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Dr.Patch – Healthcare Predictive AI Agent for Medical Check-up

VIVA · Operations & Productivity

SaaSNo attestation published

Certification per Microsoft Marketplace.

Medical AIHealthcare AIPredictive AI
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 7 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

What is Dr.Patch?

Dr.Patch is a Healthcare Predictive AI agent specialized in medical checkup data, designed to support physicians, hospitals, and life science partners in interpreting medical checkup results and managing follow-up workflows at scale.

Show the rest of the publisher’s description (44 more lines)

By analyzing structured and unstructured medical checkup data—including laboratory results, imaging summaries, and longitudinal screening histories—Dr.Patch generates predictive insights, risk stratification, and standardized follow-up guidance using medical-grade generative AI.

Dr.Patch functions as a clinical support and data intelligence layer, enabling healthcare organizations to operationalize medical checkup data beyond one-time screening events.

Who is Dr.Patch for?

Dr.Patch is built for institutional healthcare and life science environments where medical checkup data requires consistent and compliant interpretation.

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Hospitals & Medical Checkup Centers

Standardized result interpretation, reduced physician workload, and improved operational efficiency

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Physicians & Clinical Teams

AI-assisted risk prediction, structured follow-up planning, and decision support

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Pharma & Life Science Partners

Medical checkup–based population insights, risk cohort identification, and data-driven engagement strategies

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Healthcare Operators & Care Teams

Workflow-aligned follow-up guidance and patient communication support

What problem does Dr.Patch solve?

Healthcare institutions and pharma partners face challenges in converting growing volumes of medical checkup data into actionable intelligence.

  • Fragmented medical checkup data across systems
  • Time-constrained physician workflows
  • Inconsistent follow-up recommendations
  • One-time utilization of screening data
  • Limited activation of medical checkup data for pharma use cases

Dr.Patch addresses these challenges by applying Healthcare Predictive AI to standardize interpretation and enable longitudinal insights.

Key Capabilities

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Healthcare Predictive AI for Medical Checkups

Applies predictive modeling to longitudinal medical checkup data to identify health risks and trends.

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Medical Checkup–Specialized Generative AI

Produces structured explanations and summaries aligned with clinical and institutional standards.

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Physician Support & Follow-up Intelligence

Assists physicians with risk stratification and follow-up planning while preserving clinical authority.

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Enterprise-Ready AI Agent Architecture

Designed for integration into hospital systems, data platforms, and life science analytics environments.

Why Dr.Patch is different

Dr.Patch is not a general healthcare chatbot.

It is a Healthcare Predictive AI agent purpose-built for medical checkups, enabling hospitals and pharma partners to transform screening data into scalable clinical and population-level intelligence.

By supporting physicians with predictive insights, Dr.Patch enables a shift from reactive screening to proactive, preventive healthcare operations.

Safety & Responsibility

Dr.Patch is designed to support—not replace—physicians.

All outputs are intended for clinical and analytical support and must be reviewed by qualified healthcare professionals.

Preview

4 images
Dr.Patch – Healthcare Predictive AI Agent for Medical Check-up preview 1Dr.Patch – Healthcare Predictive AI Agent for Medical Check-up preview 2Dr.Patch – Healthcare Predictive AI Agent for Medical Check-up preview 3Dr.Patch – Healthcare Predictive AI Agent for Medical Check-up preview 4

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment

Company비바이노베이션 ㅣ 매년 받는 건강검진을 뿌듯한 순간으로Automated
HQSouth KoreaAutomated

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

1 link
Supportwww.adoc.co.krSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://www.adoc.co.kr/
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