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Scattered information, brought together
Link device measurements, imaging assessments and care records into a timeline for each user.
← Back to the TwinCare.ai spaceUnderstanding one person,
TWINCARE.AI / PERSONAL HEALTH TWIN
Understanding one person,
connected intelligence.
A personal digital twin linking daily-life, care, imaging and test data. From understanding condition to prevention-centered health management.
04 / THE INTELLIGENCE OF CARE
Where the real you
meets AI in the virtual space.
A Personal Health Twin that understands one person in depth through data.
TwinCare.ai connects measurements and records, moving toward prevention-centered care.
TwinCare.aiPERSONAL HEALTH TWIN
Device & daily-life data
Imaging & assessment records
Care & health records
Seamlessly connected around one person
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Helping AI understand change
We are developing AI that supports summarizing recent condition, analyzing change against earlier records, and organizing information that needs attention.
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to the caregiver's next care
We design a flow in which caregivers review AI summaries and record drafts, then carry them into tasks and information sharing according to each role and permission.
TwinCare.ai · CARE INTELLIGENCE
Service concept exampleAI SUMMARY / DEVELOPMENT DIRECTION
Caregiver reviewReading many records, together with the context that matters.
A flow that gathers mattress usage history, imaging assessments and care notes into a status summary for the caregiver to review.
Device usage historyImaging assessmentCare notes
This is an illustrative example of the AI service. It is not real-time AI analysis or real user data.
A PERSONAL TWIN, CONTINUOUSLY UPDATED
Capturing the present condition,
AI that thinks about the next care.
Not a record that ends with a single measurement, but a personal health context that is updated over time.
Bed & sensorsSkin & wound imagingDaily life & careHealth & tests
Updating my status
We aim for a digital twin that links diverse data for each user and keeps the time and source of each item.
AI understanding and change analysis
Organize the context and evidence for caregivers to review through status summaries and comparison over time.
Prevention planning & care connection
We expand validated prediction features step by step, and, after caregiver review, connect them to care priorities and the next care actions.
Review again, understand again
Keep understanding each person's condition by reviewing changes after care together with new records.
Linking originals and evidenceAI estimates kept separate from final assessmentsUse in line with consent and permissions
Service foundationInstitution, bed, user and equipment management linked with measurement data
AI development directionSummaries, change analysis, record drafts → validated risk prediction
ROLE-BASED CONNECTION
Looking at the same person,
together, each in their own role.
Institution administrator
Manage institutions, wards, beds, users and equipment assignment in a single flow.
Institution structureUser registrationEquipment assignment
Clinicians & caregivers
Review each person's measurement trends, imaging assessments and records together, and consider the next step of care.
Measurement trendsImaging assessmentCare records
Users & family members
We are expanding toward viewing health and care information that is shared according to consent and permissions.
Sharing scopeUnderstanding conditionCare connection
Building on the basic management and data-connection flow, we are advancing AI support and role-based information sharing. The actual scope provided depends on the service version.
THE NEXT CHAPTER
From updating status
to prevention-centered management.
We aim for a cycle of status update → analysis & prediction → prevention planning & intervention → re-assessment. Prediction features expand step by step as data and validation evidence accumulate.
Consent-based agent connection
We are envisioning a connection structure in which personal agents and external services can look up and summarize measurements, status and care records within the permitted scope.
Development and expansionLET’S CONNECT
Designing the connections of TwinCare.ai together.
Talk to us about institutional adoption and integrating device data and AI services.