Clarrio Patient App · App
Patient engagement and data capture between scheduled visits
The Patient App combines patient engagement, structured reports, and connected observations in configurable disease and longevity profiles. Personal views help members revisit patterns without interpreting them as treatment advice.
Good morning
What works for me
Capabilities
Product capabilities for longitudinal health data
Configurable profiles
Disease and longevity profiles in one app.
Structured check-ins
Protocol-appropriate patient reports on an agreed schedule; instrument validation and licensing require review.
Personal Response Graph
How someone responds to what they do and take.
What Works for Me
A personal view of the patterns that help.
White-label
Your brand, your clinic's name.
Passive data
Connects the wearables and devices people already own.
Overview
Member participation and structured data collection
The Clarrio Patient App collects what happens between visits with as little effort as possible: passive data from devices people already own, plus short structured check-ins on a schedule your team sets.
Members see their own patterns through a Personal Response Graph and a What Works for Me view. Your team receives the same information as coded, dated observations on the Clarrio Platform, ready for review and research.
Your day, in context.
Sleep
7h 12m
HRV
48 ms
Longevity · daily check-in
How is your energy today?
Sleep, activity and your report share one timeline.
What Works for Me
Illustrative · synthetic data
Illustrative · synthetic data
How it works
From source to insight in Clarrio Patient App
- 1
Onboard
Branded invitation, consent and profile selection in minutes.
- 2
Connect
Apple Health, Health Connect and supported wearables.
- 3
Check in
Short validated questions, usually under a minute.
- 4
Reflect
Members see personal patterns, framed as associations.
- 5
Share
Consented data flows into the program record.
Data flow & integrations
Data sources, integration pathways, and outputs
Clarrio Patient App sits between the sources your organization already has and the people who need to act on them. Select a node in the diagram to see the role it plays.
Apple Health: Sleep, HRV, steps and heart rate, with member permission.
Features in depth
Detailed product features and worked examples
Configurable profiles
One app supporting longevity and condition-specific profiles.
- Longevity, epilepsy, MG, cardiology and more
- Profile decides questions, schedule and views
- Switch or combine profiles without a new app
Illustrative example
A longevity member sees sleep and training; an MG profile adds fatigue and symptom questions.
Synthetic example for illustration; not a real person or measured outcome.
Structured check-ins
Short validated PROs at the cadence your protocol needs.
- Daily, weekly or event-triggered schedules
- Reminders tuned to reduce fatigue
- Responses stored as coded observations
Illustrative example
A 4-question evening check-in designed to take under a minute.
Synthetic example for illustration; not a real person or measured outcome.
Personal Response Graph
Shows how someone's signals moved alongside what they did or took.
- Links routines, medication and measurements
- Language framed as association, not advice
- Members can hide or annotate entries
Illustrative example
“On days after an evening wind-down, your sleep score was higher in this sample period.”
Synthetic example for illustration; not a real person or measured outcome.
What Works for Me
A personal summary of patterns that appear to help.
- Ranks patterns by consistency in the member's own data
- Refreshes as more data arrives
- Never presented as a recommendation
Illustrative example
Consistent sleep · Training routine · Morning light — ordered by observed association.
Synthetic example for illustration; not a real person or measured outcome.
White-label
Your clinic name, colors and content.
- Branded store listing
- Custom welcome and education content
- Program-specific terminology
Illustrative example
Members see your program, not a third-party app.
Synthetic example for illustration; not a real person or measured outcome.
Data
What the app captures
| Source | Examples | Cadence |
|---|---|---|
| Passive | Sleep, HRV, steps, heart rate via connected sources | Continuous |
| Active | Check-ins, symptoms, energy, mood | Scheduled |
| Events | Medication, routine changes, notable episodes | When logged |
| Consent | Source-level permissions and research consent | On change |
Before and after
How the product supports team review workflows
Without Clarrio Patient App
- Paper diaries or recall at the next visit
- Separate apps for each device and program
- Members see nothing back for their effort
With Clarrio Patient App
- Short check-ins plus passive data
- One branded app with configurable profiles
- Members get a personal view of their patterns
Who uses it
Different roles, different answers
Member / patient
“What seems to help me?”
Personal patterns in plain language.
Care team
“How has this person been between visits?”
Dated observations in the Platform timeline.
Study team
“Are participants completing the protocol?”
Completion rates by schedule and site.
FAQ
Clarrio Patient App questions
Longitudinal health intelligence
The product contributes to a shared three-dimensional record
Align clinical observations, medication or intervention history, and daily-life context without losing source meaning. Available data and review boundaries depend on the program.
One person / one shared timeline
Illustrative research data · Synthetic demonstration
Health and disease trajectories
Reported headache days / week
Treatments and interventions
Exposure · dose · reported experience
Behavior and daily life
Average sleep
Week 4 / Disease4 days · Symptom diary
Week 4 / TreatmentDose change · 20 mg daily recorded
Week 4 / Behavior6.1 h · Lower activity reported
Separate measures and independently scaled channels; values appear in their own units. Temporal alignment does not establish causality.
Benefits in practice
How this product fits a care or evidence workflow
Longevity clinics
Make the program review about the interval, not just the latest result
An annual assessment and a wearable dashboard answer different questions. The assessment describes a scheduled measurement; a device records selected aspects of everyday life. Neither alone explains whether a member could sustain a routine, why observations stopped or what they want to discuss. Combining them is useful only when the dates, measurement methods and member context remain distinguishable.
01
Agree a review question
Choose a specific interval and member goal rather than collecting every available signal.
02
Build the dated record
Use the Patient App for member context, the Platform for available source coverage and Intelligence for source-aware review.
03
Prepare the conversation
Compare like-for-like observation windows, inspect gaps and bring unresolved questions to the physician or coach.
For the professional team
Physicians and coaches gain a structured basis for preparation: which period changed, which source supports the observation and which question remains open. Leadership can separately review onboarding, connection support and review workload. A more detailed chart does not establish that the program improved health or extended life.
For patients, members and caregivers
Members can explain travel, routines and personal priorities alongside their observations. The benefit is continuity of the conversation, not another unexplained score. A useful member journey also makes room for people without a wearable and makes clear when the team will review what they share.
For payers and program funders
For an employer or payer considering a preventive program, participation and data coverage are starting points, not evidence of prevention or savings. Define the eligible population, program services and evaluation period before comparing results. A self-pay clinic membership does not imply an insurance coverage benefit.
- Review period
- Assessment dates and available between-visit observations
- Source context
- Device type, lab units and member-reported routine changes
- Unresolved question
- What should the member and team discuss at the next review?
Workflow illustration · not a customer result or live record
What to evaluate before making a claim
Track whether intended records are available, whether reviews are completed and whether members find the reporting burden acceptable. Analyze renewals separately from health outcomes; neither should be attributed to a software workflow without a suitable evaluation.
Explore evidence and evaluationHospitals & health systems
Connect the encounter to a follow-up process with an owner
An encounter record captures what happened in the service, not every aspect of life afterwards. A patient may face a device problem, a reporting burden or uncertainty about who will respond. More incoming data will not resolve those problems unless the service defines review responsibility, contact pathways and the boundary between routine follow-up and urgent care.
01
Choose the service window
Define the patient group and between-encounter questions the team can realistically review.
02
Add patient context
Use scoped Patient App reports alongside available records and home observations; review source gaps in the Platform.
03
Close the handoff
Prepare a source-aware summary for the responsible team and use the service's established follow-up and escalation procedures.
For the professional team
Clinicians can review the interval before an appointment; care managers can distinguish a stopped data feed from an unanswered report. Operational leaders need to understand who performs that review and what workload it creates. Clarrio.ai should be scoped alongside the existing system of record, not assumed to replace it.
For patients, members and caregivers
Patients can share everyday experience without having to reconstruct an entire interval at the next encounter. They also need clarity about response times, access support and what to do when urgent help is needed. A non-digital participation pathway matters for people whose devices, connectivity or circumstances make remote reporting difficult.
For payers and program funders
For a funded follow-up service, evidence should describe both reach and the service delivered. Reporting activity is not a readmission outcome, and a more complete record is not proof of lower utilization. Any comparison of service use needs linked outcome data, appropriate follow-up and a credible design.
- Pre-visit context
- Dated patient reports and available home observations
- Coverage review
- Source interruption distinguished from an unanswered report
- Handoff question
- Named review responsibility and the next service conversation
Workflow illustration · not a customer result or live record
What to evaluate before making a claim
Review reach, reporting burden, follow-up completion and staff workload alongside the service's intended outcomes. Examine participation across relevant patient groups so an apparently successful digital pathway does not conceal unequal access.
Explore evidence and evaluationPatients, members & caregivers
Give the person contributing data a meaningful place in the workflow
A person can complete many questions without understanding why they are being asked or who will read the answers. Device observations may look precise while missing personal context. A useful longitudinal journey starts with the person's priorities and makes the reporting purpose, burden and review arrangements understandable.
01
Explain the purpose
Agree what the care or research program needs to learn and what participation involves.
02
Capture lived experience
Use appropriate reports alongside available observations; distinguish the patient's own answers from caregiver observations.
03
Bring context to review
Discuss a dated interval with the responsible professional, including what is missing and what matters to the person.
For the professional team
Teams gain context for a more specific conversation, but should not assume that a missed report means a person disengaged. Accessibility, fatigue, language and connectivity may affect reporting. Define support and review arrangements before introducing new questions.
For patients, members and caregivers
Patients and members can keep a dated account of experiences they might otherwise forget. Caregivers can contribute observations when appropriately scoped, without replacing the person's own perspective. Personal patterns invite discussion; they are not instructions or proof that a particular routine produced an outcome.
For payers and program funders
A program's apparent reach can hide who could not participate. Payers and commissioners should examine access, reporting burden and representativeness alongside outcome evidence. Patient experience is an important perspective in appraisal, not a shortcut to an economic conclusion.
- Personal context
- The person's own priorities and dated reports
- Reporting perspective
- Patient answer or appropriately identified caregiver observation
- Review arrangement
- Who reviews reports, when and through which contact pathway
Workflow illustration · not a customer result or live record
What to evaluate before making a claim
Ask whether reporting is understandable, manageable and meaningful. Examine completion alongside accessibility and support needs. A high completion rate alone does not show that people feel heard or that a program has improved their health.
Explore evidence and evaluationIntegrations
Data sources and integration options
- iOS & Android
- Apple Health & Health Connect
- Wearables & home devices
- Clarrio Platform
Security & trust
Health data access, consent, and security
- Consent captured in-app
- Members control connected sources
- Encrypted in transit and at rest
Used in
Solutions using this product
Longevity & preventive health
Understand how health status, interventions and lifestyle behaviors evolve together over time. Clarrio.ai aligns those dimensions on a shared longitudinal member timeline.
See solutionPharma & biotech
Investigate disease trajectories, treatment exposure and patient experiences in real-world settings. Clarrio.ai aligns clinical, treatment and behavioral observations to support defined research questions.
See solutionHealth systems & hospitals
Connect clinical information with longitudinal treatment and patient-generated data for research and appropriate healthcare workflows. A shared timeline preserves source context for professional review.
See solutionThe platform
How the app, platform, and intelligence work together
Clarrio Intelligence
A health-specific language and reasoning layer over the harmonized record. It answers cohort and patient-level questions, summarizes trajectories and surfaces trends.
Explore this workflowClarrio Platform
A longitudinal health intelligence platform aligning clinical, drug and treatment, and behavioral information on one shared timeline. Dashboards, cohorts, research exports and APIs preserve the source context.
Explore this workflowRequest a demo
Explore disease, treatment and behavior together
Explore how clinical, treatment and behavioral information align around your program and the research or review questions your team needs to answer.
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