Machine Learning

Prior authorization continues to be the area with the lowest adoption rate, with only 21% of medical plans having fully electronic transactions.

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.

Machine learning can help flag troubling patterns and improve systems moving forward, says Dr. Elizabeth Marshall, director of clinical analytics at Linguamatics.

Digital health and data experts illustrate the risk of sharing anonymized fitness data and call for systematic reform.

The company hopes that its more descriptive reports will distinguish the personal ECG offering from others limited to atrial fibrillation detection alone.

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.

The company's software uses machine learning to suggest diagnoses based on medical records with the aim of ensuring no condition is overlooked.

Theft and fraud are becoming major patient safety issues – and experts say the patchwork nationwide approach to COVID-19 vaccine distribution could be making matters worse.

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.