn't immune to this AI disappointment. A Bessemer Venture Partners survey found that only 30% of AI pilots in healthcare reach production, held back by factors like data readiness.
With mounting pressures to
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We Can’t Wait for Washington to Act on Healthcare Cybersecurity
Over the past few years, I’ve watched as the number of ransomware attacks on healthcare organizations across America has continued to trend upwards - undermining patient care and exposing millions of medical records.
Since January alone: a cyber criminal copied the sensitive data of 5 million patients through IT vendor Episource; a hacker breached Connecticut Community Health Center’s systems accessing the medical records of 1 million patients; and a ransomware
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How Voice-Driven AI is Rebuilding Trust Between Clinicians and Tech
While artificial intelligence promises to revolutionize patient care, a fundamental trust deficit between clinicians and technology threatens to undermine its potential. The solution may not lie in more sophisticated algorithms or faster processors, but in something far more intuitive: the human voice. Voice-driven AI is emerging as the bridge that could finally reconcile clinicians with healthcare technology, transforming both the practice of medicine and the patient experience
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Combating the New Face of Healthcare Phishing and Medical Identity Theft
In 2024 alone, more than 276 million patient records were compromised in cyber attacks targeting healthcare organizations, a figure that equates to 758,000 exposed records every single day. The scale of the problem is shocking, but what’s even more sobering is that 92 percent of healthcare organizations reported experiencing at least one cyberattack last year. These aren’t just numbers; they reflect a growing crisis in trust, safety, and operational integrity across the entire healthcare system.
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The AI Malpractice Paradox: Why Healthcare Organizations Bear Full Legal Responsibility for Patient Harm
Healthcare organizations are installing artificial intelligence tools across their operations — diagnostic algorithms, predictive models, patient monitoring systems — while avoiding a fundamental question: Who gets sued when these systems harm patients?
Healthcare organizations bear full legal responsibility for any patient harm caused by AI tools they choose to use. This is direct medical malpractice liability, whether the AI was built internally or bought from a vendor. Yet while executives
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How Agentic AI Automates Healthcare Admin and Combats Burnout
Seventy minutes is enough time to complete a colonoscopy or a hernia repair; it's also the average time saved per patient visit when healthcare providers use fully automated administrative workflows that not just collect, but also act on data.
Clinicians are drowning in alerts, forms, and follow-ups, while $90 billion per year is spent on routine administrative tasks. Agentic AI brings a breakthrough, taking these informative alerts, and making decisions based on their context.
In
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