Artificial Intelligence
Healthcare organizations can harness machine learning to schedule vaccines, streamline patient communications and even prioritize access – but the technology is hardly infallible.
The informatics group's new position paper explores ways to enable rigorous but flexible oversight and help FDA and other policymakers ensure "adaptive CDS" is safe and effective.
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.
Its cloud-based natural language processing technology can help health insurers mine unstructured clinical data to track accountable care with HEDIS measures.
CLEW Medical's ICU tool uses machine learning models to identify patients whose conditions are likely to deteriorate.
Collaboration on the Azure platform will help "deliver personalized digital experiences and make more data-informed decisions," says Kaiser's interim CIO.
The company's software uses machine learning to suggest diagnoses based on medical records with the aim of ensuring no condition is overlooked.