Toward continuous quality observability in medicine
Hospitals often detect complications retrospectively via error-susceptible mechanisms including self-reporting, manual abstraction, or billing codes. We propose a paradigm of continuous clinical quality observability: a background, non-interruptive layer where AI agents continuously read the EHR narrative to surface em...