Process

Atrial fibrillation (AFib) poses a significant health concern, renowned for its severe complications resulting in strokes and blood clots. Early detection and prediction could fundamentally transform patient outcomes, offering timely intervention and preventive measures. UNAFIED, an AI model that analyzes electronic health records (EHR), steps

In an era where clinical trials face mounting complexities, administrative hurdles, and the ever-growing demand for precision, Iqvia Laboratories has introduced an innovative platform to redefine laboratory workflows. The Site Lab Navigator, a cutting-edge solution from the North Carolina-based clinical software company, is poised to revolutionize

The healthcare industry suffered a major blow in February 2024 when a cyberattack on Change Healthcare disrupted operations and compromised patient data across the United States. This unprecedented event forced the healthcare sector to rethink and revamp its approach to cybersecurity. The Impact of the Cyberattack Immediate Repercussions The

The healthcare industry is undergoing a transformation with the introduction of advanced AI solutions like Microsoft’s Dragon Copilot, an innovation poised to tackle prevalent issues such as clinician burnout and administrative overload. With its cutting-edge technology, Dragon Copilot is designed to enhance both patient and provider experiences b

The University of Delaware is currently evaluating the possibility of withdrawing from the State of Delaware's group healthcare plan due to significantly rising costs. This issue was prominently highlighted during recent faculty senate meetings and has created noticeable concern within the university community. One of the critical factors

Process intelligence can revolutionize healthcare delivery by analyzing and improving complex workflows, leading to increased efficiency and better patient outcomes. By utilizing advanced data analytics and machine learning, healthcare organizations can identify bottlenecks, streamline operations, and predict potential issues before they arise.