Putting the ‘Where’ in Patient Care
Nearly a quarter of hospital admissions resulted in at least one adverse event in 2018 and 23% of those events were deemed to be preventable. Between 2023 and 2024, hospitals experienced a double-digit increase in non-labor expenses, according to Strata. As a result, 40% of American hospitals had been losing money from operations during that time, KaufmanHall found.
NewYork-Presbyterian Developing Innovative AI Tool
One of the advantages of NewYork-Presbyterian is that it is affiliated with two medical schools, Columbia University Vagelos College of Physicians and Surgeons as well as Weill Cornell Medicine, says Ashley Beecy, MD, medical director of AI operations at NewYork-Presbyterian.
Why Your AI Should Be Talking to Patients You Don’t See
WellSpan Health launched an AI platform roughly one month ago that calls selected at-risk patients to schedule colorectal cancer screenings. The AI agent, called Ana and developed by digital health startup Hippocratic AI, asks patients if they would agree to take the test and, if they agree, arranges to mail a testing kit to their homes.
Bad Medicine: Healthcare Struggles With Poor Technology
The study, the third in Black Book’s “What’s Hot and What’s Not in Healthcare IT Investments” series, finds that bad IT investments have jumped significantly since 2017, when those costs were estimated at $1.7 billion, and budget limitations are keeping healthcare leaders from correcting those problems.
As AI Use Cases Grow in Healthcare, Executives Scramble to Grab the Reins
At the recent HIMSS AI in Healthcare Forum in Boston, issues of compliance and liability were front and center for health system executives looking to chart a clear and effective AI strategy. Sunil Dadlani, chief information and digital officer for the Atlantic Health System, said AI regulation must be handled carefully, so that it doesn’t curb innovation.
Mount Sinai to Use AI to Detect Mental Health Concerns
The $20 million project, funded by a grant from the National Institute of Mental Health (NIMH), will include researchers from Harvard, Johns Hopkins, Columbia and Carnegie Mellon Universities and use ambient tools developed by Deliberate AI.
Predictive AI Helps Providers Plan Patient Care
At West Tennessee Healthcare, executives say they’ve saved more than $5 million over the past year by using an AI platform from Xsolis to review patient data, enabling them to predict when a patient will be discharged and communicate with payers on authorizations and any denials.
Are Healthcare Leaders Getting Their AI Priorities Straight?
Schwamm says the healthcare industry has become “accustomed” and “complacent” in healthcare IT, and Ai is presenting healthcare leaders with issues they haven’t encountered before. The AI evolution, he pointed out, is similar to the development of the software-as-a-service (SaaS) model, but health systems and hospitals haven’t developed the governance to regulate these tools before they’re used.
The Future of AI In Healthcare Is Not a Zero-Sum Game
The idea of “an AI arms race” between payers and providers toward a more efficient future is troubling in its own right. It adds to the perception of the future of artificial intelligence in healthcare as a zero-sum game, with health insurance companies on one side and clinicians on the other.
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.