KEIS medical intelligence layer

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.

View operational read How KEIS works

Florence care unit overview on clinical workstation

Resident overview at the care deskCurrent state, risk trajectory, and care priorities in one clinical view.

High risk signal

What KEIS is

KEIS © is an operational intelligence engine developed by WiCis. In Florence, KEIS is not presented as only an evironment system. It is the shared architecture underneath the medical product: a memory-based engine that compares today’s patient state with prior patterns, prior interventions, and prior outcomes.

How the engine thinks

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 82Heart failure · hypertension · 18 days in care · last update 9:42 AM

Elevated risk

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.

Confidence

72%

based on similar episodes

The medical translation of KEIS

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.

What Florence should communicate

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.