Inferscience
Claimed
Inferscience HCC Assistant
Inferscience HCC Assistant is a clinical decision support tool designed to help healthcare providers identify and document hierarchical condition category (HCC) codes for risk adjustment. It integrates with electronic health records (EHRs) to analyze patient data in real time and suggest appropriate HCC codes based on clinical documentation.
Product Overview
Security and Compliance Certifications: HIPAA, SOC 2 Type 2
Inferscience HCC Assistant is a clinical decision support tool designed to help healthcare providers identify and document hierarchical condition category (HCC) codes for risk adjustment. It integrates with electronic health records (EHRs) to analyze patient data in real time and suggest appropriate HCC codes based on clinical documentation. The tool supports Medicare Advantage, ACA, and other risk-based reimbursement models by improving coding accuracy and compliance.
Customers Served
Categories
Company Info
HQ Location
Newton, Massachusetts
Founded
2014
Headcount
11-50
Total Funding
Not available
Latest Round
Self-funded
Latest Round
Not available
Company Socials
Vendor’s Notes
Use Cases
Customers can opt for standard workflow where suggestions are directly surfaced to providers or the coder workflow where the coding team can curate HCC coding suggestions before being presented to providers.
Core Differentiators
The HCC Assistant is an AI based solution which provides HCC coding suggestions and plan of care suggestion to health care providers in their workflow in the EHR. The product has false positive rates of <3% and false negative rates of <1%. The product is integrated with all the major EHRs and can be integrated with any web-based EHRs. The product has robust reporting capability allowing admins to monitor usage and compliance. Our API solution allows 3rd parties to submit data and retrieve coding suggestions in their preferred format.
Demos
Notable
Claimed
Notable HCC Chart Review
Company Info
Founded: 2017
Headcount: 201-500
Customers
Customers Served: Hospital / Health System, Health Plan, Ambulatory Practice
Product Overview
Security and Compliance Certifications: HITRUST CSF, HIPAA, PCI DSS
Notable HCC Chart Review uses AI to analyze patient histories – including clinical notes, claims, and other data sources – to identify new and recapture hierarchical condition category (HCC) codes. This system provides evidence-based recommendations to providers during patient visits through EHR integration and supports medical coders, helping improve the accuracy of risk adjustment in both prospective and retrospective HCC workflows.
SOAP Health
Claimed
SOAP Health
Company Info
Founded: 2019
Headcount: 11-50
Customers
Verified Customers: 7
Customers Served: Ambulatory Practice, Hospital / Health System, Health Plan, Government, Employers
Product Overview
Security and Compliance Certifications: HIPAA
SOAP Health is an AI-powered medical interviewer that collects comprehensive patient data, including detailed family history and social determinants of health. It performs point-of-care risk assessments to identify potential issues like cancer and heart disease, offering evidence-based guidance to clinicians, and pre-generating clinical notes that can integrate into the EHR.
Cedar Gate Technologies
Cedar Gate
Company Info
Founded: 2014
Headcount: 501-1000
Customers
Customers Served: Hospital / Health System, Ambulatory Practice, Risk-Bearing Providers, Health Plan
Product Overview
Security and Compliance Certifications: HITRUST CSF, HIPAA, SOC 2 Type 2
Cedar Gate is a technology company that provides value-based care performance management solutions, from upfront contracting through population health analytics and performance measurement. Cedar Gate provides actuarial services to support with contracting and administration of value-based reimbursement structures such as bundled payments. Their data and analytics solutions integrate data from multiple sources and generate insights to drive care management activities. They work with payers and providers across many specialties and different populations.