Every patient. Always in view.

A lot can happen between two routine checks.

Four hours is a long time to be guessing.

A scheduled observation records one moment. Everything after it is inference until somebody walks back into the room.

CareLink watches the space between.

Those four hours stop being a blank and start being a line you can read.

08:00

Observation recorded

The S5 stays with the patient.

A wearable that keeps observing after the round has moved on to the next bed.

What it reads.

  • Heart rateBeat to beat, continuously
  • SpO₂Peripheral oxygen saturation
  • RespirationRate and regularity
  • MovementPosture, activity, rest

Which measurements you get depends on the device configured and how wide the deployment goes.

Readings arrive when they happen.

A change at 09:40 is on the ward screen at 09:40, not at the next scheduled round.

Patient data stays inside the hospital.

The hospital sets its own rules for where data moves, who reads it, how long it is kept, and what it connects to.

The whole path, inside the building.

  1. 01CareLink deviceSupported patient signals leave the wearable
  2. 02Hospital networkCarried over the hospital's own controlled transport
  3. 03Local A7A nodeProcessed and stored on site, not in an external cloud
  4. 04CareLink dashboardSurfaced to whoever holds the right role

Local deployment, role-based access, encrypted transport, audit and event logs, and an architecture built to integrate. We publish certifications and regulatory claims once they actually apply to us.

Designed around ward workflow.

  • Local infrastructurePatient data can remain inside the hospital’s environment.
  • Centralized viewMonitor multiple patients from one dashboard.
  • Ward workflowShaped around how a round actually runs, not a fitness routine.
  • Room to growExpand from a pilot ward to larger deployments deliberately.

Monitor the whole ward.

Every patient’s status and trend on one screen.

Put the right room first.

You set the thresholds. The ward list reorders itself around them.

Walk in already knowing.

Values, trend, and recent events are on screen before the nurse gets to the bed.

Illustrative interface. Values are examples, not readings from a live patient.

The whole ward

Every bed and where it stands right now, on one screen.

Attention first

Rooms outside their configured range move to the top of the list.

One patient

Current values and the trend behind them, without leaving the ward.

What happened

A timestamped trail from the change to the response.

The whole ward

Every bed and where it stands right now, on one screen.

Ward A18 beds
  • Room 2017898%Stable
  • Room 20211291%Attention
  • Room 2037297%Stable
  • Room 2048196%Stable
  • Room 2056998%Stable
  • Room 2067597%Stable

Attention first

Rooms outside their configured range move to the top of the list.

Ward A1 to review
  • Room 202112 ↑91% ↓Review
  • Room 2149695%Watching
  • Room 2037297%Stable

One patient

Current values and the trend behind them, without leaving the ward.

Room 202Updated 14:31
Heart rate
112 bpm ↑
SpO₂
91 % ↓
Respiration
24 rpm ↑

What happened

A timestamped trail from the change to the response.

Room 202Today
  1. Threshold crossedHeart rate above 105 for 4 minutes
  2. Alert raisedRoom 202 moved to the top of the ward list
  3. AcknowledgedSeen by the nurse on shift
  4. Returned to rangeHeart rate 94, still being watched

Built with hospitals, not just for them.

200+ interviews across 20+ clinics in Kazakhstan, Central Asia, and the United States.

That is the discovery work so far. Partner logos go up only once they have said yes.

Who we actually sat with.

  • Bedside teams

  • Department leaders

  • Operations and IT

Start with one ward.

A narrow pilot makes the technical, clinical, and operational questions concrete before anyone commits to scale.

Five steps.

  1. 01

    Choose a department

  2. 02

    Connect the ward

  3. 03

    Train the team

  4. 04

    Evaluate the pilot

  5. 05

    Scale deliberately

The workload you already run.

A ward of beds, checked every , at minutes each comes to 30.0 staff hours a day.

A scheduled-workload baseline from the values entered. It does not estimate staff reductions, time saved, clinical outcomes, or work eliminated by CareLink.

The practical ones, answered plainly.

What measurements does CareLink monitor?

CareLink organizes supported measurements from compatible wearable hardware alongside movement and event context. The exact set depends on the configured device and deployment scope.

Does CareLink replace bedside monitors?

No. CareLink is a supplemental monitoring and workflow system. It does not replace required bedside equipment, clinical judgment, or a hospital’s existing escalation protocols.

Where is patient data stored?

CareLink supports a local-infrastructure approach so patient information can remain within the hospital environment. Storage, retention, and access are defined with each hospital before deployment.

Can CareLink integrate with existing hospital systems?

The architecture is being designed for integration. Available interfaces and the scope of any integration are assessed with the hospital’s clinical and IT teams during discovery.

How long does deployment take?

Timing depends on ward scope, infrastructure, approvals, training, and integration needs. CareLink starts with a defined pilot plan rather than one generic timeline for every hospital.

What departments can use CareLink?

Departments are evaluated on patient population, monitoring workflow, existing equipment, and clinical requirements. Suitability is confirmed during pilot discovery.

How can we start a pilot?

Begin with a working session involving clinical, operational, and IT stakeholders. Together we define one department, the intended workflow, success measures, and the evidence required to consider scaling.

See the whole ward.
Not just the next check.

Book a pilotTalk to our clinical team