Features

Signal-Based Wellbeing Recognition

AI-powered call interpretation with structured care insights

HelloDear! converts natural, friendly phone conversations into structured wellbeing signals. The system tracks changes in sleep, mood, activity, adherence, and conversation patterns. Care teams receive SBAR-style notes and priority insights; families get gentle weekly digests — all without apps or devices.

Problems We Solve

Typical operational challenges this feature addresses

Care teams lose time on manual documentation and note-taking

Families lack clear insights into daily wellbeing changes

Signals like sleep variability or adherence are easy to miss without consistent check-ins

Key Capabilities

Everything this feature can do for you

Natural conversation analysis

Transforms warm phone conversations into structured signals about sleep regularity, mood, activity, and adherence.

SBAR-style summaries

Generates concise, professional notes aligned with SBAR to support care coordination without extra admin.

Care-model alignment (SIS)

Automatically links relevant signals to SIS elements and care-plan structures used by professional care teams.

Signal monitoring

Tracks trends such as sleep shifts, conversation pace, missed-call patterns, hesitation, or routine changes — always non-clinical, always human-in-the-loop.

Priority overview

Creates clear priority flags based on multi-day trends to help teams notice subtle changes early.

Use Cases

Real-world scenarios where this feature shines

1

Turn weekly phone calls into structured wellbeing signals

2

Generate SBAR-style notes automatically for care teams

3

Provide families with trend-focused weekly digests

4

Support care plans with SIS-aligned insights

5

Spot multi-day changes in mood, sleep, or routine