Dr.Patch – Healthcare Predictive AI Agent for Medical Check-up
VIVA · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
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 imagesAgent build and provenance
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Compliance
- 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
Sources
Publisher resources
1 linkLinked repositories
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