According to the Centers for Disease Control and Prevention (CDC), rural Americans have a higher risk of premature death from heart disease, cancer, respiratory disease, stroke, and unintentional injuries than urban residents. Challenges related to social determinants of health (SDOH) such as poverty, lack of healthy food options, and poor transportation contribute to the problem.
Access also remains a key hurdle. One in five Americans lives in a rural area, where provider shortages account
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Reimagining Parkinson’s Research: Unlocking the Power of Real-World Data and AI
Parkinson’s Disease (PD) is considered one of the most complex and challenging neurodegenerative disorders of our time. It affects nearly one million people in the United States alone, with approximately 90,000 new diagnoses each year. Characterized by progressive motor symptoms such as tremor, rigidity, and bradykinesia, as well as a host of non-motor symptoms, Parkinson’s presents with a wide range of manifestations and variable progression patterns. This complexity makes it particularly
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AI in Pharmacovigilance: Why True Transformation Starts with Workflow Re-Engineering
There is no doubt that the introduction of artificial intelligence into the field of pharmacovigilance is making waves. According to a 2025 McKinsey survey of leaders in the pharma and MedTech industries, 32% of life sciences organizations are spending $5 million or more on generative AI budgets. Specifically, there was a 7% increase in the number of respondents expecting to allocate more than $10 million in generative AI budgets, and a 5% increase in respondents planning to spend between $5 and
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The End of Manual RCM? How AI is Automating Claim Remediation
In the complex and often frustrating world of healthcare billing, claim denials, underpayments, and repeated resubmissions are among the most persistent and costly challenges faced by providers. The process is time-consuming, error-prone, and resource-intensive which results in wasted time and detracts from patient care. Fortunately, advanced machine learning (ML) and artificial intelligence (AI) are transforming this process, by helping providers reduce the time, cost, and frustration
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The AI Dilemma—A New Arms Race in Healthcare Cybersecurity
Artificial intelligence is becoming healthcare’s greatest disruptor. AI is improving how we optimize diagnostics, personalize care, and automate administrative tasks at a scale never seen before. But while hospitals and healthcare organizations rush to harness AI’s potential, cybercriminals are doing the same to exploit its weaknesses.
The result is a new kind of arms race. How can healthcare leaders harness AI to improve patient care before attackers weaponize it to launch cyberattacks
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Healthcare Workforce Management: Don’t Let Fear of Change Hold You Back
From AI and robot-assisted surgery to CRISPR genetic editing that designs personalized medicine to 3D printing creating custom prosthetics and building organ models for surgical practice, healthcare has routinely looked to stunning innovations in technology to improve patient outcomes and push forward extraordinary advances in medical knowledge. There have been notable technology advances for patient care and management, but the healthcare industry remains hesitant to embrace change in solutions
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The Longevity Code: How AI Gait Analysis Is Rewriting the Future of Aging
Americans are living longer lives than ever before, but are we living better? The data is sobering: while life expectancy continues to rise, healthspan, or the number of years spent in good health, isn’t keeping up. A recent study published in the JAMA Network highlights this growing gap, with the United States facing a troubling 12-year disparity between lifespan and healthspan. That means millions of Americans are spending over a decade grappling with chronic illness, mobility issues and
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AI-Driven Diagnostics: The Future of Precision in Medical Imaging
During the past ten years, I’ve collaborated and invested in several innovative healthcare organizations, and I have realized that AI has extended beyond just being a supporting tool for medical purposes. It has proven, time after time, its capabilities in diagnostic applications. One of its most promising features is medical imaging, which could potentially drive operational speed rapidly and transform the entire future of medical capabilities in patient
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The Next Phase of RWE: Why Integration Matters More Than Data Collection
Real-world evidence (RWE) has become central to evaluating therapies, medical products, and health interventions—providing insight into how they perform outside controlled clinical trials. As healthcare systems seek more timely, representative, and cost-effective approaches to evidence generation, real-world data (RWD) is increasingly used to inform regulatory decisions, guide clinical practice, and shape health policy.
As RWE gains traction, fundamental questions remain: How do we ensure
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Healthcare’s Big Blind Spot: The Measurement Crisis in Inpatient Psychiatry
Healthcare is moving deeper into the value-based era. Metrics drive decisions, outcomes define quality, and performance data shapes reimbursement. Yet amid this transformation, inpatient psychiatry and behavioral healthcare remain the most notable outlier—excluded for a variety of reasons including stigmatization, subjectivity, and a high degree of variation in clinical operations from site to site.
Behavioral healthcare lacks the foundational standards and management models that have
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