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Clarrio.ai

Customers · Longevity clinics

Longitudinal health data for longevity clinics and their members

Clarrio.ai puts the assessment you already run, the program your team prescribes, and continuous real-world data on one timeline per member.

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Sound familiar?

  • Members go quiet between visits
  • Renewals depend on visible progress
  • Clinicians rebuild the story at every visit
  • Outcomes are hard to evidence

How Clarrio.ai helps

Longitudinal data workflows for longevity clinics

Branded member app

White-label, in your clinic's name

Between-visit trajectories

For physicians and coaches

Program analytics

Retention, engagement and outcomes

Integration handled

Our engineers connect your records

Benefits for you

Pick your role and see what changes

The same record is shown differently to each person in your team.

Today

  • – Opens the quarterly visit with a blank page since the last assessment
  • – Asks the member to remember sleep, training and adherence over three months
  • – Compares labs and wearable exports by hand

With Clarrio.ai

  • + Opens a dated summary of what changed since the last visit
  • + Sees the protocol start dates next to sleep, HRV and check-in trends
  • + Spends the visit on decisions, not on reconstruction

What you receive

  • Pre-visit trajectory summary
  • Protocol response view per member
  • Sources behind each observation

Clarrio.ai / Intelligence

Clarrio Intelligence

A summary with a source

What changed in this member's HRV and sleep over six months?

Six months of dated wearable observations are available in this illustrative record. Review the period and contributing sources together.

The two series use different units: HRV in ms; sleep score on a 0–100 scale.

Illustrative · synthetic data

Source context: wearable observations, structured check-in and dated program note.

Scenarios

How it plays out, step by step

Illustrative scenarios built from typical program workflows. They are not client case studies.

Illustrative scenario 1

A new sleep protocol, followed for twelve weeks

A member starts a sleep protocol after their assessment. The clinic wants to know if it is followed and what changes.

  1. 1

    Protocol logged

    The start date is recorded in the member's timeline.

  2. 2

    Data arrives

    Wearable sleep data and a weekly two-minute check-in.

  3. 3

    Pattern surfaces

    Sleep regularity improves in weeks 3–6, then slips after travel.

  4. 4

    Coach follows up

    The member appears on the coach's list in week 8.

  5. 5

    Visit prep

    The physician opens a dated summary before the review.

Outputs: Protocol response timeline · Coach follow-up note · Pre-visit summary

Illustrative scenario 2

Spotting quiet members before renewal

Clinic leadership wants to reduce silent drop-off in the months before memberships renew.

  1. 1

    Engagement tracked

    Check-ins, app use and device syncs per member.

  2. 2

    Cohort view

    Members grouped by start month and program.

  3. 3

    Early signal

    A group with falling check-ins is flagged two months before renewal.

  4. 4

    Outreach

    Coaches contact those members with a personal progress view.

  5. 5

    Review

    Leadership compares engagement across cohorts.

Outputs: Engagement by cohort · Outreach list · Renewal-risk overview

Illustrative scenario 3

Evidencing outcomes for partners

The clinic wants consented, aggregated evidence of how its program performs, for marketing and research partners.

  1. 1

    Consent

    Members opt in to aggregated research use.

  2. 2

    Harmonize

    Labs, wearables and check-ins in one record per member.

  3. 3

    Define cohorts

    Program, duration and baseline profile.

  4. 4

    Summarize

    Aggregated trends across the cohort, with sources.

  5. 5

    Share

    An export for partners, with no individual identities.

Outputs: Cohort outcome report · Aggregated research export · Methodology note

Benefits in practice

Benefits and evidence needs across stakeholder roles

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.

  1. 01

    Agree a review question

    Choose a specific interval and member goal rather than collecting every available signal.

  2. 02

    Build the dated record

    Use the Patient App for member context, the Platform for available source coverage and Intelligence for source-aware review.

  3. 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.

Illustrative review brief
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 evaluation

Payers & health economics

Distinguish richer patient context from evidence of value

Claims and encounter datasets can describe recorded utilization without fully capturing function, experience or the practical burden of a program. Patient reports add a different perspective, but they can be incomplete or drawn from a population unlike the members covered by a payer. The task is to establish whether those observations are suitable for a specific appraisal question, not to turn engagement into a savings claim.

  1. 01

    Define the appraisal question

    Specify the relevant covered population, decision, comparator where needed and evaluation horizon.

  2. 02

    Assess data suitability

    Review provenance, participation, measurement windows and missingness before examining results.

  3. 03

    Build the evidence account

    Combine appropriately governed patient experience with relevant clinical or utilization evidence; document assumptions and limits for expert appraisal.

For the professional team

HEOR and population-health teams can examine how reported experience varies across the observation period and which groups are represented. A useful output explains the denominator behind a measure and the observations excluded from analysis. Governance must also define the permitted purpose of any linkage to payer-held data.

For patients, members and caregivers

The member perspective should remain visible in a program evaluation: burden, everyday function, access and what participants consider meaningful. Reporting should not become an unexplained condition of receiving services. Explain the collection purpose and permitted uses in a way members can understand.

For payers and program funders

Decision support means an inspectable evidence package, not an automatic reimbursement verdict. Include the target population, relevant baseline differences, data sources, follow-up and limitations. Cost and utilization conclusions need appropriate data and analysis; neither can be inferred from app activity or observation coverage.

Illustrative review brief
Decision context
Population, appraisal question and evaluation horizon
Suitability account
Provenance, completeness, accuracy and relevance
Interpretation boundary
What the analysis can support and what remains uncertain

Workflow illustration · not a customer result or live record

What to evaluate before making a claim

Separate program participation, patient-reported experience, clinical outcomes and economic endpoints. Define each before collection, use an appropriate comparison where the question requires one and examine whether findings transfer to the covered population.

Explore evidence and evaluation

Patients, 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.

  1. 01

    Explain the purpose

    Agree what the care or research program needs to learn and what participation involves.

  2. 02

    Capture lived experience

    Use appropriate reports alongside available observations; distinguish the patient's own answers from caregiver observations.

  3. 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.

Illustrative review brief
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 evaluation

What you receive

Data outputs for longevity clinics teams

Members

Personal trends and What Works for Me

Physicians & coaches

Prioritized follow-ups, visit prep

Leadership

Retention and outcome evidence

The Longevity & preventive health solution

Understand how health status, interventions and lifestyle behaviors evolve together over time. Clarrio.ai aligns those dimensions on a shared longitudinal member timeline.

See the full solution

Is this your team? Talk to us about your program.

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Other customers

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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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