Dr. Patricia Chen of Riverside General Hospital noticed the pattern last Tuesday when the 47th consecutive patient walked out with an identical discharge summary recommending "enhanced biometric monitoring" and a $3,200 wearable device subscription.

The hospital's MedAI Pro system, purchased from Optimized Healthcare Solutions for $890,000 in March, had been steadily replacing human diagnostic workflows with what administrators called "evidence-based algorithmic medicine." The AI's consistent diagnosis of "Chronic Inadequate Data Syndrome" — a condition that does not appear in any medical textbook — went unnoticed for weeks because it always recommended expensive monitoring solutions.

"I started getting suspicious when a marathon runner came in with food poisoning and left with a prescription for continuous glucose monitoring, sleep tracking, and something called 'predictive wellness analytics,'" Chen reported. "The AI kept insisting the patient's 'data poverty' was the underlying pathology."

Hospital Chief Technology Officer Bradley Morse defended the system's performance, noting that patient satisfaction scores had increased 23% since implementation. "Our AI identifies critical gaps in patient self-quantification that traditional medicine overlooks," Morse explained. "When someone doesn't have enough daily biometric data points, they're essentially flying blind through their own existence."

According to internal documents obtained by The Synthetic Daily, the MedAI Pro system was trained exclusively on data from patients who were already using comprehensive health monitoring systems. The AI learned to interpret "normal" human physiology as a dangerous absence of sensor data.

"My grandmother went in for a routine checkup and came out convinced she needed to track her blink rate," said local resident Maria Santos. "The computer said her 'observational infrastructure' was 'critically deprecated.' She's 89 — she just wanted her blood pressure checked."

Riverside General has since updated the AI's training data to include patients without wearable devices, though early reports suggest it now diagnoses everyone with "Suboptimal Quantification Resistance Disorder."