Remote Patient Monitoring

The vitals that matter, without the chasing

Prescribe what to monitor and when to worry. Collect readings automatically from 700+ connected devices — and act on trends and alerts from one command center, on whichever surface your patient actually uses.

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BP 128/82Synced automatically
700+ devices & appsAutomatic data collectionVendor-neutral
Platform capabilities

Monitoring built into the care plan

Not a device dashboard bolted on the side — one normalization layer, one rule engine, one operational view.

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One Data Standard

A single normalization layer for blood pressure, glucose, CGM, weight, SpO₂, temperature and heart rate — every source, from a phone camera to a wearable, lands in one canonical form with full provenance.

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Real-Time Alerts

Configurable, de-duplicated alerts on threshold breaches, abnormal patterns, missed readings and inactive devices — delivered by in-app, email, SMS and WhatsApp.

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Fits Your Workflow

Monitoring lives inside the care plan and the same command center your team already uses — not a separate device dashboard bolted on the side.

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Enterprise & Vendor-Neutral

Scales from a pilot to an enterprise-wide program on provider-neutral rails, so no single hardware vendor can hold the program hostage.

Phone & Watch Health Data

Reads the vitals already on the patient’s phone — Apple Health on iPhone (including Apple Watch heart rate and SpO₂) and Health Connect on Android — with the source app named on every reading.

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Consent & Audit Built In

Versioned, withdrawable patient consent in English, Hindi and Gujarati, and an append-only audit trail for every plan change, device assignment and alert decision.

Connected device ecosystem

Works with the devices patients already have

From clinic-issued monitors to the wearable on their wrist — readings sync automatically.

Any device

Built on a catalogue of 700+ wearables, medical devices, apps and health platforms. Connected sources sync on their own; anything else is captured by photo or entered by hand — so a programme never waits on procurement.

📶 Bluetooth📡 Cellular / 4G hubs☁️ App & cloud sync
🩸Blood pressureCuff & wrist monitors
💉Blood glucoseFingerstick meters
📉Continuous glucoseCGM sensors
🫁Pulse oximetersSpO₂
⚖️Weight & bodySmart scales
🌡️ThermometersCore & skin temp
❤️Heart rate & ECGChest & wrist
SmartwatchesWearables
🏃Activity & fitnessSteps, calories
🛌Sleep trackersRings & bands
See all integrations →
How it works

From prescription to action, end to end

1

Prescribe

Pick a program profile or custom metrics, set the schedule, target range and alert thresholds, then publish from the care plan.

2

Sync

The plan reaches the patient in seconds — on their device as a simple “Today’s monitoring” card, or on WhatsApp if that’s all they use. Never a confusing device list.

3

Collect

One-tap manual entry, an AI-read photo of the device display (from the app or WhatsApp), the phone’s own health data, or automatically from a connected device. Readings save on the device first, so nothing is lost when the signal drops.

4

Deliver

Readings upload in idempotent batches (no duplicates), normalized to canonical units and tagged with full provenance.

5

Evaluate

Every reading is checked against the doctor’s rules — thresholds, consecutive-abnormal patterns, missed readings and clock skew.

6

Act

Latest values, trends and adherence surface in one Monitoring view, with a prioritized, de-duplicated list of who needs attention.

Four ways a reading arrives

Source-neutral by design

The same reading pipeline accepts them all — normalized, de-duplicated, and provenance-tagged.

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Connected devices

Bluetooth and cellular BP monitors, scales, oximeters, glucometers and CGMs push readings automatically once linked.

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Photo-to-reading AI

The patient photographs their monitor’s display — in the app or on WhatsApp — and AI reads the numbers, filing them as preliminary for the care team to confirm.

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Manual entry

A metric-specific form for any home device, with the unit fixed by policy. Always available, works offline.

Apps & wearables

Consumer wearables and health apps sync activity, heart rate, sleep and more — de-duplicated so a reading that arrives two ways counts once.

Real-world applications

One platform, many programs

Prescribe a ready-made program or build your own from any combination of metrics and rules.

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Chronic Disease Management

Keep hypertension, diabetes and heart-failure patients in range between visits — a climbing BP or a rising weight shows up as a trend and an alert, not a readmission.

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Post-Op & Post-Acute Care

Follow patients through the fragile window after discharge or surgery, catching deterioration early while they recover at home.

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Preventive & Wellness

Track the vitals that flag risk before a chronic condition takes hold, and keep engaged patients on track with gentle, guided check-ins.

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Elder & Independent Living

Give older patients independence with a safety net — simple, spoken guidance on the bedside device and a caregiver loop when something drifts.

Clinical safety and rules
Built-in clinical safety

Rules that reflect real clinical judgment

  • Targets are separate from alert thresholds — a normal range vs. the line at which someone must be told
  • Component rules (systolic and diastolic) and persistence rules (N consecutive abnormal readings)
  • Observed time and received time stored separately — a delayed upload never rewrites when it happened
  • Suspect readings (implausible, blurry photo, clock skew) are stored and auditable but don’t fire rules until reviewed
  • Alerts are de-duplicated — no alarm fatigue from the same issue firing repeatedly

CareSaathi AI is a monitoring and care-coordination companion — not an emergency service.

Why it matters

What continuous monitoring changes

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Catch problems earlier

Trends and alerts surface a worrying pattern days before it becomes an emergency or a readmission.

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Effortless for patients

One tap, a photo, or nothing at all when a device auto-sends. Built for elderly and unwell patients, not power users.

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Real adherence, not guesses

The system knows which expected readings were taken, late, or missed — instead of relying on recall at follow-up.

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Less time chasing numbers

No phone tag for a blood-pressure reading — data flows back on its own and the team acts on exceptions, not everyone.

Illustrative of what well-run RPM programs can achieve. Clinical outcomes vary by program, population and care model.

Enterprise scale
Enterprise scalability

From a single ward to a whole network

Because CareSaathi owns the plans, rules and data, the program grows without re-platforming.

  • Start with one pilot program and expand to enterprise-wide monitoring on the same rails
  • Multi-facility and multi-tenant — each site keeps its own branding, contacts and policies
  • New devices appear in the catalog without an app release
  • One platform for reminders, communication and monitoring — not three vendors to stitch together

Bring monitoring into the care plan

See how CareSaathi AI collects vitals automatically, evaluates them against your rules, and surfaces exactly who needs attention.