Customers · Hospitals & health systems
An EHR-native insight layer that adds between-visit data to the record you already have.
Sound familiar?
How Clarrio.ai helps
Via Epic and Oracle Health
Deployable through the platform
Keep data where it belongs
Integration by our engineers
Benefits for you
The same record is shown differently to each person in your team.
Today
With Clarrio.ai
What you receive
Clarrio.ai / Intelligence
Clarrio Intelligence
Six months of dated wearable observations are available in this illustrative record. Review the period and contributing sources together.
Illustrative · synthetic data
Scenarios
Illustrative scenarios built from typical program workflows. They are not client case studies.
Illustrative scenario 1
A cardiology team wants better sight of patients in the weeks after leaving hospital.
Enroll
Patients join the app at discharge.
Collect
Weight, symptoms and activity between scheduled visits
Review
Care managers see changes on a daily list.
Contact
Patients with notable changes are called.
Report
Program engagement reviewed monthly.
Outputs: Post-discharge review list · Patient trend view · Program report
Illustrative scenario 2
A system runs a diabetes program at several sites with different workflows.
Standardize
One app profile and record across sites.
Integrate
Data available alongside the EHR.
Compare
Engagement and completeness by clinic.
Share practice
Sites learn from the best-performing workflows.
Evaluate
Aggregated cohort trends for leadership.
Outputs: Clinic comparison dashboard · Cohort trends · Evaluation export
Illustrative scenario 3
An academic center wants prospective, consented data for a registry.
Consent
Patients opt in to research use.
Capture
PROs, device data and EHR events linked.
Govern
Access controlled by role and study.
Analyze
Documented exports for researchers.
Publish
Aggregated outputs under local governance.
Outputs: Registry dataset · Data dictionary · Access log
Benefits in practice
Hospitals & health systems
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
Define the patient group and between-encounter questions the team can realistically review.
02
Use scoped Patient App reports alongside available records and home observations; review source gaps in the Platform.
03
Prepare a source-aware summary for the responsible team and use the service's established follow-up and escalation procedures.
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.
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 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.
Workflow illustration · not a customer result or live record
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 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 evaluationWhat you receive
Patient trajectories
Prioritized outreach
Population insight, partnership revenue
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