Therapeutic area · Cardiovascular health and risk
Blood pressure, heart rate, activity and adherence shift daily. Clarrio.ai brings home and clinical measurements together so trends are visible between encounters. Align clinical, treatment and behavioral information on one shared longitudinal timeline, where available and appropriate to the program.
What Clarrio.ai captures
The evidence gap
Office blood pressure readings are affected by the setting itself, and a few measurements per year say little about day-to-day variability. Home devices and wearables generate far more data, but it usually stays on the patient's phone.
Heart failure, hypertension and post-event recovery all depend on how patients live between visits: activity, sleep, weight, symptoms and whether medication is taken. Without that context, both care teams and researchers work from an incomplete picture.
Hypertension
Home readings capture variability and timing that office readings cannot.
Heart failure
Weight and symptom changes between visits are relevant context that is rarely recorded.
Cardiac rehabilitation
Activity progress at home is difficult to follow after discharge.
Lipid management
Adherence and lifestyle context sit outside the lab result.
The challenge
Cardiovascular management depends on measures that vary day to day, such as blood pressure, heart rate and activity. In-clinic readings are infrequent and affected by the visit itself. Home devices exist, but their readings rarely reach the care team in a usable form, so patients trending the wrong way are often identified late.
Toggle the chart to compare what a visit-based record shows with what the continuous record shows for the same synthetic patient.
Systolic BP (mmHg) over 120 days
Observations2
Events in periodNot visible
Events with no nearby visit3 of 3
Illustrative · synthetic data
Home data
Readings stay at home
Home BP and wearable data rarely enter the clinical record in structured form.
Prioritization
Who to call first?
Care teams cannot easily see which patients are trending the wrong way.
Context
Lifestyle unseen
Activity, recovery and adherence are recorded separately, if at all.
How Clarrio.ai addresses the gap
Connected home devices
Blood pressure cuffs, scales and wearables linked through the Patient App.
Symptom check-ins
Short structured check-ins on breathlessness, swelling and fatigue.
Clinical integration
Diagnoses, medications, echo and lab results via FHIR/HL7.
Trend summaries
Intelligence describes changes in averages and variability, with sources.
Data captured
Select a layer. Exact sources depend on deployment configuration and data permissions.
Captured from patients or caregivers in the Patient App.
Product workflow
Select a step to see what happens. Sources are captured through the Patient App and integrations, harmonized on the Platform and summarized by Intelligence.
Sources
Clarrio.ai workflow
Outputs
Stakeholder outputs
Each role receives a different view of the same longitudinal record. Values are synthetic.
Care manager
Patients sorted by recent trend and data recency, so outreach starts with those who most need a review.
Cardiologist
Home and clinic readings on one timeline, with medication changes marked.
Executive
Aggregate trends across the cardiovascular population support program planning.
Worked examples
Hypertension patient
Day 70
Home readings begin to rise.
Day 75
Patient appears at top of worklist.
Day 76
Care manager calls; adherence issue identified.
Day 85
Cardiologist reviews full context at visit.
Illustrative · synthetic data
Heart-failure follow-up
Day 0
Discharge; device paired.
Day 12
No readings; flagged for outreach.
Day 13
Device re-paired with support.
Illustrative · synthetic data
FAQ
Research & operational outputs
Cardiovascular dashboard
BP, heart rate, weight and activity on one timeline.
Pre-visit trend summary
What changed since the last encounter, with dates.
Cohort comparison
Trajectories across a patient group, by medication class or program.
Remote follow-up list
Patients whose data has stopped syncing, for outreach.
Pharmaceutical & biotech
Real-world trajectories and adherence context for cardiovascular therapies.
Hospitals & cardiologists
Home data organized for review instead of scattered across apps.
CROs
Remote device data collection with completeness tracking.
Payers & health systems
Population-level view of follow-up and engagement.
Patients
Visible progress and fewer unnecessary trips.
Program evaluation
These are the KPIs we agree with customers before deployment, measured against their own baseline. Data coverage, patient experience and clinical outcomes answer different questions. Higher engagement alone does not demonstrate better health or lower utilization.
Explore benefits and evidence| Lever | How it is measured |
|---|---|
| Remote follow-up efficiency | Follow-ups completed remotely relative to total |
| Capture completeness | Days with home readings relative to expected |
| Staff time | Hours spent collecting readings by phone |
| Research cost | Site visits avoided per participant |
Illustrative use case
Health system program, illustrative
Week 0
Patients enroll and pair a home cuff.
Weeks 1–8
Twice-weekly readings sync automatically; check-ins monthly.
Week 6
Dashboard groups patients by 7-day average trend for clinician review.
Week 12
Program report on engagement and data coverage.
Illustrative · synthetic data
Clarrio.ai has joined Mayo Clinic Platform's Solutions Studio, supporting its mission to advance interoperable, data-driven healthcare innovation. This does not imply endorsement or clinical validation.
Connect Cardiovascular Data Beyond the Hospital
Connect Cardiovascular Data Beyond the HospitalEvidence interpretation
Review measurement method, source and observation window before comparing trajectories. Activity, patient experience and home measurements answer different questions. A follow-up record does not replace urgent-care pathways or demonstrate fewer admissions.
Benefits in practice
Longevity clinics
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
Choose a specific interval and member goal rather than collecting every available signal.
02
Use the Patient App for member context, the Platform for available source coverage and Intelligence for source-aware review.
03
Compare like-for-like observation windows, inspect gaps and bring unresolved questions to the physician or coach.
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.
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 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.
Workflow illustration · not a customer result or live record
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 evaluationPayers & health economics
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.
01
Specify the relevant covered population, decision, comparator where needed and evaluation horizon.
02
Review provenance, participation, measurement windows and missingness before examining results.
03
Combine appropriately governed patient experience with relevant clinical or utilization evidence; document assumptions and limits for expert appraisal.
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.
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.
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.
Workflow illustration · not a customer result or live record
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 evaluationPatients, members & caregivers
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
Agree what the care or research program needs to learn and what participation involves.
02
Use appropriate reports alongside available observations; distinguish the patient's own answers from caregiver observations.
03
Discuss a dated interval with the responsible professional, including what is missing and what matters to the person.
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.
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.
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.
Workflow illustration · not a customer result or live record
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 evaluationRelated solutions
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 solutionUnderstand how health status, interventions and lifestyle behaviors evolve together over time. Clarrio.ai aligns those dimensions on a shared longitudinal member timeline.
See solutionRequest a demo
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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