A hefty 63% of healthcare providers are grappling with revenue cycle management (RCM) staffing shortages, causing significant operational and patient-care challenges across the healthcare system.
The staffing deficit has created a challenging cycle: understaffed RCM departments struggle to handle claims denials, leading to delayed reimbursements and increased administrative costs. When staff members spend excessive time investigating and correcting denied claims, it prevents them from
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Optimizing Care Coordination Through AI-Driven Discharge Intelligence
Care coordination in hospitals is fundamentally tied to resource availability. A patient cannot be admitted if there are no beds available, leading to diversions or prolonged wait times. Optimizing patient transitions is essential to maintaining efficiency and ensuring high-quality care.
However, patient discharge schedules are inherently fluid, involving multiple stakeholders and numerous unpredictable factors. Clinical setbacks, adverse effects such as infections or delirium, and
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The Future of Cardiology: Virtual Group Care for Better Patient Access
We have a problem. Millions of Americans—especially women—are trapped in a healthcare system that cannot see them, hear them, or treat them in time.
Nearly half of U.S. counties don’t have a single cardiologist. That means 22 million people live in a cardiology desert, with no access to a specialist for heart disease—the leading cause of death in women. In many places, a patient with worrisome symptoms may have to wait months for an appointment.
This is more than just a physician shortage
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How 3D Modeling is Transforming Medical Imaging and Diagnosis
In the 21st century, we are fortunate to benefit from perpetual advances in medicine. Researchers continue to discover new procedures and treatments, and those advances often rely on technology. Improvements in hardware, internet speeds, interconnected devices, and artificial intelligence all contribute to higher efficiency, personalization, and accessibility in treatments.
Technologies such as advanced imaging and modeling (AIM), augmented reality/virtual reality (AR/VR), 3D printers,
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Roadmap for Implementing Practical AI Uses in Home Healthcare
There’s a common trap that businesses can fall into when it comes to technology – everyone wanting everything, all at once. At a time when new, cutting-edge platforms and services are introduced at a lightning pace, it’s easy to get distracted by the “shiny new object” that may not have practical application for your business – leading to wasted time and resources.
Leaders across all levels and functions of a company know they need to have technology to enable their processes. But for those
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Real-Time AI for Healthcare Agents: Improving Patient Interactions
When cold and flu season intensifies, calls to healthcare contact centers surge. Patients and policyholders need help with appointments, insurance, prescriptions, billing, and more. That places added pressure on agents, whom patients rely on for accurate and empathetic service.
Strong customer service is important in every industry, of course, but in healthcare, there’s extra urgency because every interaction may involve situations with serious medical and/or financial consequences.
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How to Balance AI and Human Expertise in the Middle Revenue Cycle
While artificial intelligence (AI) can automate many functions within the middle revenue cycle, there remains a need for human expertise to manage complex, nuanced decisions to ensure high accuracy and proper context. Ultimately, AI should complement – not replace – humans to drive greater efficiency without compromising quality.
In revenue cycle management (RCM), the middle cycle refers to the phase between the front end, which is patient access and care delivery, and the back end,
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AI in Primary Care: Reducing Burnout and Empowering Physicians
Primary care physicians struggle to process a novel's worth of data on each of their patients, every day, under stressful conditions. As healthcare invests billions in fast-evolving AI solutions, I’m convinced that leveraging AI to expand automation and save time in healthcare won't work unless we prioritize helping these doctors operate at the top of their license.
Every patient has a rich story. Primary care physicians are tasked with quickly finding and reviewing those personal stories in
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AI-Enabled Automation of Prescription Renewal Systems: Addressing Healthcare’s Hidden Burden
The management of prescription renewals represents one of healthcare’s most pressing yet understated challenges. This administrative burden not only strains medical practices but also creates significant barriers to patient care and medication adherence. As healthcare systems struggle to balance efficiency with quality of care, the need for innovative solutions in prescription renewal management has become increasingly urgent.
The scale of this challenge is striking. Physicians can spend up
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AI in Medical Imaging: Revolutionizing Cancer Treatment and Diagnostics
While it’s only relatively recently that AI became a household term, the technology is already having a major impact on society. But perhaps AI’s greatest impact has been in the medical field, specifically in the areas of diagnostics and devices.
Machine learning and other AI-based technologies have enabled researchers to gather data and undertake studies that are yielding an explosion of information on conditions and diseases of all kinds, as well as providing guidance on ways to prevent or
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