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, all on the same calm bedside device your patients already use.
Monitoring built into the care plan
Not a device dashboard bolted on the side — one normalization layer, one rule engine, one operational view.
700+ Device Integrations
One normalization layer for blood pressure, glucose, CGM, weight, SpO₂, temperature and heart rate — from 700+ devices, apps and wearables into a single, canonical data standard.
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.
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.
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.
Works with the devices patients already have
From clinic-issued monitors to the wearable on their wrist — readings sync automatically.
Support for 700+ wearables, medical devices, apps and connected health platforms — readings sync automatically, no typing required.
From prescription to action, end to end
Prescribe
Pick a program profile or custom metrics, set the schedule, target range and alert thresholds, then publish from the care plan.
Sync
The plan lands on the patient’s device in seconds — they see a simple “Today’s monitoring” card, never a confusing device list.
Collect
Readings arrive automatically from a connected device — or by one-tap manual entry or an AI-read photo of the display.
Deliver
Readings upload in idempotent batches (no duplicates), normalized to canonical units and tagged with full provenance.
Evaluate
Every reading is checked against the doctor’s rules — thresholds, consecutive-abnormal patterns, missed readings and clock skew.
Act
Latest values, trends and adherence surface in one Monitoring view, with a prioritized, de-duplicated list of who needs attention.
Source-neutral by design
The same reading pipeline accepts them all — normalized, de-duplicated, and provenance-tagged.
Manual entry
A metric-specific form for any home device, with the unit fixed by policy. Always available, works offline.
Photo-to-reading AI
The patient photographs their monitor’s display; AI reads the numbers and files them as preliminary for the care team to confirm.
Connected devices
Bluetooth and cellular BP monitors, scales, oximeters, glucometers and CGMs push readings automatically once linked.
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.
One platform, many programs
Prescribe a ready-made program or build your own from any combination of metrics and rules.
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.
Post-Op & Post-Acute Care
Follow patients through the fragile window after discharge or surgery, catching deterioration early while they recover at home.
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.
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.
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.
What continuous monitoring changes
Catch problems earlier
Trends and alerts surface a worrying pattern days before it becomes an emergency or a readmission.
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.
Real adherence, not guesses
The system knows which expected readings were taken, late, or missed — instead of relying on recall at follow-up.
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.
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