CareStory

Evidence from the point of care.

CareStory captures physical and contextual signals where care happens and turns them into structured, governed evidence.

CareStory

CareStory: Evidence from the point of care.

CareStory captures evidence where care happens.

It collects physical and contextual signals — physical, chemical, proximity, audio, and thermal — and turns them into structured evidence.

Evidence capture

CareStory captures

  • Physical signals
  • Chemical signals
  • Proximity signals
  • Audio signals
  • Thermal signals
  • Contextual observations
  • Care activity
  • Documentation events
Human validation

A human-in-the-loop documentation process validates meaning.

This improves billing accuracy, reduces documentation burden, strengthens the legal record, and increases the accuracy of how care is described.

Evidence preservation

CareStory preserves the questions every record should answer.

What happened?

The event, signal, observation, or care activity

Why did it matter?

The purpose and context behind the action

What changed?

The shift from baseline over time

Was it expected?

Whether the change fits the care plan or condition

Was a threshold crossed?

Whether variation became meaningful concern

What should happen next?

The next action, documentation, escalation, or review

How does it support billing?

The evidence needed for accuracy, medical necessity, and reimbursement

Talk with MAETRI

Find the revenue leaking from fragmented evidence.

Evaluate the ROI of point-of-care evidence infrastructure for your facility network.

Customers keep their data
MAETRI does not store PHI
Human-in-the-loop validation
Patent-supported architecture
Google Cloud-native infrastructure