JSON twin: https://www.healthaidb.com/software/dolbey-fusion-cac.json
Dolbey
https://www.dolbey.com/solutions/coding/fusion-cac/
Dolbey Fusion CAC is a computer-assisted coding (CAC) platform that uses NLP/AI to suggest ICD-10, CPT and PCS codes, prioritize charts, and automate simple outpatient coding to improve coder productivity and accuracy.
Fusion CAC is a comprehensive coding and auditing solution that combines machine learning/NLP-driven code suggestion, chart prioritization, autonomous coding (AutoClose), CDI alerts, denial management tracking and an integrated audit module to streamline hospital and professional coding workflows and reduce DNFB.
yes
1914
P0486
2025-09-07
proprietary/commercial
Contact vendor for pricing, tiers, and trial information.
enterprise_quote
2008
product
1.0
{
"company_name": "Dolbey",
"company_url": "https://www.dolbey.com/",
"company_offices": [
"United States"
],
"company_founding": "1914",
"product_url": "https://www.dolbey.com/solutions/coding/fusion-cac/",
"categories": [
"administrative",
"revenue cycle",
"computer-assisted coding",
"clinical documentation improvement",
"auditing"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://www.dolbey.com/",
"https://www.dolbey.com/solutions/coding/fusion-cac/",
"https://www.dolbey.com/wp-content/uploads/documentation/dolbey-cac-cdi-solutions.pdf",
"https://kb.dolbey.com/",
"https://www.dolbey.com/company/",
"https://www.dolbey.com/company/contact/",
"https://elion.health/products/dolbey-fusion-cac",
"https://klasresearch.com/review/fusion-cac/67963",
"https://www.dolbey.com/dolbey-rated-best-in-klas-for-computer-assisted-coding-for-the-ninth-consecutive-year/",
"https://www.dolbey.com/support/"
],
"summary": "Dolbey Fusion CAC is a computer-assisted coding (CAC) platform that uses NLP/AI to suggest ICD-10, CPT and PCS codes, prioritize charts, and automate simple outpatient coding to improve coder productivity and accuracy.",
"description": "Fusion CAC is a comprehensive coding and auditing solution that combines machine learning/NLP-driven code suggestion, chart prioritization, autonomous coding (AutoClose), CDI alerts, denial management tracking and an integrated audit module to streamline hospital and professional coding workflows and reduce DNFB.",
"target_users": [
"medical coders",
"coding auditors",
"clinical documentation improvement (CDI) specialists",
"revenue cycle managers",
"health information management (HIM) staff",
"billing specialists",
"clinical quality/ compliance teams"
],
"specialties": [
"medical coding",
"clinical documentation improvement",
"revenue cycle management",
"coding audit",
"denial management",
"quality measurement (PSI/HAC/Elixhauser)"
],
"regions_available": [
"United States",
"Canada"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, tiers, and trial information.",
"license": "proprietary/commercial",
"deployment_model": [
"on_prem",
"cloud",
"hybrid"
],
"os_platforms": [
"Web"
],
"features": [
"AI/ML-driven ICD-10, CPT, PCS code suggestions",
"Automated chart prioritization",
"Autonomous coding (AutoClose) for simple encounters",
"Integrated auditing module with scoring and findings",
"Denial management & tracking",
"Clinical Documentation Integrity (CDI) workflows and CDI Alerts",
"Quality initiative detection (PSI, HAC, Elixhauser comorbidities)",
"Workflow integration with EHR/billing systems",
"Productivity and accuracy analytics/reports",
"Collaborative coder–auditor communication tools"
],
"optional_modules": [
"AutoClose (autonomous coding)",
"CDI Alerts",
"Advanced auditing module",
"Denial tracking module"
],
"integrations": [
"EHR systems (interface/integration to major EHRs such as Epic, Cerner, MEDITECH)",
"Billing/charge capture systems",
"Revenue cycle management systems",
"Clinical documentation systems",
"Auditing systems"
],
"data_standards": [
"HL7 (interfaces)",
"ICD-10",
"CPT",
"SNOMED"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"HIPAA"
],
"certifications": [],
"security_features": [
"Role-based access control (RBAC)",
"Audit logs",
"Single sign-on (SSO)/SAML"
],
"privacy_features": [
"Business Associate Agreement (BAA) available",
"Consent/workflow support for documentation"
],
"data_residency": "",
"customers": [
"Hunt Regional Healthcare",
"Adventist Health System"
],
"user_reviews": [
"The vendor's staff is very friendly and helpful.",
"Fusion CAC helps with productivity. I trained a very green coder who...",
"From an update perspective, Dolbey seems to be very on top of things.",
"We haven't had any problems with integrations. From a coding...",
"Fusion CAC is very easy to use. Dolbey's customer service is awesome.",
"There is no dissatisfaction that would cause us to change from Fusion..."
],
"ratings": [
"Best in KLAS — Computer-Assisted Coding (multiple consecutive years; Best in KLAS 2017–2025)",
"KLAS performance/overall score ~89.9 (reported by TechTarget based on KLAS data)"
],
"support_channels": [
"phone",
"email",
"technical support/ticketing",
"knowledge base",
"community portal",
"nights/weekends support (after-hours phone)"
],
"training_options": [
"documentation",
"webinars",
"live_online training",
"onsite implementation/training"
],
"release_year": "2008",
"integration_partners": [
"Epic",
"Cerner",
"nVoq (partner for Fusion Narrate compatibility)",
"General EHR integrations (works with most EHRs / direct-to-billing integrations)"
],
"id": "P0486",
"slug": "dolbey-fusion-cac",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/dolbey-fusion-cac.json"
}
}