Cyberhealth Limited · Hong Kong

AI Telehealth
for Elderly Care.

Bringing clinical intelligence to Hong Kong's residential care homes — earlier warnings, smarter decisions, better outcomes.

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Cyberhealth Limited

Cyberhealth Limited

Technology That Puts Residents First

Cyberhealth Limited is a Hong Kong AI telehealth innovator dedicated to improving outcomes in residential care homes for the elderly (RCHE). We believe that better care starts with better information — delivered at the right moment, to the right person.

Our systems are designed entirely within existing Hong Kong regulatory frameworks, including the Personal Data (Privacy) Ordinance (Cap. 486) and the Pharmacy & Poisons Ordinance (Cap. 138). Data stays on-premises. No new hardware required.

HK PDPO CompliantCap. 138 AlignedOn-Premises DataNo New Hardware
What We Do

AI Telehealth — Redefining Care at a Distance

AI Telehealth is the delivery of clinical intelligence remotely — using artificial intelligence to monitor, predict, and coordinate care without requiring a doctor or pharmacist to be physically present at every decision point.

For Hong Kong's 75,000+ elderly residents in RCHEs, this means earlier intervention, fewer unnecessary hospital admissions, and better quality of life — delivered through the care teams already on the ground.

75,000+
RCHE residents in HK
~3,500
Registered pharmacists in HK
90 days
Prediction horizon per score
0 new
Hardware or sensors required

Real-Time Monitoring

Continuous analysis of vital signs and clinical indicators across every resident, surfacing risk before it becomes crisis.

AI-Powered Prediction

Machine learning models trained on tens of thousands of real RCHE records predict hospitalisation risk with 0.93 negative predictive value.

Remote Care Coordination

Pharmacists and physicians receive prioritised alerts and can review, escalate, and document care decisions without being on-site.

Seamless Integration

Works within existing RCHE workflows and HK regulations. No new hardware, no specialist IT, no disruption to daily routines.

Privacy by Design

All data processed on-premises under HK PDPO (Cap. 486). No resident data leaves the care home without explicit consent.

Clinician-Led, AI-Assisted

AI surfaces the signal; clinicians make every decision. Designed to augment — not replace — the skilled professionals caring for residents.

Our Product

Three Steps from Vital Signs to Clinical Action

The AI Early Warning Score runs inside an ordinary spreadsheet — no new sensors, no cloud infrastructure, no specialist IT required.

01

Collect

BP, pulse, temperature, SpO₂, weight — already taken in every RCHE. Plus chronic conditions and current medications. No new data, no new device.

02

Score

A logistic regression model converts the quarterly vital-sign record of each resident into a single probability of hospitalisation in the next 90 days.

03

Act

The score routes attention to the right clinician at the right time. Green for routine care, Amber for pharmacist review, Red for physician escalation — within defined timeframes.

Score-to-Action Workflow — Three Layers, Full Accountability

Score-to-Action workflow diagram

Figure 1: Logistic-regression EWS → caregiver protocol (C1–C12) → pharmacist medication review (P1–P7). Runs inside the existing quarterly review template.

500
Residents in dev. cohort
16
Predictive features per resident
0.93
Negative Predictive Value
~20,000
Quarterly records analysed
Triage Workflow

The Score Routes Attention — Clinicians Make Every Decision

Designed for the existing Hong Kong workforce. The model recommends a route; the pharmacist and physician make every clinical decision.

GREEN
~70%of residents
  • Routine care
  • Next score in 90 days
  • No additional intervention required
AMBER
~20%of residents
  • Pharmacist medication review within 7 days
  • Vital signs re-checked weekly
  • Care plan flagged for review
RED
~10%of residents
  • Physician escalation within 48 hours
  • Immediate care plan review
  • Enhanced monitoring protocol

Designed within HK Personal Data (Privacy) Ordinance (Cap. 486) and Pharmacy & Poisons Ordinance (Cap. 138). Data stays on-premises.

Proven Outcomes

Quantifiable Impact Across Every Care Home

Streamlined operations mean fewer errors, faster administration, and reduced hospital overload from better primary care.

70%
Drug Wastage Reduction
Through digital stock checks and smart prescribing
80%
Decrease in Paper Usage
By automating workflows, enhancing sustainability
50%
Time Saving in Drug Management
Faster admin, fewer errors, reduced manual overhead
25%
Improvement in Resource Allocation
Using predictive AI analytics to deploy staff and resources

Case Study B3-2 — 16-Week Real-World Observation

92-yr-old
Resident profile
4
Pharmacist findings (drug + dose)
3+1
Amber alerts + 1 Red alert
2
Hospital transfers averted
Case B3-2 daily risk-score trajectory

Figure 2: Daily risk-score trajectory across the 16-week monitoring window. Red dots mark hospital transfer episodes. Green/Amber zones show alert thresholds.

Get in Touch

Ready to Bring AI Early Warning to Your Care Home?

Whether you operate a single RCHE or a network of care homes, we would be glad to walk you through how our system fits your existing workflow — at no cost and no obligation.

Email
marketing@se-ngo.com
Location

1/F Room A, Honorfield Garden, 60 King's Road, North Point, Hong Kong

Send Us an Enquiry

All data shared with us is handled in accordance with the Hong Kong Personal Data (Privacy) Ordinance (Cap. 486). We do not share your information with third parties.