Operational Intelligence for Patient Care.
Florence uses KEIS to remember the patient as a living clinical environment: vitals, activity, sleep, medications, surroundings, care actions, and outcomes. The result is a clear daily read for the care team: what has changed, why it matters, and what should be watched next.
KEIS is a memory-based operational intelligence engine that preserves raw data, source truth, and real-time signals, then adds context, history, outcomes, and domain reasoning so people can make better decisions in complex environments.
Medicine does not lack data. It lacks systems that remember what happened, understand the circumstances in which it happened, and use the outcome to improve the next decision. KEIS provides that continuity.
From signals to care priorities
The interface stays simple. The intelligence layer underneath remains recursive: observe, remember, compare, prioritize, and learn from every care episode.
Sense
Continuously collects vitals, symptoms, activity, sleep, medication events, and environmental context.
Remember
Builds patient-specific memory from trends, episodes, care actions, and recovery or deterioration patterns.
Compare
Finds similar past situations for this patient and across relevant cohorts when clinically appropriate.
Prioritize
Separates noise from operationally important change, showing what requires attention now.
Learn
Care-team actions and outcomes flow back into memory, improving the next operational read.
Eleanor Price · Age 82
Heart failure · hypertension · 18 days in care · last update 9:42 AM
Operational read
Moderate risk of fluid-retention worsening over the next 48 hours.
Why
Weight increase, reduced activity, higher nocturnal heart rate, and lower recovery pattern resemble three prior deterioration episodes.
What to watch
Shortness of breath, swelling, fatigue, reduced walking tolerance, and overnight oxygen saturation drift.
Suggested actions
Review diuretic plan, increase observation frequency, encourage mild supervised activity if clinically appropriate, and document response.
The Patient is the Environment.
In the original KEIS architecture, the system interprets current conditions through environmental memory, operational memory, archive intelligence, and curator input. In Florence, those same concepts become patient-centered.
Current conditions are the patient’s live vitals and observations. Environmental context becomes room, sleep, mobility, meals, hydration, weather, social factors, and care setting. Operational memory becomes what happened after prior interventions.
- Not a generic dashboard, but a memory-aware clinical intelligence layer.
- Not an alarm system, but a prioritization system for care teams.
- Not prediction alone, but explanation linked to prior patient episodes.
- Not black-box AI, but clinical judgment supported by traceable memory.
- Every observation and outcome improves the next read.