Artificial Intelligence
By 2030, there is projected to be a shortage of 120,000 cardiologists in the U.S. Combined with the decline in hospital beds and rising cost of heart failure, healthcare organizations need to find a way to detect heart failure earlier and at lower cost.
HIMSS24 Europe
Dr Georgi Chaltikyan of Germany's Deggendorf Institute of Technology says he believes teaching healthcare staff how to use AI technologies that automate workflows would help reduce burnout and lead to better patient outcomes.
MITConn Consulting's principal health IT strategist, Dr. Reza Ryan Sadeghian, discusses the GPT apps his team created to help medical students access references and virtual tutoring and to streamline clinical documentation.
HIMSS24 Europe
Bart de Witte, founder of Hippo AI Foundation, discusses challenges of developing open-source healthcare AI models, including the need to build them on quality management systems and the difficulty of accessing clinical data for training.
A group of bipartisan senators is encouraging legislation to support the deployment of AI in healthcare and implementing guardrails to ensure patient safety.
HIMSS24 Europe
Marco Marchetti, head of the HTA operational unit at AGENAS, says the country is introducing artificial intelligence to assist physicians in analyzing large volumes of clinical data from digital applications and medical devices.
Adayu Mindfulness will provide AI-powered self-assessment tools and 24/7 access to a virtual assistant.
Researchers compare machine learning models to traditional alerts for critically ill adults, while a new real-world GLP-1 data trove incorporates unstructured data. Also, RapidAI earns another FDA clearance for rapid stroke imaging.
Kathleen McGrow, the tech giant’s chief nursing information officer, highlights the HIMSS innovation nursing advisory group, a framework on AI literacy for nurses, and education around AI innovation and leveraging the technology.
New LEAP in Health IT money from ONC is meant to find and fund innovative new approaches to evaluating EHR data quality for machine learning models and driving IT adoption by behavioral health providers.