Red Hat's Healthcare Market Leader Atif Chaughtai discusses how to find signals in data in a clinical setting to diagnose patients earlier than a typical diagnosis takes.
The chief digital and information officer describes the health system's new Alexa Skill for home care patients as well as larger emerging trends around AI and remote patient monitoring.
VisiQuate CEO Brian Robertson describes how new machine learning tools are helping surface relevant information where and when it's needed, and discusses broader trends in AI and automation in healthcare.
Supply chain visibility and inventory control tools can help safeguard opioids, controlled substances, expensive oncology therapeutics and vaccines, which are at risk of being stolen and sold on the black market, says Tom Knight, CEO of Invistics.
Piece Technologies CEO Dr. Ruben Amarasingham and OSF Ventures' Dr. Garrett Vygantas discuss how AI can make physicians' lives easier.
COVID-19 has heightened public interest in vaccine and therapeutic research, and it's time to build on that engagement, finding new ways to enroll volunteers in other clinical trials, says CCT President CJ Anderson.
Machine learning can help flag troubling patterns and improve systems moving forward, says Dr. Elizabeth Marshall, director of clinical analytics at Linguamatics.
Practical machine learning applications can help improve safety and efficiency – automating medication history in hospital EHRs and aggregating patient records in consumer apps, says DrFirst President Cameron Deemer.
Health Catalyst Chief Data Scientist Jason Jones says augmented intelligence, not artificial intelligence, is especially important when building predictive models that improve, not drive, health disparities.
This week's top stories include CMS adding more than 60 telehealth services but the American Telemedicine Association expressing concerns about remote patient monitoring, and DeepMind AI's protein folding prediction achieving unprecedented accuracy.