Hippocratic AI

Failure to titrate medications to guideline-recommended target doses is widespread across sixteen chronic conditions and carries substantial clinical and economic costs. <p>The post Therapeutic Inertia in Pharmacologic Dose Optimization: Prevalence, Clinical Consequences, and Economic Burden Across Sixteen Chronic Conditions first appeared on Hippocratic AI .</p>

Nearly one in three older adults who reported no falls in the past year still showed two or more functional fall-risk indicators when screened by an AI care agent. <p>The post Population-Scale Functional Fall-Risk Indicator Assessment in Medicare Annual Wellness Visits Using Conversational AI first appeared on Hippocratic AI .</p>

An academic-industry partnership delivering 11 short AI courses to 478 nursing students and faculty produced measurable knowledge gains alongside satisfaction scores averaging 4.58 out of 5.

Each memory the AI care agent carried over from a previous call was associated with roughly 2.5 more minutes of conversation with older adults in chronic care management.

Nearly half of the older adults who described their own health as good or better showed two or more mobility or daily-living impairments when assessed by an AI care agent. <p>The post Hidden Functional Decline: How Conversational Voice AI Detects Early Mobility and ADL Impairment in Older Adults with High Self-Rated Health first appeared on Hippocratic AI .</p>

Spanish-speaking patients called by a multilingual AI care agent opted in to colorectal cancer screening at 2.6 times the rate of English-speaking patients.

When 6,234 licensed clinicians reviewed more than 307,000 real patient calls, the rate of clinically correct guidance rose from about 80% before Polaris to 99.38% under Polaris 3.0.

AI can extend nursing capacity across decision support, monitoring, and documentation, but only where nurses help shape design and implementation.

Quarterly Report filed 2026-07-30

Material Event filed 2026-07-30