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.
Can AI Be Used to Triage ED Patients?
The study, which appears this week in JAMA, could give health systems a valuable tool for triaging ED patients, particularly during times of heavy traffic or staff shortages. By assessing severity more quickly, the hospital could direct ED staff to those patients in need of emergency care and speed up time to treatment, eventually improving clinical outcomes.
Researchers Use AI to Identify Healthcare-Based Outbreaks
A four-year study in 82 hospitals across the US, recently posted in The New England Journal of Medicine, found that the automated tool reduced potential outbreaks by 64% compared to traditional methods of identifying an outbreak. The tool identified potential outbreaks, on average, three times per year per hospital.
Looking Ahead Post-ViVE: AI, Security Concerns, and Industry Transactions
Artificial intelligence, cybersecurity, and significant partnerships shaping the future of healthcare were among the key takeaways from four days at ViVE 2024. Here are the other highlights of the best moments from the annual healthtech industry gathering and a look ahead.
PSQH Quick Poll 2024: Taking the Pulse of Patient Safety
As part of PSQH’s celebration of Patient Safety Awareness Week, we decided to reach out to our readers with a few questions to find out the state of patient safety efforts in 2024. This PSQH Quick Poll is presented in partnership with Origami Risk, Avtec, and IAC. The survey had a total of 285 respondents.