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.
The Future of Revenue Cycle Management (RCM): AI and Data Analytics
By Candice Hoshi, VP of Revenue Cycle, UCHealth In today’s rapidly evolving health care landscape, sustainability depends on quickly addressing key areas within revenue cycle management. The pressure to deliver value and reduce costs is constant. At UCHealth, we’re leaning ...
AI and Automation: The Next Frontier in Revenue Cycle
By Keisha Downes, VP of Middle Revenue Cycle, Beth Israel Lahey Health Ten. That was the number of clicks it took me, using an encoder, to manually code a simple tension headache- G44.209. While clicks may seem like part of ...
Overcoming the Stalemate: Making Your Next Move on Revenue Cycle Technology
By Beth Carlson, CRCO, WVU Medicine As healthcare organizations navigate the complex landscape of digital transformation, revenue cycle technology has emerged as a critical component for driving operational efficiency and financial sustainability. Yet today, every department seems to be in ...
Power of Partnerships: How Macedon Technologies Accelerated Healthcare Automation for Neuromonitoring Associates
As the healthcare industry continues to evolve with regulatory pressure and economic strain, healthcare providers are increasingly caught between digital modernization and the operational inertia of legacy systems. Repetitive and manually driven workflows, as well as industry-wide trends like mounting ...
The First Five Minutes: AI’s Edge in Emergency Care
By Karen E. Hunter, CNIO, Adventist Health The promise of artificial intelligence (AI) in healthcare is significant. In emergency departments, it’s enormous. But at our organization, we weren’t looking for hype. We were looking for help. Specifically, help for our ...
The Evolution of Patient Experience: Where We’ve Been and Where We’re Headed
By Garrett South, Sr Director of Patient Experience, CommonSpirit Health Redefining Patient Experience Today When we talk about patient experience today, we’re talking about the comprehensive journey a patient undergoes in healthcare—not just the clinical care but the entire journey ...
The Future of Healthcare: Pros and Cons of Virtual Nursing
By Dr. Melinda S. Kidder, CNO, U.S. Department of Health and Human Services As the world continues to embrace digital transformations, healthcare stands at the forefront of this evolution. One of the most intriguing developments in recent years is virtual ...
What can Artificial Intelligence (AI) do for Population Health?
By James Trumble, VP of Clinical Integration, TidalHealth Artificial intelligence (AI) and population health are relative newcomers as tools and approaches to change healthcare. AI is the next large disruption, already creating novel approaches to medications and medical diagnoses. The ...
Integrating AI Insights into Healthcare Workflows: Achieving Effective Adoption
By Rosemary Ventura, Chief Nursing Informatics Officer, University of Rochester Medical Center Artificial Intelligence (AI) has transformative potential for healthcare, offering significant improvements in diagnostic accuracy, reduction of the cognitive burden, and enhancement of operational efficiency. However, realizing these potentials ...
Proactive Care Management at Mahaska Health through Remote Patient Monitoring
By Bob Berbeco, CIO, Mahaska Health Healthcare technology is constantly evolving and driving numerous advancements in delivering patient care. Remote patient monitoring (RPM) is a subset of technologies that fall under the telehealth umbrella and a type of telemedicine where ...