News
AI & ML Intelligence
The University of California at San Francisco's overarching goal was not to replace human judgment but to enhance it – allowing oncologists to focus on personalized treatment rather than spending valuable time retrieving and verifying information.
Almost 20% of healthcare workers polled recently said they spend more than 20 hours per month correcting billing errors. Artificial intelligence can help, but adding automation to billing systems is no easy task.
Its newest report tracking rates of artificial intelligence adoption shows significant maturity in large acute care providers. Key use cases include clinical decision support, documentation automation and workflow efficiency.
Also, the Australian government awarded $4 million in funding to a project building the country's first registry of atrial fibrillation ablations.
A hacker accessed some sensitive data of regional staff in October.
It is part of projects fulfilling the five-year Aged Care Data and Digital Strategy.
After staff and program cuts at the U.S. Department of Veterans Affairs, lawmakers showcased how the loss of funding and employee expertise could affect care delivery for vets, data security for patients and more.
AI & ML Intelligence
The kidney care provider's build-not-buy effort has shown great results: 30-day readmissions are down 36%, hospitalizations among high-risk patients are down 49% and optimal starts are up 67%.
Additional medical facilities in Ohio, Kentucky, Indiana and Alaska will be part of the next round of the federal Electronic Health Record Modernization, according to the U.S. Department of Veterans Affairs.
"On average, only half of patients with chronic disease adhere to their care plans and medications as instructed," says one doctor. "Patients expect on-demand support, and that is not how most health systems operate today."