The patient-experience data layer

Filling the lived experience gap.

Signal turns thousands of real patient and caregiver conversations into structured evidence you can act on. The discipline of Precision Empathy™, at scale.

Biology explains whether a therapy can work. Lived experience determines whether it will.

Consented·De-identified·Structured for analysis

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Tap a question and watch Signal answer from thousands of real conversations.

Illustrative demo · not live patient data
Presented atASCO 2025 · Abstract 545172 CategoryDefining the Precision Empathy™ category
What teams do with Signal

Put lived experience to work.

One reusable evidence layer, answering the questions your teams already own.

01

Reduce trial attrition

Know why participants disengage before they withdraw.

02

Improve adherence

See the doubts that erode adherence before refills do.

03

Support caregivers

Catch caregiver strain as it builds, not after a crisis.

04

Protect quality of life

Measure quality of life as patients define it.

See it

The patient experience, mapped.

Signal structures each journey into a lived-experience atlas, then lets you ask it anything in plain language.

signal.emberhealth.ai Ember Signal INVESTIGATE · PRODUCE · EXPLORE Ask Ember Insight Studio Lived Experience Atlas ACTIVE DATASET 4,028Care journeys 48,977Messages 50+Countries HIPAA Safe HarborLongitudinal · De-identified Lived Experience Atlas 183 dimensions of the care journey, mapped. 7The Journey(Time) 9ConversationOutcomes 4The People 9SupportNetwork 3ClinicalQuestions Ember LivedExperience Atlas 10InformationNeeds 10DecisionMaking 10EmotionalState 11CaregiverExperience 12Daily Living Ask Ember Live conversational access Live Journey Signal How do families decide whether a therapy is worth trying? Across thousands of conversations, families first hope for longer survival, then shift to quality of life: less pain, lower steroids, more energy. And what makes families hesitate on clinical trials? The biggest fear is losing time or giving up standard care. The most confident families ask the goal, the added visits, and if they can return. Grounded in patterns across 4,028 de-identified journeys. Ask a question…
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Where it fits

A new layer, not a replacement.

The healthcare data stack is missing lived experience. Signal captures it, structures it, and turns it into decision intelligence, alongside the molecular, clinical, and claims data you already have.

Where the data comes from

Consented conversations, captured through Ember Companion. A patient data layer that was useful to patients first.

Molecular datathe tumor
Clinical datathe treatment
Claims datathe utilization
Ember Signal Newthe experience
Why this is new

Healthcare knows what happened. Almost never why.

The decisions that shape outcomes happen in the gap between visits. The answers live in the conversation, not in your claims or records.

The questions your data can't answer
  • Why did a patient stop treatment?
  • Why did adherence quietly decline?
  • Why did the caregiver become overwhelmed?
  • Why did a patient refuse a sound therapy?
The proof

Evidence, not anecdote.

Surveys are scheduled and narrow. Signal is continuous and open. Every answer is traceable to source, quantified across the cohort, and mapped across the journey. Never a cherry-picked quote.

“What defines quality of life after recurrence?”
Summary

After recurrence, families redefine quality of life toward presence, autonomy, and comfort. Lucid time at home over clinical milestones.

Prevalence
57%of post-recurrence conversations
In their words

“I don't need more days if I'm not really in them. I want to still be me.”

Consented · De-identified · Quantified across the cohort

Ask your patients the questions
no other data can answer.

We'll show you Signal live, on the questions that matter most to your therapeutic area.

For pharma, clinical development, medical affairs, research, and patient advocacy.

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