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.
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, ...
Pilots to Production: Taiwan’s Practical AI for Systems Under Strain
U.S. hospitals and health systems are navigating one of the most challenging periods in modern healthcare. Staffing shortages stretch clinical teams, patient volumes are rising, and administrative demands consume hours that clinicians no longer have. At the same time, health ...
Remote Health: From Crisis to Prevention
By Rama Kolli, CIO, Blue Cross and Blue Shield of Nebraska A tale of the not-too-distant future- Joe is 76 years old and lives alone on his farm in rural America. His wife passed away a few years ago, and ...
Remote Patient Monitoring: A Complement to – Not a Replacement of – Traditional Primary Care
By Charles O. Frazier, SVP and CMIO, Riverside Health As a CMIO, who has also practiced family medicine for over thirty years, I sometimes feel a little guilty that I don’t use telehealth as much as I should. I do ...
Strategic Evolution of RCM: Leveraging AI and Automation for Operational Excellence
By Evan Martin, VP of Revenue Cycle, ZoomCare As VP of revenue cycle at ZoomCare and host of the Wilshire IT RevCast RCM & IT podcast, I spent four years exploring automation's transformative role in healthcare. Conversations with industry experts, ...
Smarter Revenue Integrity with Artificial Intelligence
By Dr. Angela Comfort, AVP of Revenue Integrity, Montefiore Einstein Medical Center Artificial intelligence (AI) has moved beyond being a futuristic concept in healthcare. It is actively reshaping how hospitals, physician practices, and health systems manage their revenue cycle. Among ...