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.
Before Behavioral Health Adds AI, Fix the Workflow
By Jelard Macalino, Chief Information Officer, Central City Health AI is getting attention in healthcare. The promise is clear: faster documentation, better communication, smarter routing, better reporting, and less administrative burden on teams. But in behavioral health, we need to ...
Rethinking Behavioral Health and Care Continuity with AI
Behavioral health has long lagged behind the rest of the healthcare industry. While hospitals and specialty care practices have evolved their recordkeeping, imaging, and data analysis from manually-ridden paperwork formats to automated and digitized tools over the past two decades, ...
Moving Beyond Efficiency: How Imaging AI Redefines Performance in Healthcare
By Ameena Elahi, Associate Director of AI Initiatives, Penn Medicine Rethinking the Value of Imaging AI: Focusing Beyond Speed When health systems start assessing imaging AI, the first question is nearly always some form of: How much quicker will this ...
Imaging Innovations Drive Personalized Radiation Therapy
By Maria Dimopoulos, Assistant Professor, Radiation Oncology, Icahn School of Medicine at Mount Sinai A Foundation Built on Imaging For more than a century, advances in medical imaging and cancer care have evolved in tandem, shaping modern radiation oncology. From ...
Remote Health Monitoring: Health Equity Equalizer or False Prophet?
By Meika Neblett, Interim VP and Chief Medical Officer, WellStar Cobb Medical Center The expansion of digital health has spurred optimism about its potential to improve access, provide continuous care beyond hospital walls, detect early signs of deterioration, and close ...
Canon Medical Systems USA: Made for Every Life: Canon Medical’s Humane, High-Impact Imaging
The healthcare industry is marked by persistent challenges—staffing shortages, workforce burnout, and the need to demonstrate ROI amid stringent financial constraints. These collective forces necessitate rethinking investment priorities, innovation pathways, and technological advancements that enhance clinical performance and patient outcomes ...
Making Revenue Cycle Work Smarter
By Amy Simpson, Revenue Cycle/Pre-Service Operations Director, Wellstar Health System Automation has transitioned from a future consideration to an essential component across all facets of the revenue cycle. The integration of automation platforms is critical for scalable healthcare organizations, necessitating ...
Healthcare’s Next AI Problem Isn’t Innovation. It’s Execution.
By Abishek Bhat, VP Business Development, Trigent Software If you talk to healthcare IT leaders today, the conversation around AI feels noticeably different from even a year ago. Not long ago, most discussions were centered on experimentation, piloting documentation tools, ...
Driving Revenue Cycle Transformation Through Analytics, Automation, and AI
By Michael Laukaitis, Director of Revenue Cycle Analytics, Accounting and Quality Assurance, UT Southwestern Medical Center The revenue cycle has never been a static function; however, in recent years, it has evolved faster than ever. At our organization, the revenue ...
Leveraging AI, Automation, and Data Analytics in a Hospice Setting
By Lindsay Myers, VP of Revenue Cycle & HIM, Chapters Health System In the hospice setting, the revenue cycle is not only complex but also uniquely fragile, as billing cannot proceed without complete documentation. The sequential nature of hospice billing, ...