VISION 2027
Bridging Clinical Signals to Digital — Transforming pain tracking, structural questionnaires, and vital signs into actionable data parameters to power a next-generation digital healthcare ecosystem.
Our Vision
The Future We Envision
A preventive model of care where clinical insights are collected and synthesized in real time—enabling primary care physicians to remotely review data and intervene proactively, minimizing the need for unnecessary hospital visits. CyberMDCare is anchoring the future of virtual medicine.
Problem Statement
The Problem We Solve
The U.S. Medicare Advantage market is estimated at approximately $500 billion in federal expenditures annually. Yet as virtual care expands, consistently capturing clinical data and reliably verifying patient identity remain unresolved challenges.
The Data Gap
CMS has been phasing in the V28 HCC risk-adjustment model since 2024. This model demands robust clinical evidence, yet systematically accumulating such data in a fragmented telehealth environment remains a significant challenge.
The Trust Gap
In virtual care settings, verifying that the person receiving treatment is the actual insurance beneficiary is structurally difficult — a challenge directly tied to Medicare Advantage fraud risk.
CyberMDCare aims to address both gaps head-on through clinical data processing technology and biometric authentication.
※ Market size figures are reference estimates based on CMS FY2025 Medicare Advantage expenditure reports and do not guarantee any revenue or profit of the Company.
Core Technology
Core Technology Framework
P·Q·R Clinical Signal System
An advanced algorithmic framework designed to unify heterogeneous health vectors—specifically Pain coordinates, variable Questionnaires, and Respiratory/Vital Signs—into a single, standardized clinical signal stream for streamlined processing.
Clinical Evidence Engine
An optimized software engine—clinicalEvidenceEngine.ts—engineered to process multiple streams of clinical data concurrently, translating raw metrics into actionable clinical insights for healthcare providers.
BioSignBox Biometric Signature
Our proprietary dual-biometric framework engineered to cross-verify intent by combining facial topography parameters, behavioral ink dynamics, and secure session logs—directly confronting the identity verification and beneficiary fraud challenges inherent in virtual care.
Cloud Integration Architecture
Data routed from Bluetooth-enabled medical devices and mobile endpoints is securely encrypted and transmitted to dedicated cloud storage in strict compliance with HIPAA and federal privacy standards, allowing authorized physicians to retrieve and act on reference data securely at any time.
Integration Strategy
clinicalEvidenceEngine.ts & CMS V28 HCC Integration Strategy
Patient input & measurement → Encrypted channel → Cloud storage → Physician remote access → Clinical & preventive intervention
Our core technical approach is designing the P·Q·R signal system to systematically generate and accumulate the clinical evidence data required by the V28 HCC model.
The CMS V28 HCC model determines risk-adjusted payments for Medicare Advantage plans based on patient disease complexity and risk. We are developing a structure in which P·Q·R clinical data can systematically supply the evidence needed for HCC coding.
The platform aims to enable structured online collection and management of AWV (Annual Wellness Visit) and HEDIS (Healthcare Effectiveness Data) records. Both metrics directly influence Medicare Advantage Star Ratings, creating meaningful value for medical groups.
※ Currently in development and technical validation stage. Deployment in clinical settings requires compliance with U.S. federal and state regulations, clinical validation, and partnership agreements.
Identity Verification
BioSignBox — Solving the Trust Problem in Virtual Care
One of the most critical challenges arising from the expansion of virtual care is the vulnerability of patient identity verification. BioSignBox is our dual-biometric signature technology currently under development to address this challenge proactively.
Our proprietary dual-biometric framework engineered to cross-verify intent by combining facial topography parameters, behavioral ink dynamics, and secure session logs—directly confronting the identity verification and beneficiary fraud challenges inherent in virtual care.
The goal is to create a structure that can technically verify — in the event of a future dispute — that consent was given by the actual patient.
Given the U.S. medical litigation environment and regulatory audit risks, this capability aims to serve as a meaningful risk management tool for medical institutions.
Development Status: BioSignBox is currently under active development and has not yet been commercialized. This technology has been filed as a Provisional Patent Application with the USPTO (United States Patent and Trademark Office). The scope of patent protection will be determined upon conversion to a non-provisional application and completion of the USPTO examination process.
Roadmap
The Road to 2027
Technology Foundation & Priority Date Establishment
Implement the core technology architecture — including the P·Q·R clinical engine and BioSignBox — and file 18 Provisional Patent Applications with the USPTO to establish priority dates across the full technology ecosystem.
Non-Provisional Conversion & Field Validation
Convert each provisional filing to a non-provisional application within 12 months and advance USPTO examination. Concurrently, conduct technology compatibility reviews and preliminary partnership discussions with U.S. medical groups (MSOs and IPAs).
Global Digital Healthcare Ecosystem
Expand a fully integrated digital healthcare ecosystem connecting mobile, cloud, and AI. The focus is on meaningfully improving access to care for elderly Medicare patients living with chronic conditions.
Intellectual Property
Intellectual Property Status
CyberMDCare has filed a total of 18 Provisional Patent Applications with the USPTO to protect its core technologies.
Clinical Data Processing — P (Pain coordinates) · Q (Variable questionnaire) · R (Vital signs) integrated algorithm
Clinical Evidence Engine — clinicalEvidenceEngine.ts real-time digital signal processing
Biometric Signature System — BioSignBox dual biometric signature + behavioral log binding
Cloud Integration Architecture — Bluetooth medical device & mobile real-time data collection and storage
Company
Company Information
Connecting People to Longer, Healthier Lives Through Technology
Helping every person live longer and healthier — by elevating both the speed and precision of medicine. CyberMDCare is forging that path through a clinical evidence-based digital healthcare technology system.
Longer and Healthier LivesLegal
Investor Notices & Forward-Looking Statement Disclaimer
This page contains forward-looking statements regarding CyberMDCare's technology development, business plans, market outlook, and patent filing strategy. Such statements are based on current assumptions, plans, expectations, and estimates.
1. Forward-Looking Statements
2. Basis and Assumptions
3. Risk of Differing Outcomes
4. Special Notice Regarding Provisional Patent Applications
5. Corporate Disclosure
This disclaimer has been prepared with reference to the Safe Harbor provisions of Article 125, Paragraph 2 of the Republic of Korea Financial Investment Services and Capital Markets Act.