Artificial Intelligence
Among the top global policy issues at HIMSS24: AI regulation, patient access and equity. Tom Leary, SVP and head of government relations at HIMSS, explains how the organization advocates for health policies that support those goals.
"What data do you have? Where is it located? How do you get to it? And is the data fit for purpose? Data doesn't need to be perfect to be useful. But you don't ever want to use data that's not perfect and not know it."
In an update on several looming regulatory deadlines, the HIMSS Electronic Health Records Association said it asked ONC for enforcement discretion on a December 1 deadline.
Nurse informaticists should have a voice in selecting new technologies such as AI to ensure they address bias and capture accurate data, says Mary Joy Garcia-Dia, program director of nursing informatics at NewYork-Presbyterian.
Artificial intelligence can enhance virtual nursing, quality and outcomes, and healthcare transformation, says Dr. Stephanie Lahr, president of Artisight, a healthcare AI technology company. She shows how.
Cherish Health's camera-free remote monitoring technology keeps seniors safe while preserving their privacy and independence, says the company's CEO Sumit Nagpal, who explains how it works.
AI & ML Intelligence
The health system's chief analytics officer discusses creating a rigorous data quality program for reliable and actionable insights, and the importance of developing an innovation ecosystem.
Nursing and IT
Trained on vast datasets, machine learning applications can spot trends and predict patient outcomes. A researcher details how these new approaches are giving nurses the evidence they need to make more informed decisions and deliver higher-quality care.
The tools can help integrate artificial intelligence into existing applications that can be run from the cloud or on-prem – focused on genomics, imaging, drug discovery and other digital health priorities.