
Evernorth Bets $100 Million on AI Pharmacy
Specialty drug costs are eating health insurance budgets alive, forcing payers to automate the back office just to survive the margin squeeze.
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Specialty drug costs are eating health insurance budgets alive, forcing payers to automate the back office just to survive the margin squeeze.

A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.

Biotech companies are finding a second life for failed drug data, but recycling bad trials into predictive algorithms carries hidden risks.

A new AI model reconstructs missing neonatal heart signals using light-based sensors, bypassing the need for irritating skin adhesives in intensive care.

Federal health agencies are rapidly adopting artificial intelligence, but their rush to deploy these tools is outpacing their willingness to govern them.

Doubling scanning capacity is useless if there are no radiologists left to read the scans.

Automating lupus tracking with open-source language models could finally bring standardized disease monitoring to busy clinics.

Electronic health records are failing vulnerable patients because standard billing codes ignore the messy reality of clinical notes.

A new clinical benchmark reveals that large language models fail frontline health workers unless their queries are translated into English first.

A new pilot shows that automating clinical notes saves little time but dramatically lowers cognitive fatigue.