OdeCare
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UC Christus

What Happens Between
Care Touchpoints?

Passive home sensors that detect falls, track activity, and alert your team in real time. No cameras. No wearables. No patient burden.

Discovery Presentation · June 2026

The Problem

Your Team Can't Be in the Home 24/7.
But Falls and Decline Don't Wait.

Home-hospitalization rounds and post-discharge calls cover only a fraction of the week. The rest of the time, patients are alone — and every undetected fall turns into a re-admission, a surgery, and weeks of recovery.

Nurse Round / Visit

2-3 hrs

The Blind Spot

~160 hrs/week with no visibility

Next Touchpoint

2-3 hrs

~950K
older Chileans fall every year
INE Censo 2024 · ENS 2009-10 (37%)
~285K
long-lie events / year — patient on the floor over an hour before help arrives
Long-lie scoping review, 2023 (~30%)
~140K
severe outcomes within 6 months — hospitalization, decline, or death
Wild et al. long-lie cohort (~50%)

140,000 Chilean households a year — a problem OdeCare directly prevents. Passive radar detects every fall in seconds, breaking the long-lie cascade before it becomes an admission.

The Solution

OdeCare in 60 Seconds

Small sensors in the patient's home. They watch for falls, track daily activity, and monitor room conditions — then alert your team.

OdeCare sensor kit — radar, motion sensor, environment sensor, central hub

Sensors Detect

Radar detects falls. Motion sensors learn routines. Environment sensors track room conditions.

Platform Analyzes

Events processed in real time. Rules trigger alerts. Patterns tracked to spot early decline.

Team Responds

Coordinators get instant alerts on dashboard and mobile. Families via the family app.

Nothing for the patient to do. No buttons, nothing to wear, nothing to charge.
Detection Scenarios

What the System Catches

Fall Detection

Radar detects a fall and alerts within seconds, even if the patient can't call for help.

Night Bed Exit

Patient gets out of bed and doesn't return? On-call nurse notified automatically.

Prolonged Inactivity

No movement for too long in any room, including bathroom? Staff gets an alert to check in.

Routine Changes

Learns daily rhythm. If activity drops, flags it early.

Room Conditions

Temperature or humidity out of range? Team alerted before it affects the patient.

Door Activity

Front door opens at unusual hour? Team notified immediately.

Why Passive

Pendants vs. Passive Radar

Pendants require pressing a button. In 80% of falls, patients can't or won't press it. Radar works automatically.

SOS pendant

Pendant

vs
OdeCare sensor kit

OdeCare

Pendant / Wearable OdeCare Radar
Patient actionMust press button ManualNone Passive
Works if unconsciousNoYes
ComplianceLow — removed, forgotten100% — nothing to wear
PrivacyAcceptableNo cameras, no audio
Activity trackingNone24/7 patterns + anomaly detection
Room conditionsNoTemperature, humidity, light
Night monitoringOnly if worn to bedAlways on — bed exit, absence
Data for your teamButton event log onlyFull timeline + trends
Hardware

What Gets Installed

Four small devices per home. Wireless, 30-min install. Field staff can set them up during a regular round.

Fall Detection Radar

Fall Detection Radar

60 GHz mmWave. Detects falls, presence, bed exits. Plugs into outlet.

Motion Sensor

Motion Sensor

Learns routines, flags inactivity. Battery-powered.

Environment Sensor

Environment Sensor

Temperature, humidity, light. Alerts if out of range.

Central Hub

Central Hub

One per home. Connects sensors to cloud via WiFi.

All devices CE-certified. ZigBee 3.0 (2.4 GHz, low power). No interference with WiFi or medical equipment.
Platform

Two Interfaces, One System

Dashboard for your clinical coordinators. Family app for patients' families. Same data, different views.

Care Team Dashboard

  • All patients on one screen with live status
  • Alert history and response time tracking
  • Device health and battery monitoring
  • Configurable rules and alert routing

Family Mobile App

  • Live status — home, resting, or active
  • Push notifications for critical alerts
  • Daily activity summary and trends
  • Room temperature and conditions
Where It Could Fit

Possible Fits Inside UC Christus

Four programs where continuous home sensing could close a real gap.

Hospital en Casa

Home Hospitalization

Patients discharged early under remote care. Continuous monitoring between nurse rounds — falls, deterioration, room conditions.

Reduces in-home risk between visits
Salud Domiciliaria

Home Care Visits

Scheduled nurse and caregiver visits cover a few hours per week. Sensors close the visibility gap during the rest.

Covers ~160 unobserved hrs/week
Adulto Mayor

Geriatric & Aging-in-Place

Outpatient elderly members living alone or with light support. Early signal on fall risk, cognitive decline, and routine changes.

Aging-in-place safety net
Post-Discharge

Readmission Risk Cohort

High-risk patients in the 30 days after discharge. Watch for early decline before it becomes another admission.

Catches deterioration earlier

Questions for you

  • Which of these programs feels like the strongest first fit — or is there one we missed?
  • Where today does the team most often feel blind to what's happening at home?
  • Who on your side owns alerts when something happens between visits?
Getting Started

How a Pilot Would Work

A focused 2-month test with 10-20 patients in the program we agree on. Clear data, validated model, then scale.

1

~30 minutes

Scoping Call

Pick the program and cohort. Select 10-20 patients. Agree on success criteria, alert routing, and primary responders.

2

2 months

Pilot Deployment

Field staff installs sensor kits (~30 min each). Coordinators and nurses get training. Dedicated support throughout.

3

1 week

Evaluation & Rollout Plan

Measure results vs. success criteria. Written report. If justified — plan rollout across the program.

Next Step

Let's Pick the Right Pilot Together

We'll send a follow-up with proposed program, cohort, scope, timeline, and investment based on today's conversation.

OdeCare is a CE-marked safety monitoring system, not a medical device. ~95% fall detection accuracy in internal testing. Works best as an additional safety layer alongside existing care protocols. © 2026 OdeCare

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