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Artificial Intelligence

HIMSS24 Europe
By HIMSS TV | 08:00 am | May 15, 2024
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.
By Adam Ang | 09:32 pm | May 14, 2024
Adayu Mindfulness will provide AI-powered self-assessment tools and 24/7 access to a virtual assistant.
By Andrea Fox | 12:52 pm | May 14, 2024
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.
By HIMSS TV | 07:00 am | May 14, 2024
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.
By Mike Miliard | 12:01 pm | May 13, 2024
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.
Nursing and IT
By Andrea Fox | 12:09 pm | May 10, 2024
For nurse practitioners and physician assistants in states with restrictive practice rules, it matches them with other clinicians, automates licensing compliance and provides EHR-agnostic chart sharing and a HIPAA-compliant chat.
By Andrea Fox | 11:21 am | May 09, 2024
Project Heal will track health misinformation trends and generate adaptable counter-messaging for public health agencies to use in their efforts to address false claims.
Success Stories & ROI
By Bill Siwicki | 01:43 pm | May 08, 2024
The group practice's SVP of digital health reveals how she and her team have created new care models, integrated artificial intelligence-enabled clinical decision support and used other emerging technologies to power better care journeys.
By Mike Miliard | 11:41 am | May 08, 2024
Trained using more than 100,000 echocardiograms from atrial fibrillation cases, the algorithm has shown its ability to predict which patients could develop irregular heart rhythms within 90 days.
By Andrea Fox | 11:19 am | May 08, 2024
Also: OM1 now offers a platform that translates population patterns for clinical decision-making at the provider level.