The healthcare industry has long been built on the promise of providing uninterrupted care across a vast and interconnected ecosystem. However, in recent years, the sector has faced an escalating threat—cyberattacks. Data breaches, ransomware attacks, and system vulnerabilities have emerged as major disruptors, threatening sensitive patient information and the very foundation of patient care. As healthcare providers increasingly rely on digital systems, these threats pose significant challenges
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Patients Prefer AI Over Doctors — Is The Future of Healthcare Here?
AI has left a mark on every industry and the healthcare industry is no exception. Over the years, AI has been integrated into important parts of the healthcare system, such as diagnosis, treatment, patient care, and daily administrative processes. But we’re left to wonder if the large-scale integration of AI could mean that patients are starting to rely on AI instead of choosing one-on-one interaction with medical professionals.
Understanding the Shift in Patient Preferences
Over 83
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A Synchronized Methodology to Optimize Patient Access Operations
Inefficiencies in patient access and financial clearance processes create delays in the patient’s journey from initial point of contact to date of service, contributing to revenue leakage and lower patient satisfaction. By streamlining the outdated, time-consuming, and cost-intensive processes that are often the root of the problem, healthcare organizations can eliminate those inefficiencies and ensure that patients are financially secure and have
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Strengthening Background Screening Amidst the Nursing Shortage
The nursing profession is facing an unprecedented crisis, with burnout reaching critical levels due to a severe shortage of nurses. In 2023, the United States saw a shortfall of about 1.1 million nurses. This dire situation has created a twofold challenge: the pressing need to recruit new nurses while simultaneously ensuring the intake of top talent to bridge workforce gaps and uphold high standards of patient care and safety.
Nurses are increasingly advocating for more manageable
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The Role of DLT in Cross-Border Healthcare Data Sharing
The inability to access appropriate care close to home has been a long-standing cause of health inequity in the United States and around the world, and the COVID-19 pandemic made the detrimental effects of this more apparent. A silver lining of the pandemic was the accelerated development and deployment of health technologies that enabled remote care delivery, allowing patients and providers to connect via a variety of telemedicine platforms and data tracking of vaccination status
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From Hospital Care to Rehabilitation: Why the Secure Transfer of Data is Critical to a Successful Patient Journey
Throughout an individual’s healthcare journey, they may circulate through various facilities. For example, what might begin at a primary care provider’s (PCP) office may escalate to a hospital stay, followed by a rehabilitation center. At each step of this journey, a patient’s information must be documented and transferred to the respective providers and, even more importantly, remain secure in the process. This can be accomplished by ensuring the devices - transferring
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The High Cost of Healthcare Dysfunction: Misaligned Incentives and Data Chaos
Healthcare has historically been slow to adopt new or innovative technology, even as its inherent complexity frustrates providers and patients and its inefficiencies fuel public distrust. Health systems, plans, and providers are notoriously risk-averse—and understandably so, as a technology malfunction in this sector can have life-threatening consequences.
Yet, there are strong reasons to embrace innovation, not least due to financial imperatives. Recent analysis from PwC suggests that by
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Neuro-Symbolic AI in Healthcare: Unlocking Precision Medicine
Until recently, the term “symbolic” bore negative connotations in AI because it harkened back to the failures to achieve symbolic thinking during the so-called “AI winter” of the 1980s. Since then, generative AI has demonstrated the masterly capacities of neural networks at scale.
Generative AI has relieved doctors of their administrative and cognitive burdens, for example, by handling administration and paperwork, including clinical summaries. More than 70 percent of healthcare organizations
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Optimizing MIPS Value Pathways (MVPs) for Oncology Practices in 2025
The Centers for Medicare and Medicaid Services (CMS) introduced the MIPS Value Pathways (MVPs) as part of its ongoing revisions to the Merit-Based Incentive Payment System (MIPS) program, which was established in 2017 to encourage ongoing and consistent quality, efficiency, and improvement in medical practices. The MVP framework was designed to ease the burden imposed on clinicians and their administrators who participate in the MIPS program. Traditionally, MIPS scores have been calculated based
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Bridging Healthcare Disparities in Limb Loss Through Data-Driven Strategies
Limb loss and limb difference impact millions of people globally, with over 2.3 million individuals in the United States alone who are affected, a number expected to rise to 3.6 million by 2050. This rise in prevalence presents significant healthcare and economic challenges, necessitating innovative, data-driven solutions to improve patient care, quality of life (QOL) and healthcare equity.
The National Institutes of Health (NIH) has taken a leading role in addressing these challenges
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