Artificial Intelligence
Artificial Intelligence (AI) is reshaping the healthcare industry, offering groundbreaking innovations that enhance medical diagnosis, treatment, and overall patient care. By leveraging advanced algorithms and ML, AI systems can analyze enormous amount of clinical data, identify patterns, and provide insights that improve clinical decision-making.
By enhancing diagnostic accuracy, streamlining operations, and enabling more precise treatments, AI is driving a new era of innovation, ultimately leading to better healthcare delivery and patient outcomes. To know more, read our Artificial Intelligence special issue.
AI to Combat Hospital-Acquired Infections – A Revolution for Patient Safety
By Claire Paris, MD MBA FHM, VP of Medical Affairs and Chief Medical Officer, UNC Lenoir Healthcare If we could save upwards of $30 billion a year on avoidable healthcare costs, why wouldn’t we? This is what the CDC estimates ...
Leveraging AI in Revenue Cycle Management for Healthcare
By Jennifer Wheeler, VP of Revenue Cycle, Stone Diagnostics The integration of Artificial Intelligence (AI), automation, and data analytics into the revenue cycle management (RCM) of healthcare facilities marks a transformative leap toward operational excellence. In an era where financial ...
The Evolution of Decision Support Tools in Healthcare: AI as the Future Physician
By Tom Horal, CTO, Brooke Army Medical Center In the realm of healthcare, decision support tools have long been heralded as essential aids for physicians in navigating complex medical scenarios and delivering optimal patient care. With the rapid advancement of ...
Artificial intelligence (AI) will transform the clinical workflow with the next-generation technology
By Dilip Nath, DBA, MBA, CHCIO, CDH-E, AVP & Deputy CIO, Downstate Health Sciences University Introduction AI is rapidly becoming a game changer with its next generation technologies in improvising clinical workflows, promising enhanced diagnostics, personalized treatment plans and optimized ...
Artificial Intelligence (AI) Helps to Tell a More Accurate Patient Story
By Dr. Sowmya Viswanathan, Chief Physician Executive, Marlene Besnoff, CDI Program Director and Dr. Laura Arline, Chief Quality Officer, BayCare Health System In recent years, the healthcare industry has witnessed significant advancements in technology, particularly in the field of AI ...
Nurturing Nurses: How AI-Driven Self-Care Tools Can Transform Daily Well-being
By Joy N. White, Director, Clinical Care Operations, UCI Health In the bustling corridors of healthcare, nurses epitomize dedication and compassion.They tirelessly navigate long shifts, demanding tasks, and emotional strains. Their profession's relentless pace highlights the overlooked necessity of self-care ...
There’s a Thin Line Between Copilot and Backseat Driver: What Informatics Can Tell Us About Healthcare AI
By Christopher J. Kelly, Associate CMIO for Data and Analytics, MultiCare Health System A baby girl comes to the pediatric ophthalmologist. She bounces happily in her mother’s lap but has a pronounced crossed eye. Infantile esotropia is usually a surgical ...
The Necessity of Involving a Multidisciplinary Team in EHR AI Algorithm and Technology Creation for Clinical Decision-making
By Teray Johnson, Director, Data Automation and Transformation, Lifepoint Health In 2020, hospitals across the world were in the throes of the COVID-19 pandemic. Burnout was rampant among administrative and clinical staff. The promise of the EHR to reduce physicians’ ...
The Present and Future of Artificial Intelligence in Gastroenterology
By Adrian Pona, M.D., and Veeral M. Oza M.D., Medical Director-Gastroenterology, St. Francis-Bon Secours Health System Gastroenterology is a unique specialty using endoscopy to manage hepatic, pancreatic, and gastrointestinal diseases. Advanced gastroenterology, also known as advanced endoscopy or interventional endoscopy, ...
Etiometry: Pioneering the use of AI in Health Tech – A Trailblazer Before AI Became Mainstream
Talent shortage and burnout are common issues in the healthcare industry. Healthcare facilities and hospitals struggle to optimize their medical staff while keeping operating and administrative costs reasonable. Moreover, the mental load on clinicians to make accurate clinical decisions based ...