New Research Uses AI to Guide Radiation Treatment Protocols
In a study published in JACC: CardioOncology, a team from Brigham and Woman’s Hospital used an AI tool to better understand the risk of cardiac arrhythmia for patients undergoing radiation treatment for lung cancer. The results not only could lead to better treatment plans but also improve care for the estimated 1 in 6 patients who experience severe side effects, including death.
Ambient AI is Fast Becoming the Clinician’s Favorite Tool
The technology acts as a medical scribe, listening to the doctor-patient encounter and transcribing the interaction for the medical record. The finished product is available shortly after the encounter, enabling clinicians to quickly review and edit the information before it’s populated in the EHR.
Using AI to Address Nursing’s Biggest Pain Points
AI is the topic du jour in the healthcare space these days, and while a lot of the talk has centered on using the technology to improve back-office functions and give doctors more time in front of their patients, nursing leaders are eager to claim some of that spotlight.
Patients Are Finding Errors in Their Medical Records, and Want AI to Fix Them
The survey of more than 1,000 consumers, conducted by Propeller Insights for healthcare tech company Carta Healthcare earlier this month, finds an American public intrigued by the potential of AI, but also wary of its effects. For while 60% feel that the technology can improve the accuracy of medical records, more than half have concerns about security and more than 40% worry about accuracy.
There’s Value to Generative AI in Healthcare—if Leaders Understand Its Limits
While large language models like ChatGPT are poised to make substantial contributions to patient care, their immediate value likely won’t be derived in the ways clinicians and healthcare leaders think.
Improved Care Coordination with AI and Automation
Providers will increasingly look to AI and automation to drive operational efficiencies, improve care coordination and patient flow, relieve workers’ stress, enable staff to work at the top of their licenses, and enhance patient engagement.
Adopting AI the Right Way in Healthcare
Much of the power of AI analysis depends on data integrity, but the industry has already seen that patient-matching errors alone threaten the accuracy of AI outputs. In fact, 57% of healthcare leaders surveyed believe patient-matching errors will reach a crisis level in the next five to 10 years.
AI-Driven Diagnostic Tool Reduces Sepsis Deaths by 20% at Louisiana Hospital
Sepsis is the body’s extreme reaction to an infection that can result in tissue damage and organ failure. Annually in the United States, there are at least 1.7 million adult hospitalizations for sepsis and at least 350,000 deaths from the condition, according to the Centers for Disease Control and Prevention.
The Importance of Between-Visits Appointments and Mental Health
A study by the National Council for Mental Well-Being reveals that mental health services in the U.S. are insufficient despite more than half of Americans (56%) seeking help, with limited options and long waits becoming the norm.
Banner Health Bets Big on AI for Clinicians
Arizona-based Banner Health is giving clinicians in all 33 of its hospitals across six states access to a tool within the EHR that summarizes clinical notes. The technology, developed by Regard, is designed to reduce the clinician’s time spent in front of a computer and facilitate easier access to decision support for care management.