Most patients are already wearing the sensor
A watch on the wrist, a phone in the pocket, or a monitor on the shelf. CareSaathi reads from the phone's own health data, from connected devices and wearables, and — when a device connects to nothing at all — from a photo of its display. Nothing here asks your patients to buy new hardware.
Apple Health and Android Health Connect
Both platforms are where a patient's existing apps and wearables already deposit their vitals. Reading from them means a programme can start with zero procurement.
Android Health Connect
Android's system health store. Any app the patient already uses that writes vitals into it becomes a source for their care team — no new device, no pairing, no account to link.
Typical sources: Samsung Health, smartwatch and band companion apps, many glucometer and BP apps
Readings sync in the background and carry the name of the app that wrote them, so a clinician always knows the origin.
Apple Health & Apple Watch
Apple Watch measures heart rate through the day and oxygen saturation in the background. That data lands in Apple Health, and CareSaathi reads it — verified on real hardware, not assumed.
Typical sources: Apple Watch, Omron Connect on iOS, and other apps that publish to Apple Health
Readings carry the device or app that recorded them, so a clinician can tell an Apple Watch measurement from a cuff. Patients who prefer no app at all can still send readings over WhatsApp.
Pick a category to see the devices
Clinical measurements first — the ones a care programme is actually built on.
Clinical measurements
Wellness & activity — context between clinical readings
Models shown are representative of each category rather than the complete integration list — support spans 700+ devices, apps and platforms, manufacturers are added over time, and a few require their own approval before use. We confirm the exact list for your programme during onboarding.
Source-neutral by design
The same pipeline accepts all four, normalizes them, and checks them against the same rules. A programme never fails because a patient owns the wrong brand of cuff.
Connected & automatic
Best for adherenceBluetooth, cellular and cloud-synced devices push readings on their own. The patient measures; nothing else is asked of them. No vendor credentials ever live on the patient’s phone.
Photographed
Works with any deviceThe patient photographs their monitor’s display — in the app or on WhatsApp — and AI reads the numbers into the chart as a preliminary reading, with the image kept for a clinician to confirm.
Entered by hand
Always availableA metric-specific form with the unit fixed by policy, so a value can’t arrive in the wrong scale. Always available, and it works offline.
Measured in clinic
One timelineReadings taken at a visit are recorded by staff in the portal and sit on the same timeline, so a patient’s trend doesn’t break every time they come in.
No hardware vendor holds the programme hostage
Vendor-neutral
The programme is defined by metrics and rules, not by a hardware contract. Devices can be swapped without rewriting a single care plan.
New devices without an app release
Integrations are added centrally. A device that becomes available appears for your patients with no update to install.
Normalized to canonical units
mg/dL or mmol/L, kg or lb — everything is converted to one canonical unit before a rule ever sees it, with the original value kept.
Full provenance on every reading
What measured it, how it arrived, when it was observed and when it reached us — stored separately, so a late upload never rewrites history.
Before you check your inventory
What if the patient’s device isn’t on the list?
It almost certainly still works. Any device with a display can be captured by photo or manual entry, and both are first-class paths — a reading that arrives by photo is stored, charted and rule-checked exactly like one from a Bluetooth cuff. Tell us the model and we’ll confirm whether an automatic integration exists.
Does the patient need a smartphone?
No. Cellular-enabled devices send readings over their own connection with no phone involved, which is often the right answer for elderly patients. Otherwise a phone, a shared bedside device, or WhatsApp all work.
Do you sell the devices?
We don’t. Hospitals buy from whichever distributor they already use, or patients use what they own — which is usually cheaper and always faster than a procurement cycle.
How accurate is reading a value from a photo?
Good enough to be useful, not good enough to be trusted blindly — which is why it isn’t. Photo-derived readings are stored as preliminary and marked suspect until a clinician confirms them against the image, and implausible values are flagged rather than charted.
Can a patient use more than one device?
Yes, and a reading that arrives twice — once from the device and once from a wearable — is de-duplicated so it counts once.