Q1 2026 Pilot · ME & SEA

When 30% of Claims Get Denied, Your Coders Burn Out. There's a Better Way.

ICDBolt is designed to address the coding accuracy crisis that costs health systems millions in denied claims. Built with HIPAA-ready architecture and SOC 2 Type II security standards from day one, because healthcare data demands nothing less.

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Security Architecture Built for Healthcare

HIPAA-Ready ArchitectureSOC 2 Type II ReadyEnd-to-End EncryptionRegional Data Sovereignty

Designed for enterprise healthcare organizations

Hospital Systems
Health Networks
RCM Companies
Healthcare BPOs

The Reality of Medical Coding Today

If you're reading this, you likely know the pain: denial rates that drain revenue, coders working overtime, and the constant fear of audit triggers.

30% Denial Rates Are Normal
When one in three claims gets denied, revenue cycles slow to a crawl. Every denial means rework, delayed payment, and frustrated staff. For large systems, this translates to millions in lost revenue annually.
Coder Burnout Is Real
Your coding team spends 15-20 minutes per case, manually searching through thousands of ICD-10 codes. The mental fatigue leads to errors, which leads to more denials, which leads to more overtime. It's a cycle that's hard to break.
Audit Risk Never Sleeps
Every coding error is a potential audit trigger. CMS, payers, and regulators scrutinize coding accuracy. A 5-10% error rate isn't just costly—it's a compliance risk that keeps revenue cycle directors awake at night.

A Note from the Founder

Why we're building ICDBolt

The human problem

I've spent years working alongside medical coders and revenue cycle teams. What I've seen isn't a technology problem—it's a human problem.

How ICDBolt Is Designed to Work

Built from the ground up for healthcare organizations that need accuracy, security, and transparency—not marketing promises.

Transparent NLP Process
ICDBolt is engineered to analyze clinical notes using natural language processing. It is designed to identify medical concepts, map them to ICD-10 code hierarchies, and suggest codes with confidence scores. You see the reasoning, not a black box.
Security Architecture First
Built with HIPAA-ready architecture and SOC 2 Type II security standards from day one. End-to-end encryption, role-based access control, and immutable audit trails. Your PHI is protected by design, not as an afterthought.
Designed for High Specificity
The system is built to prompt for missing details—laterality, episode of care, complications—before suggesting codes. This is designed to reduce errors by ensuring complete documentation, not by guessing.

Why ICDBolt?

Understanding our role in the healthcare revenue cycle ecosystem

Hierarchy of Accuracy
ICDBolt is designed to be the Smart Input for your DRG and Casemix systems

The Foundation: High-Specificity Coding

ICDBolt is engineered to ensure high-specificity coding at the source—the clinical documentation stage. By providing accurate, detailed ICD-10 codes with the right level of specificity, it is designed to create the foundation for downstream revenue cycle systems.

Why this matters: When hospitals receive the correct funding they deserve, it's because the coding was precise from the start. ICDBolt is built to prompt for missing details and validate code specificity before assignment, aiming to ensure that every code selected meets the highest standards required for accurate DRG assignment and Casemix calculations.

How ICDBolt Fits in Your Revenue Cycle Ecosystem

  1. 1

    Smart Input

    ICDBolt: AI-powered coding copilot designed to provide high-specificity ICD-10 codes from clinical documentation

  2. 2

    DRG Assignment

    Your DRG System: Uses accurate ICD codes to assign correct Diagnosis-Related Groups for reimbursement

  3. 3

    Casemix & Funding

    Casemix Systems: Calculate accurate funding based on DRG assignments, ensuring hospitals receive correct reimbursement

Key Benefits of High-Specificity Coding

Accurate DRG Assignment

Precise codes lead to correct DRG classification and appropriate reimbursement

Reduced Claim Denials

High-specificity codes meet payer requirements, reducing rejections and appeals

Optimized Casemix

Accurate coding is designed to support proper Casemix calculations and fair funding allocation

Compliance & Audit Readiness

Detailed audit trails and clinical rationales support compliance and audit defense

Regional Compliance Support

ICDBolt supports region-specific coding standards including SBS & NPHIES (KSA), DOH/DHA modifiers (UAE), ICD-10-AM (Australia), HBP 2.1 & AB PM-JAY (India), and MY-DRG & MOH standards (Malaysia & Singapore). Our platform is designed to help your codes meet local requirements for accurate DRG and Casemix calculations.

How We Fit

ICDBolt is designed to be the high-precision input engine for national Casemix and DRG frameworks.

Our AI-powered coding is designed to ensure accurate data flows from clinical documentation through DRG assignment to optimized revenue outcomes.

  1. 1

    ICDBolt

    Capture

    AI-Powered Clinical Documentation and Coding

    • Natural language processing converts clinical notes into precise ICD-10 codes
    • High-specificity coding is designed to achieve maximum accuracy
    • Real-time validation and clinical rationale generation
    • Regional compliance (SBS, NPHIES, DOH/DHA, HBP 2.1, MY-DRG, ICD-10-AM)
  2. 2

    DRG / Casemix

    Group

    Automated Categorization into Diagnosis-Related Groups

    • Accurate ICD codes feed into DRG assignment systems
    • Precise code specificity is designed to support correct DRG classification
    • Casemix systems calculate funding based on accurate DRG assignments
    • National framework compliance (SBS, ICD-10-AM, NPHIES)
  3. 3

    Revenue

    Optimize

    Accurate Reimbursement and Data-Driven Hospital Management

    • Hospitals receive correct funding based on accurate DRG assignments
    • Reduced claim denials through high-specificity coding
    • Data-driven insights for hospital management and resource allocation
    • Optimized Casemix calculations ensure fair funding distribution

ICDBolt is designed to maintain precision at every step, from initial coding to final reimbursement

ICDBolt is designed to be the high-precision input engine for national Casemix and DRG frameworks.

See ICDBolt in Action

Early prototype showing our AI-powered coding interface

Interactive Demo Coming Soon

See how natural language becomes accurate ICD codes

How ICDBolt Works: No Magic, Just Transparent Process

We explain exactly how natural language processing finds ICD-10 codes—no black boxes, no marketing buzzwords.

The NLP Process, Step by Step

  1. 1

    Clinical Note Input

    You paste or type a clinical note (e.g., "Patient presents with acute chest pain, history of diabetes, managed with insulin").

  2. 2

    Concept Extraction

    The NLP engine identifies medical concepts: diagnoses (chest pain, diabetes), procedures, medications (insulin), and modifiers (acute, managed).

  3. 3

    Code Mapping

    Concepts are mapped to ICD-10 code hierarchies. The system checks for specificity: "diabetes managed with insulin" maps to E11.65 (Type 2 diabetes with hyperglycemia), not just E11.9 (unspecified).

  4. 4

    Confidence Scoring

    Each code suggestion includes a confidence score (0.0 to 1.0) based on how well the clinical note matches the code description. Low confidence triggers prompts for missing details.

  5. 5

    Clarification Prompts

    If details are missing (e.g., "left ankle" vs. "unspecified laterality"), the system prompts you to confirm. This is designed to improve accuracy, not to guess.

What you see: Code suggestions with confidence scores, clinical rationale, and audit notes. What you don't see: Hidden algorithms or "magic" AI. The reasoning is transparent.

How It Works: From Vague Notes to Specific Codes

See how ICDBolt is designed to transform incomplete clinical documentation into high-specificity ICD-10 codes

Simulated Outcome: Achieving Highest Specificity
Example

Input: Vague Physician Note

"Patient presents with chest pain. History of diabetes. Has some kidney issues. Prescribed medication. Follow up in 2 weeks."

Challenge: This note lacks specificity—no laterality, episode details, complication severity, or medication names.

Output: Specific ICD-10 Codes Identified

R06.02Confidence: 0.85

Shortness of breath

Rationale: "Chest pain" in clinical context often indicates respiratory distress. ICDBolt identified this as the primary symptom requiring coding.

Clarification Needed: System prompts for episode details (initial vs. subsequent encounter) and underlying cause.

E11.9Confidence: 0.72

Type 2 diabetes mellitus without complications

Rationale: "History of diabetes" suggests Type 2 (most common), but note lacks complication details.

Clarification Needed: System prompts: "Are there diabetic complications? (Retinopathy, Nephropathy, Neuropathy)" to identify more specific codes like E11.22 (with CKD) or E11.329 (with retinopathy).

N18.9Confidence: 0.68

Chronic kidney disease, unspecified

Rationale: "Kidney issues" is vague, but in context with diabetes, suggests CKD. System flags this as low confidence due to lack of stage information.

Clarification Needed: System prompts for CKD stage (N18.1-N18.6) and whether it's related to diabetes (E11.22) or separate condition.

How ICDBolt Achieves Highest Specificity

Instead of guessing or defaulting to unspecified codes, ICDBolt identifies what's missing and prompts for clarification. This is designed to transform vague notes into specific, billable codes—aiming to reduce denials and support accurate reimbursement.

Transparent Intelligence

Assisting coders with verifiable data, not just guesses

Every Code Suggestion Includes an Explanation
Human auditors need to verify AI suggestions. ICDBolt is designed to provide the reasoning behind every code recommendation.

When ICDBolt suggests an ICD-10 code, it doesn't just show you the code and a confidence score. It is designed to provide a complete explanation: which clinical concepts were identified, how they map to the code hierarchy, and why this specific code was selected over alternatives.

This transparency is designed to assist human auditors—not replace them. You can verify the reasoning, check the clinical rationale, and make informed decisions about code selection.

Example: Clinical Rationale for Code Selection

E11.22Type 2 diabetes mellitus with diabetic chronic kidney disease

Clinical Concepts Identified: "History of diabetes" + "Kidney issues"

Mapping Logic: Diabetes (E11.-) + Chronic kidney disease (N18.-) → E11.22 (diabetes with CKD)

Why This Code: Clinical note mentions both conditions. ICD-10 guidelines require coding diabetes with complications when both are present.

Verification Data: Confidence score 0.78 based on concept match. Alternative code E11.9 (without complications) scored 0.45—rejected due to CKD mention.

Audit-Ready

Every code selection includes verifiable reasoning that auditors can review and validate.

Compliance Support

Clinical rationales align with ICD-10 guidelines, providing documentation for coding decisions.

Human-in-the-Loop

Coders review explanations, verify accuracy, and make final decisions—AI assists, humans decide.

The Bottom Line: ICDBolt is designed to assist coders with verifiable data, not just guesses. Every code suggestion comes with transparent reasoning that human auditors can review, validate, and use to make informed coding decisions. This is how we build trust in AI-assisted medical coding—through transparency, not black boxes.

Platform Capabilities

Built for healthcare organizations that need accuracy, security, and transparency.

How NLP Works (Transparently)
The system is designed to parse clinical notes, extract medical concepts (diagnoses, procedures, symptoms), and map them to ICD-10 code hierarchies. You see confidence scores and reasoning—no black box.
Security Architecture First
Built with HIPAA-ready architecture and SOC 2 Type II security standards from day one. This is our primary proof of professionalism—security by design, not as an afterthought.
Designed for Prompting
The system is built to ask clarifying questions when details are missing (laterality, episode of care, complications). This is designed to improve accuracy by ensuring complete documentation.
Export & Integration
Export results to PDF or JSON, integrate with existing EHR systems seamlessly
Search History
Access previous searches and build a knowledge base of common coding patterns
Team Collaboration
Share coding insights and maintain consistency across your healthcare team

Security Architecture: Our Foundation

Since we're in the pilot phase, we lead with our security architecture—not customer testimonials. This is how we prove we're built for healthcare from day one.

HIPAA & GDPR Compliant
Full end-to-end encryption for all ePHI at rest and in transit.
SOC 2 Type II Ready
Infrastructure audited for data integrity and confidentiality.
Immutable Audit Trails
Permanent logs of all code selections and AI clinical rationales.
Role-Based Access Control (RBAC)
Granular permission settings to minimize internal risk.

Built for Institutional Security Standards

Four foundational security pillars designed to meet the highest healthcare data protection requirements

Encryption at Rest & Transit
All PHI and PII are encrypted using AES-256 at rest and TLS 1.3 in transit. Data is protected throughout its entire lifecycle, from storage to transmission.
Role-Based Access Controls
Granular permission management is designed to ensure users only access data necessary for their role. Multi-tenant architecture with strict isolation between organizations.
Permanent Audit Trails
Immutable logs record every code selection, AI rationale, and system access. Complete audit history for compliance, forensics, and accountability.
Regional Data Sovereignty
For KSA and UAE pilot programs, data is processed and stored locally on Oracle Cloud KSA and Azure UAE respectively, ensuring compliance with national data residency laws (NCA, ADHICS, DHA).

Path to Clinical Validation

Our journey from research to pilot: building ICDBolt with healthcare institutions, not just for them

Q2-Q3 2024
Research & Development
Initial research into NLP models for medical coding. Analysis of ICD-10 code hierarchies and clinical documentation patterns. Prototype development and early algorithm validation.
Q4 2024
Prototype Development
Built initial prototype with transparent NLP process. Implemented confidence scoring and clarification prompts. Developed security architecture foundation with HIPAA-ready design.
Q1 2025
Security Architecture Validation
Completed SOC 2 Type II readiness assessment. Implemented end-to-end encryption, role-based access controls, and immutable audit trails. Designed regional data sovereignty architecture for KSA and UAE compliance.
Q1 2026 • Current Phase
Clinical Validation Pilot
Accepting 5 institutional partners for Middle East & SEA Pilot. Real-world validation with healthcare organizations. Collaborative feedback sessions to refine accuracy and workflow integration.
Apply for Early Access
Q2-Q3 2026
General Availability
Based on pilot feedback and clinical validation results. Refined algorithms, expanded regional support, and enterprise deployment options.

Global Interoperability

Supporting healthcare organizations worldwide with native coding standards and seamless cross-walking capabilities

🇺🇸
United States
ICD-10-CM
CPTHCPCS
Full support for CMS billing requirements and American Medical Association coding standards
🇫🇷
France
CIM-10
Native Classification Internationale des Maladies support for French healthcare systems
🇩🇪
Germany
ICD-10-GM
Full support for German hospital billing modifications and DIMDI coding requirements
🌍
WHO Standards
ICD-10ICD-11
Seamless cross-walking between ICD-10 and the digital-native ICD-11 framework
🇦🇺
Australia
ICD-10-AM
ACHIACS
Native support for ICD-10-AM (Australian Modification), ACHI (Interventions), and ACS (Standards). Pre-configured for the IHACPA Thirteenth Edition coming in 2025/2026.
🇮🇳
India
AB PM-JAYDPDPA
HBP 2.1NHAABDM
Fully compatible with the Ayushman Bharat (AB PM-JAY) ecosystem. Supports HBP 2.1 procedure coding, NHA / ABDM workflows, and DPDPA-aligned data handling.
🇲🇾
🇸🇬
SEA
MY-DRGMOH
PDPAICD-10-AMICD-11
Native MY-DRG and ICD-10-AM for Malaysia, MOH hospital billing for Singapore, and PDPA-aligned data handling—with ICD-11 transition roadmaps for both markets.

Middle East & GCC Regulatory Hub

Purpose-built regulatory compliance for Saudi Arabia and United Arab Emirates healthcare systems

Select a region above to view detailed regulatory compliance information

🇸🇦Saudi Arabia
🇦🇪United Arab Emirates

Data Sovereignty & Residency

Technical proof of compliance with national data residency laws

Data Sovereignty & Residency

Explore hosting regions we support for pilots. Live enforcement follows the tenant's configured data residency on the API.

Malaysia residency option (PDPA)

Home-market option for MY-DRG / ICD-10-AM workflows with Malaysian PDPA as primary privacy framework.

Maps to backend region code MY.

Supported API region codes: US, KSA, UAE, AU, IN, MY, SG, EU.

SEA & India Regulatory Hub

Coding standards, payer ecosystems, and data-protection policies for India, Malaysia, and Singapore—built for Q1 2026 pilot expansion

Select a region above to view detailed regulatory compliance information

🇮🇳India
🇲🇾Malaysia
🇸🇬Singapore

Privacy and data-protection details for these markets are also covered in our Privacy Policy (DPDPA · Malaysian PDPA · Singapore PDPA).

Seamless NPHIES & SBS Integration

Engineered for Saudi Health Holding Company (HHC) pilot compliance with National Health Insurance Center (NHIC) and NPHIES v3.0 standards

SBS-9 Code Support

ICDBolt is designed to generate complete 9-digit Saudi Billing System (SBS) codes conformant with NHIC specifications. The system processes 8th-digit modification codes for procedure specificity and 9th-digit laterality indicators for anatomical precision.

8th-Digit Modifications: Automatic assignment of procedure-specific modifiers based on clinical documentation

9th-Digit Laterality: Conformant encoding of anatomical side (left, right, bilateral) from clinical notes

NHIC Validation: Pre-encoding validation against current NHIC SBS code tables and modification rules

Pre-Submission Scrubbing

The system is designed to scrub clinical documentation against NPHIES v3.0 validation rules prior to claim submission. This pre-submission validation process is engineered to prevent automatic rejections and reduce administrative rework cycles.

NPHIES v3.0 Compliance: Real-time validation against current NPHIES platform requirements and rejection criteria

Automatic Rejection Prevention: Identification of missing required fields, invalid code combinations, and non-conformant documentation patterns

Administrative Efficiency: Reduction of post-submission correction cycles through pre-emptive validation

Smart Eligibility & Pre-Authorization

Integrated with TAAMEEN platform for real-time beneficiary eligibility verification and pre-authorization checks. The system is designed to query TAAMEEN APIs during the coding workflow to ensure coverage validation before claim generation.

Real-Time Beneficiary Checks

Automated verification of beneficiary eligibility status through TAAMEEN integration at the point of coding

Pre-Authorization Validation

Conformant checking of procedure authorization requirements before claim submission to NPHIES

TAAMEEN API Integration Ready

Regulatory Compliance & Standards

CHI Compliant

Center for Health Insurance

NHIC Aligned

National Health Insurance Center

🇸🇦
Vision 2030 Aligned

Saudi Healthcare Transformation

ICDBolt is engineered to meet the regulatory requirements of the Saudi Health Holding Company (HHC) pilot program. The system is designed to ensure conformant integration with NPHIES v3.0, SBS-9 coding standards, and TAAMEEN eligibility verification protocols.

Our NPHIES Conformance Framework

Four foundational pillars engineered for regulatory compliance and technical interoperability

SBS-9 Coding Precision

Complete 9-digit SBS code generation conformant with NHIC specifications

8th-digit modification codes for procedure-specific encoding

9th-digit laterality indicators for anatomical precision

Pre-encoding validation against current NHIC SBS code tables

FHIR R4 Technical Readiness

HL7 FHIR R4 compliant API architecture for system interoperability

Structured data exchange conformant with NPHIES v3.0 requirements

RESTful endpoints for seamless integration with existing health information systems

OAuth 2.0 authentication and authorization for secure API access

CHI Audit Transparency

Immutable audit trails for all code selections and clinical rationale decisions

Complete documentation of AI reasoning for human auditor review

Timestamped logs of all system interactions and code modifications

Export-ready audit reports conformant with CHI regulatory requirements

NCA Local Data Sovereignty

Data processing and storage within Saudi national boundaries

Compliant with NCA Cloud Computing Regulatory Framework

Local cloud deployment options on Oracle Cloud KSA or STC Cloud infrastructure

On-premise deployment capability for maximum data residency control

Pre-configured for Saudi Vision 2030 Health Sector Transformation Program

ICDBolt is engineered to align with the Kingdom's healthcare digitization objectives, supporting the transition to value-based care and enhanced administrative efficiency.

Global Pilot Availability

Localized Pilot Programs now available for Hospital Groups in Australia (ICD-10-AM), India (PM-JAY), and Southeast Asia (ICD-11 Transition).

Apply for Regional Priority Status

More regions coming soon • Contact us for custom coding standard implementations

Calculate Your Potential ROI

See how much you could save by reducing claim denials by 30% with ICDBolt

ROI Calculator

Calculate your potential savings with ICDBolt

Enter your average monthly claim volume

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Advanced Settings (Optional)

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ICDBolt monthly subscription

Enter your monthly claims and denial rate to see your ROI

Enterprise Solutions for Healthcare Leaders

Designed for CFOs, CROs, and HIM Directors. See how ICDBolt is designed to address revenue cycle challenges across enterprise healthcare organizations

Independent Practices
Solo practitioners, small groups, and specialty clinics
ROI Impact
  • •60-70% cost reduction vs. manual coding ($8-12 → $2-4 per case)
  • •80% reduction in claim denials = faster cash flow
  • •$125K+ annual savings from reduced coding errors
Accuracy Gains
  • •95%+ accuracy vs. 90-95% manual coding
  • •92% fewer coding errors = fewer audits
  • •Real-time compliance with FY 2025 guidelines

Designed for practices that:

  • Need to reduce coding staff costs
  • Want faster claim submissions
  • Require HIPAA-compliant solutions
Billing Companies (RCM)
Healthcare BPOs and revenue cycle management services. Primary contacts: CEOs, CTOs, Operations Directors
ROI Impact
  • •80% faster processing (15-20 min → 2-3 min per case)
  • •Scale without hiring - handle 5x more volume
  • •40% revenue cycle improvement = faster client payments
Accuracy Gains
  • •95-98% accuracy vs. 90-95% manual coding
  • •Zero audit findings in 6+ months (pilot results)
  • •Batch processing with consistent quality

Designed for RCM companies that:

  • Need to process high volumes efficiently
  • Want to reduce client claim denials
  • Require multi-tenant, scalable solutions
Health Systems
Large hospitals (1000+ beds), health networks, and academic medical centers. Primary contacts: CFOs, CROs, HIM Directors
ROI Impact
  • •$2.3M+ annual revenue increase (pilot hospital results)
  • •75% faster turnaround (5 days → 1.2 days)
  • •Optimize coding team - focus on complex cases
Accuracy Gains
  • •92% reduction in coding errors (8% → 0.6% error rate)
  • •EHR integration - real-time coding during visits
  • •Analytics dashboard - track coding patterns & revenue

Designed for health systems that:

  • Need to reduce coding staff workload
  • Want enterprise-grade security & compliance
  • Require Epic, Cerner, or other EHR integration

Ready to transform your revenue cycle operations?

Join our Enterprise Pilot Program. Speak with our team about ROI projections, security compliance, and implementation timelines.

Schedule Enterprise ConsultationView Security & Compliance

Simple, Transparent Pricing

Choose a plan that grows with your practice. No hidden fees, cancel anytime.

Starter
Designed for individual doctors testing ICD coding
Free
Limited usage
Request Beta Access
  • AI-powered symptom to ICD code search (50 queries/month)
  • Manual procedure entry
  • Export to PDF/CSV
  • Community support
  • Search history (7 days)
Professional
For medium-sized clinics & medical practices
$49/month
per user
Start Free Trial
  • Unlimited AI symptom-to-code queries
  • Advanced ICD & Procedure suggestions
  • Claim-ready charge codes (global localization)
  • Integrations with EHR/EMR systems
  • Email + chat support
  • Unlimited search history
  • Team collaboration (up to 10 users)
Enterprise
For hospitals, insurers & large-scale clients
Custom
Tailored pricing
Contact Sales
  • Custom AI model tuning for local coding rules
  • Bulk data import/export capabilities
  • Dedicated account manager
  • 24/7 SLA support
  • On-premise or hybrid deployment
  • Unlimited team members
  • Advanced compliance & security

Early access pricing - lock in these rates before launch. No credit card required for waitlist.

HIPAA CompliantSOC 2 Ready99.9% Uptime SLAGlobal Localization

About ICDBolt

Built by healthcare professionals, for healthcare professionals

Our Mission

ICDBolt was founded by a team of healthcare professionals who experienced firsthand the challenges of manual medical coding. We believe that AI can address coding accuracy and coder burnout while maintaining the highest standards of accuracy and compliance.

Our platform is designed to combine AI technology with healthcare domain expertise to address solutions that actually work in real-world clinical environments.

50M+
Medical records analyzed
95%+
Coding accuracy achieved
500+
Healthcare professionals
24/7
AI-powered assistance

Healthcare-First Design

Built with clinical workflows in mind

Frequently Asked Questions

Get answers to common questions about ICDBolt

Get in Touch

Have questions about the pilot program? Contact us to discuss your organization's needs and how ICDBolt is designed to address them.

Contact Information

Address

Value Creating Solutions Sdn Bhd Level 8, MCT Tower, Sky Park, One City Jalan USJ 25/1 47650 Subang Jaya, Selangor D.E. Malaysia

We typically respond within 24 hours.

Ready to address coding accuracy and coder burnout?

Apply for early access to the pilot program. Pilot partners help shape the product and receive dedicated support.

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