Bill Siwicki

Large language models can provide a big boost here for providers, says the CEO of Medicomp. But algorithms should be trained on hierarchical condition categories for risk adjustment – and challenges with data quality and bias need addressing.

The health system's medical director will offer more perspective on how remote patient monitoring is helping, including enabling an adherence rate of 80% to daily vitals, at HIMSS24.

And this year there will be a focus on continuing access to medications for mental health because mental health is a critical part of overall health, predicts a psychiatrist who practices telehealth.

And the tool deployed at Arizona-based SimonMed, which complements the work of subspecialty-trained radiologists, has a 96.9% to 100% sensitivity range per bone, research shows.

Automation is helping staff save time and reducing the potential for keyboard errors, its CIDO says. Artificial intelligence is also enhancing medication history data for 81% of all available home medications so patient records contain fewer gaps.

At HIMSS24, a clinician will show how the community provider’s more enlightened, person-centered approach for its Native American and POC patients has helped reduce the number of custody holds for drug and alcohol emergencies by more than 90%.

The models developed by Stanford Medicine Children’s Health have been so effective that Epic has incorporated a similar guardrail into its own system, extending the impact of Stanford's work to teens worldwide.

The nursing-oriented remote patient monitoring approach also prevents more than 500 falls each month at the Minnesota health system. And it's improved staffing ratios – sometimes dramatically, depending on patient acuity.

It's also helped decrease the amount of time spent documenting care by about two hours per provider each day, the health system's medical director reports.

Lisa Jarrett, an artificial intelligence expert at PointClickCare, previews her HIMSS24 session that will dive into AI topics including transparency, fairness, explainability and transparency.