Product Features
Overview
BitHive (BTT) represents a breakthrough fusion of medical innovation and Web3 technology, creating a new generation of medical chain infrastructure for the global digitalization of healthcare services. BTT was initiated by the BitWave Protocol Laboratory in the United States and led by Hong Kong's China Digital Healthcare Group (HK.08406), with participation from M DAO, Web3 Ventures, KNCapital, CryptoSeed Fund, and AN Innovators Capital, raising $6 million in Series A funding. BTT provides a comprehensive solution that harmoniously integrates cutting-edge artificial intelligence computing power, Decentralized Physical Infrastructure Networks (DePIN), Real-World Assets (RWA) tokenization, and financial technology (PayFi). This unique combination makes BTT the first ecosystem to address the complex challenges of modern healthcare delivery and create new value for all participants in the health and wellness domain.
BTT platform achieves its breakthrough capabilities through four interconnected technological pillars, as shown in Table 1:
Table 1: BTT Technology Integration Matrix
AI Computing
Neural network models, distributed computing, edge processing
Clinical systems, imaging equipment, medical record data
Diagnostic accuracy, treatment planning, operational efficiency
DePIN Hardware
DePIN nodes, computing units, network validators
Dental clinics, hospitals, research centers
Reduced infrastructure costs, democratized computing access, ecosystem growth
RWA Tokenization
Smart contracts, compliance frameworks, digital asset registry
Medical equipment, service rights, intellectual property
Capital efficiency, liquidity creation, democratized investment
PayFi Integration
Payment channels, digital wallets, cross-border settlement
Healthcare providers, insurance systems, patient services
Financial inclusion, payment efficiency, cost reduction
Medical AI Computing Network
The cornerstone of BTT's innovation is its AI computing infrastructure designed specifically for medical applications. Drawing on successful practices in global medical AI, BTT's network supports advanced medical imaging diagnostic functions, including multi-modal medical image analysis of CT, MRI, X-ray, and other formats, efficiently identifying various disease characteristics and providing precise diagnostic assistance. The system integrates world-leading medical AI model capabilities and can generate comprehensive imaging analysis reports within seconds, significantly improving the diagnostic efficiency and accuracy of medical institutions.
Unlike traditional computing solutions, BTT introduces a truly elastic AI computing architecture, addressing two major challenges faced by traditional medical computing solutions: resource wastage due to over-provisioning during normal periods and insufficient computing capacity during peak periods affecting quality of care. Through BTT's decentralized medical computing network, AI computing resources can dynamically expand according to the actual clinical needs of medical institutions, ensuring reliability of performance while significantly reducing overall costs.
BTT's intelligent computing allocation system continuously balances multiple key factors to achieve optimal efficiency for medical AI applications. The network monitors the usage of each node in real-time, task importance and priority, evaluates overall cost-effectiveness, and adjusts computing allocation based on the urgency and importance of medical decisions. Through this dynamic resource scheduling mechanism, the system can precisely allocate computing resources to where they are most needed, providing stronger computing capabilities for critical application scenarios such as emergency care and complex diagnoses, while reasonably optimizing resource allocation during routine medical service periods. This intelligent approach ensures that medical institutions can obtain high-quality, affordable AI computing services in various scenarios.
Table 2: BTT Medical AI Computing Network Application Scenarios
Medical Imaging Diagnostics
Multi-modal image analysis, lesion detection, tissue classification
94% diagnostic accuracy, 68% time reduction
Immediate
Clinical Decision Support
Medical data integration, multi-dimensional risk assessment, personalized treatment plans
85% treatment plan optimization, 52% treatment efficiency improvement
Q3 2025
Disease Prediction Models
Early disease screening, chronic disease management, efficacy prediction
Early detection rate increased by 62%, treatment success rate improved by 45%
Q4 2025
Medical Operations Optimization
Patient flow analysis, intelligent resource allocation, supply chain optimization
35% operational efficiency improvement, 30% cost reduction
Q2 2026
BTT's AI computing network supports various advanced medical application scenarios, including three-dimensional reconstruction and analysis of medical images, multi-omics data integration, intelligent diagnostic assistance, and personalized treatment planning. The platform integrates advanced algorithms from top medical AI research institutions and supports the widespread application of computationally intensive AI technologies in the medical field, such as deep learning and federated learning, providing medical institutions with full-process AI support from early disease screening to intraoperative real-time decision-making assistance.
DePIN Hardware Ecosystem
The BTT network provides a revolutionary way to participate in medical computing infrastructure through its DePIN hardware system. From individual investors to medical institutions, various participants can contribute computing resources to the global medical network through DePIN computing nodes specifically designed and optimized for the medical AI field. This distributed medical computing infrastructure model creates a win-win ecosystem: healthcare providers gain cost-effective AI computing resources, while computing node operators earn BTT token rewards by providing computing power.
Table 3: BTT DePIN Hardware Specifications
Tier 1 (Basic)
15 TOPS
2.5 TOPS/W
120-150 BTT/month
¥3,000-5,000
Tier 2 (Standard)
45 TOPS
3.2 TOPS/W
300-400 BTT/month
¥8,000-12,000
Tier 3 (Professional)
120 TOPS
3.8 TOPS/W
700-900 BTT/month
¥20,000-30,000
Tier 4 (Enterprise)
450+ TOPS
4.5 TOPS/W
2,500-3,500 BTT/month
¥70,000-120,000
This medical computing DePIN ecosystem has designed a new multi-tier hardware architecture that supports various computing needs, from lightweight medical image inference to large-scale medical AI model training. This diversified hardware design perfectly matches the diverse needs of modern medical AI applications, efficiently supporting everything from daily diagnostic assistance to complex precision medicine simulation systems. Compared to traditional centralized cloud computing models, BTT's distributed medical computing network has significant advantages in cost-effectiveness, handling capacity for both normal and surge situations, geographical distribution, and data sovereignty protection.
BTT's medical computing node reward system uses an advanced multi-factor reward algorithm:
BTT's intelligent reward system fairly compensates computing power contributors by comprehensively evaluating the following four key dimensions: 1) Computing power contribution, including device performance and computing resource utilization; 2) Stability and availability, assessing device online time and responsiveness; 3) Service quality, including computational accuracy and actual computing effectiveness; 4) Network contribution, such as node geographical distribution and data security. The system automatically balances these factors through dynamic algorithms and adjusts the weights of each factor according to the real-time needs of the current medical network. Additionally, the system implements dynamic market balancing mechanisms to ensure that reward distribution remains fair and reasonable as the network grows, effectively incentivizing continued participation and high-quality medical AI computing power contributions.
Table 4: Medical AI Computing Cost Comparison - Traditional Models vs. BTT DePIN Infrastructure
Initial Capital Expenditure
Low (¥0-20,000)
Very High (¥800,000+)
Distributed, Optional Investment
Ongoing Operational Costs
High (¥50,000-80,000/month)
Medium (¥25,000-40,000/month)
Low (¥8,000-20,000/month)
Computing Expansion Costs
Linear growth, high costs during peak periods
Stepped growth, high fixed costs
Elastic fractional pricing
System Reliability
Medium-High (dependent on single service provider)
Medium (affected by local maintenance)
Very High (distributed redundancy)
Three-Year Total Cost of Ownership
¥1,800,000-2,900,000
¥1,700,000-2,200,000
¥290,000-740,000
Real World Asset Tokenization
BTT introduces a transformative approach to medical financing through the tokenization of physical and intangible medical assets. This innovative framework enables partial ownership and transparent transactions of various medical assets—from advanced diagnostic equipment and clinical facilities to service rights and intellectual property. For medical institutions, this creates unprecedented opportunities to unlock liquidity from existing assets, support expansion financing, and distribute ownership in ways that traditional financial models cannot achieve.
Table 5: BTT Tokenizable Medical Assets
Medical Equipment
Imaging devices, diagnostic systems, surgical equipment
Asset-backed security tokens
CSRC regulation
¥450B market
Medical Real Estate
Hospitals, clinics, research laboratories
Partial ownership tokens
Real estate investment regulations
¥180B market
Medical Service Rights
Expert consultations, priority care, health management plans
Utility tokens
Self-regulation
¥15B market
Medical Intellectual Property
Treatment protocols, medical AI models, clinical datasets
IP rights tokens
Intellectual property law compliance
¥65B market
Medical Revenue Streams
Healthcare service revenue, health management subscriptions, R&D investments
Revenue sharing tokens
Securities regulations
¥90B market
The platform's RWA capabilities extend beyond simple tokenization to include comprehensive lifecycle management, compliance validation, and automated dividend distribution. These features bridge traditional medical infrastructure with the emerging digital economy, enabling medical institutions and patients to realize new forms of collaboration and investment. For example, healthcare service networks can tokenize their expansion plans, allowing patients and community members to participate in their growth while gaining priority access to future healthcare services.
The value of tokenized assets in the BTT ecosystem is determined by the following valuation model:
Vtoken = [(CFt × (1+g)t) × (1-r)] / (1+d)t × Lf × Gf
Where:
Vtoken is the token value
CFt is the cash flow at time t
g is the growth rate
r is the risk coefficient for the specific asset class
d is the discount rate
Lf is the liquidity factor (0-1)
Gf is the governance quality factor (0.8-1.2)
Table 6: RWA Tokenization Benefit Analysis
Healthcare Providers
Limited capital access, 6-18 month financing cycles
Rapid liquidity, 24-72 hour financing
Financing cycle reduced by 85%
Patients/Community
No ownership access, purely consumption relationship
Investment opportunities, governance participation
Patient retention increased 3.2x
Investors
High minimum investment (¥500,000+), poor liquidity
Low barrier investment (¥1,000+), secondary market trading
Investor base expanded 150x
Regulators
Opaque ownership, complex compliance verification
Transparent registration, real-time compliance tracking
Audit/compliance costs reduced 65%
Health Activities and Incentive System
At the core of BTT's user engagement strategy is its innovative Health Activity Points System. This comprehensive reward mechanism incentivizes positive health behaviors and medical participation through token rewards. Patients earn BTT points through regular health check-ups, preventive health screenings, treatment plan compliance, and healthy lifestyle activities. These points integrate seamlessly with the BTT ecosystem and can be redeemed for medical services, health management products, or converted into other digital assets.
Table 7: BTT Health Activity Points System
Preventive Health Management
Regular comprehensive check-ups, early screening for difficult diseases, vaccinations
500-1,200 points
¥50-120
High (1.5x)
Chronic Disease Management
Continuous monitoring of hypertension, diabetes, and other chronic diseases; treatment compliance
200-800 points
¥20-80
Medium-High (1.3x)
Healthy Lifestyle Habits
Exercise tracking, diet recording, sleep monitoring, stress management
5-25 points daily
¥0.5-2.5/day
Medium (1.2x)
Medical Health Education
Completion of disease knowledge courses, self-management skills training
100-300 points
¥10-30
Medium (1.2x)
Community Support
Patient group participation, experience sharing, health promotion ambassador
150-500 points
¥15-50
Medium (1.2x)
This incentive model creates a virtuous cycle where patients are economically motivated to engage in preventive healthcare—thereby reducing long-term medical costs and improving health outcomes. For healthcare providers, the system offers new ways to improve patient compliance, build long-term health management relationships, and significantly enhance the effectiveness of medical services. The health data collected by the system (under strict privacy protection) also provides real-time, valuable data support for medical institutions to optimize treatment plans and operational decisions.
BTT's smart health incentive system is based on advanced behavioral economics and medical outcome assessment models:
The incentive system employs multi-level evaluation criteria that consider not only the completion of activities themselves but also their actual improvement effect on patient health outcomes. The system uses artificial intelligence to analyze medical data, employs individualized health indicator baselines and progress tracking, and particularly rewards long-term health behavior persistence through a "continuity multiplier factor". This evidence-based approach ensures that rewards are directly related to real health value creation, promoting sustainable behavior change rather than short-term surface compliance, ultimately maximizing treatment effectiveness and efficient use of medical resources.
Table 8: BTT Medical Health Incentive System Impact Predictions
Preventive Check-up Participation Rate
37% of patient population
78% of patient population
+41%
Long-term Treatment Plan Completion Rate
58% completion rate
89% completion rate
+31%
Healthy Lifestyle Persistence Rate
22% long-term persistence rate
65% long-term persistence rate
+43%
Preventive vs. Acute Care Ratio
1:3.2
1:1.4
2.3x improvement
Average Medical Cost Savings
Baseline
¥12,800/year/person
-32%
PayFi Payment Integration
BTT bridges the gap between the medical digital economy and physical healthcare services through its integrated global medical PayFi payment solution. This cutting-edge system revolutionizes how patients worldwide access and pay for healthcare services, enabling value flow between different healthcare ecosystems. Patients can make seamless payments using BTT tokens, health points, and digital assets at participating medical institutions globally. The payment system supports both online and offline transactions, applicable to a full range of payments from routine medical consultations to complex surgeries, long-term treatment plans, and preventive health products.
Table 9: BTT PayFi Payment System Features
Payment Methods
Digital/Physical Payment
Cash, bank cards
BTT tokens, points, physical cards
Multi-dimensional payment options
Transaction Speed
Settlement Time
2-5 business days
Nearly instant
Immediate access to medical services
Cross-border Capability
International Payments
High fees (3-5%)
Low fees (0.5-1%)
Affordable global healthcare
Integration
System Compatibility
Limited POS systems
Universal APIs, supports QR codes
Seamless experience
Rewards
Cashback
0-1.5% cash back
3-8% token rewards
Enhanced financial value
Beyond basic payment functions, BTT's PayFi system addresses several key challenges in the global healthcare market. The system significantly promotes international medical tourism, cross-national specialty care, and global medical resource integration through a lightning-fast, low-cost cross-border medical payment network. The system particularly strengthens medical financial inclusion, providing medical funding solutions for patient groups underserved by traditional financial systems. For medical institutions, this integrated payment infrastructure significantly reduces management costs, dramatically shortens settlement times (from days to minutes), and resolves complex foreign exchange issues in international healthcare services through smartly optimized multi-currency processing workflows.
BTT PayFi payment efficiency index is calculated using the following formula:
BTT's payment system effectiveness is comprehensively evaluated across several practical dimensions. The system assesses how much faster payment settlements are compared to traditional methods, how much it reduces fees and transfer costs, how widely accepted the payment methods are among healthcare providers, and the additional value returned to users through rewards. This comprehensive perspective ensures that BTT's payment solutions deliver tangible benefits to patients and providers, focusing on speed, affordability, accessibility, and added value.
Table 10: BTT PayFi Market Penetration Roadmap
Phase 1: Initial Launch
Q2 2025
100+ medical centers
¥5-10M/month
Medical payment card, mobile app integration
Phase 2: Regional Expansion
Q4 2025
1,000+ regional hospitals and clinics
¥50-80M/month
Medical payment API, professional medical QR codes
Phase 3: National Rollout
Q2 2026
10,000+ national network
¥300-500M/month
Hospital integration, insurance partnerships
Phase 4: Internationalization
Q4 2026
1,000+ global centers
$50-100M/month
Multi-currency support, global settlement
Phase 5: Complete Ecosystem
2027 and beyond
Industry standardization
¥1B+/month
Complete financial service suite
Governance and Institutional Support
The credibility and long-term viability of BTT are guaranteed by its robust governance structure and support from leading global institutions. The platform was initiated by the BitWave Protocol Laboratory in the United States and led by Hong Kong's China Digital Healthcare Group (HK.08406), with participation from M DAO, Web3 Ventures, KNCapital, CryptoSeed Fund, and AN Innovators Capital in governance and oversight. These institutions have rich experience in global healthcare innovation, healthcare digitalization, and distributed network technology. This diverse governance architecture ensures that BTT can simultaneously comply with healthcare industry best practices, patient needs, and global regulatory standards, while maintaining the highest requirements for integrity, security, and compliance.
Table 11: BTT Governance Structure and Institutional Support
BitWave Protocol Laboratory
Founding Institution, Technology Designer
25% voting rights
Leader in medical Web3 field
Protocol design, technology leadership
China Digital Healthcare Group
Strategic Investor, Medical Expert
20% voting rights
Global leader in healthcare digitalization
Medical resource integration, market access
M DAO
Decentralized Governance Expert
15% voting rights
Leading DAO governance organization
DAO framework design, governance innovation
Web3 Ventures & KNCapital
Venture Capital, Growth Strategy
15% voting rights
Top Web3 and healthcare investment institutions
Capital strategy, ecosystem expansion
CryptoSeed Fund
Crypto Asset Investment Expert
10% voting rights
Early-stage blockchain project investor
Token economic model, market liquidity
BitHive Community DAO
User Representatives and Participants
15% voting rights
Distributed user community
User needs, product improvements, ecosystem participation
These strategic institutions not only provide governance support but also actively contribute global medical resources, expertise, and network effects, driving BTT's application and influence in the global healthcare ecosystem. This diverse international cooperation builds a solid bridge between traditional healthcare and emerging Web3 technologies, enhancing trust among regulatory bodies, healthcare providers, and patients, promoting digital transformation and innovation in the healthcare field.
BTT's governance effectiveness is measured through its balanced stakeholder representation formula:
Gindex = Σ(Si × (Pi/Ptotal) × Ii × Di) × Tf
Where:
Gindex represents the governance effectiveness index
Si is the stakeholder satisfaction score for each group
Pi and Ptotal are the voting rights for group i and total voting rights, respectively
Ii is the independence coefficient for the group
Di is the domain expertise coefficient for the group
Tf is the transparency coefficient for the governance process
Table 12: BTT Governance Evolution Roadmap
Foundation Phase
2025
Institution-led
Protocol establishment, core development
Low (20%)
Expansion Phase
2026
Hybrid governance
Community committee formation
Medium (40%)
Maturity Phase
2027
DAO transition
On-chain voting, elected representatives
High (60%)
Fully Decentralized
2028 and beyond
Advanced DAO
Full parameter control, financial independence
Very high (80%+)
Privacy, Security, and Interoperability
Given the extreme sensitivity of global healthcare data and diverse regulatory environments, BTT has implemented cutting-edge privacy protection and security defense systems in its core architecture. The platform employs advanced technologies such as zero-knowledge proofs, distributed encryption, and trusted computing to ensure the highest level of patient data protection while supporting secure cross-border medical data exchange and research collaboration. BTT's security architecture complies with major global healthcare regulations, including HIPAA, GDPR, China's Cybersecurity Law, and medical data protection regulations, providing a unified compliance framework for global healthcare data governance.
Table 13: BTT Medical Data Privacy and Security Framework
Data Sovereignty and Storage
Multi-regional data localization, zero-knowledge protection
Homomorphic encryption, verifiable computation, key sharding
HIPAA, GDPR, China's Cybersecurity Law, NEN 7510
Cross-border data leakage, regulatory risks
Medical Access Control
Dynamic permissions and data anonymization
Purpose-based access control, smart contract governance
ISO 27001, HITRUST, SOC 2
Data misuse, authorization boundaries
Consensus and Validation Layer
Multiple authorizations and clinical validation
Federated validation nodes, medical authorization certification
NIST SP 800-53, FDA security standards
Governance attacks, data tampering
Network and Transmission Security
Distributed defense architecture
Advanced TLS encryption, AI threat detection, blockchain verification
CSA cloud security matrix, medical IoT standards
Device intrusion, data interception
Audit and Risk Governance
Real-time monitoring and compliance automation
AI anomaly analysis, blockchain traceability, smart contract auditing
PCI DSS, CMMC, international medical audit standards
Fraudulent behavior, privacy leakage
Interoperability, as a core pillar of the BTT platform, achieves seamless connection of healthcare ecosystems through an innovative multi-level integration architecture. BTT's interoperability framework supports deep integration with global mainstream Hospital Information Systems (HIS), Radiology Information Systems (RIS), Laboratory Information Systems (LIS), Electronic Medical Record systems (EMR/EHR), and Health Information Exchange networks (HIE). The platform not only achieves interconnection and interoperability of traditional healthcare IT systems but also bridges Web3 financial systems, digital identity verification systems, cross-chain asset protocols, and distributed medical AI inference networks through innovative on-chain data interfaces.
BTT's medical interoperability is quantified through the following comprehensive evaluation metric:
Iop = Σ(Cs × Df × Sc × Vp) × (1 - Lt) × Ra
Where: Cs represents the number and diversity of connected systems, Df represents data flow and complexity, Sc measures standardization compliance level, Vp evaluates value preservation, Lt reflects latency and transmission loss, and Ra represents interface reliability and adaptability. Through this metric, BTT comprehensively monitors and optimizes its connectivity capabilities, data integrity, and interoperability efficiency in the global healthcare ecosystem. The system also monitors performance speed to ensure that interoperability is not affected by latency. This comprehensive approach ensures that BTT provides practical and valuable connections in the healthcare ecosystem, not just theoretical compatibility.
Table 14: BTT Global Healthcare Interoperability Framework
Healthcare Information Systems
HL7 FHIR R4, DICOM 2023, IHE XDS
Semantic-level real-time data exchange and clinical decision support
Global top hospital systems and EHR providers
Supports 90% of mainstream healthcare information standards
Healthcare Payment Networks
ISO 20022, Open Banking API, FHIR financial module
Smart contract-driven healthcare value payment
Global healthcare payment processors and insurance networks
160+ countries/regions' healthcare payment systems
Blockchain Interoperability
Cosmos IBC, Polkadot XCM, Ethereum cross-chain bridges
Cross-chain healthcare asset and secure data circulation
Ethereum, BNB Chain, Cosmos, Polygon
Compatible with global top 15 blockchain networks
Medical IoT Integration
IEEE 11073-PHD, BLE Medical, FHIR Device
Secure device authentication and data standardization
Global medical device manufacturer alliance
Supports 75% of modern medical device standards
AI Model Interoperability
ONNX, TensorFlow Serving, MedPerf, Clara
Federated learning and privacy-preserving inference frameworks
Leading medical AI research institutions and development platforms
Compatible with 12 major medical AI frameworks and standards
By integrating these cutting-edge features—medical AI computing network, distributed hardware infrastructure, healthcare asset tokenization, health incentive mechanisms, global payment systems, decentralized governance, and advanced security and interoperability frameworks—BTT has built a revolutionary healthcare ecosystem dedicated to addressing key challenges in modern healthcare services while creating innovative collaboration models and value growth opportunities for the global healthcare field.
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