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Inferscience
Inferscience
Documentation & Scribing
Inferscience HCC Assistant is an AI-powered tool designed to help healthcare providers and health plans optimize risk adjustment and HCC coding accuracy.

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About Inferscience

Inferscience is a healthcare AI company that develops clinical decision support systems (CDSS) designed to integrate seamlessly into Electronic Health Record (EHR) workflows. Their flagship product, Infera, and its components like the HCC Assistant, Quality Assistant, HCC Validator, and AI Chart Assistant, leverage artificial intelligence and natural language processing (NLP) to analyze patient data in real-time. This analysis provides physicians with evidence-based clinical recommendations, identifies Hierarchical Condition Category (HCC) codes for risk adjustment, and helps address care gaps at the point of care. The goal is to reduce administrative burden, streamline documentation, improve the accuracy of risk adjustment factor (RAF) scores, and ultimately enhance patient care and outcomes.

For physicians, Inferscience’s tools aim to simplify complex tasks like HCC coding and quality measure adherence. The HCC Assistant, for example, automatically analyzes patient charts and suggests HCC codes with high accuracy, allowing providers to accept or reject them quickly. The Quality Assistant helps identify and close care gaps by integrating care requirements directly into the EHR. The HCC Validator ensures that ICD-10 HCC codes comply with MEAT (Monitoring, Evaluation, Assessment, Treatment) criteria, reducing audit risk. Additionally, the AI Chart Assistant provides AI-powered patient summarization and clinical insights, organizing relevant data and reducing the need for extensive chart review. These solutions are built by physicians for clinicians, with the intent of delivering intelligent, in-the-moment insights to improve value-based outcomes and reduce physician burnout.

Focus Areas

AI in healthcare clinical decision support risk adjustment HCC coding quality measures natural language processing (NLP) EHR integration value-based care care gap management

Business Intelligence

Key Investorsunknown
Partnershipsathenahealth, Allscripts
Acquisitionsunknown
TechnologyCloud-native, AI-powered solutions utilizing advanced natural language processing (NLP) and clinical logic to analyze structured and unstructured patient data from EHRs, health information exchanges (HIEs), and claims.

What Physicians Need to Know

Clinical Decision Support (CDSS)
Inferscience's Infera CDSS provides real-time, patient-specific, and evidence-based care recommendations by analyzing structured and unstructured patient data from EHRs against over 90 care pathways. It helps clinicians practice evidence-based medicine efficiently and can reduce the need for some specialist referrals. The HCC Assistant, a clinical decision support tool, helps identify and document Hierarchical Condition Category (HCC) codes for risk adjustment.
Risk Adjustment & HCC Coding
Inferscience specializes in automating HCC coding and risk adjustment, aiming to improve RAF (Risk Adjustment Factor) accuracy and maximize Medicare Advantage reimbursements. Their HCC Assistant uses advanced NLP and AI to analyze clinical data in real-time, suggesting appropriate HCC codes and identifying missed diagnoses. This reduces manual effort, improves coding precision, and helps ensure compliance. The HCC Validator tool also helps ensure documentation meets MEAT criteria for audit defensibility.
Quality Management
The Quality Assistant helps providers identify and close care gaps within their normal workflow by integrating care requirements directly into EHRs and allowing for single-click updates to the plan of care.
AI-powered Patient Summarization
The AI Chart Assistant provides AI-powered patient summarization and clinical insights, organizing and prioritizing relevant clinical data from various sources (notes, labs, scanned PDFs) to create a clear, synthesized snapshot for clinicians.
EHR Integration
Inferscience solutions seamlessly integrate with major EHR systems like Epic, Cerner, athenahealth, eClinicalWorks, and Allscripts, utilizing FHIR APIs for efficient data exchange. This integration allows for real-time analysis of patient data and surfacing of insights directly within the clinical workflow.
Natural Language Processing (NLP)
Inferscience leverages advanced NLP algorithms to extract and analyze unstructured clinical data from physician notes, discharge summaries, and other sources. This is crucial for automating coding, enhancing diagnostic accuracy, and improving risk adjustment.
Physician Tip

Inferscience's solutions are built by physicians for clinicians, focusing on reducing administrative burden and physician burnout by automating tedious tasks like HCC coding. They provide real-time, in-workflow guidance and actionable recommendations, allowing physicians to focus more on patient care and make informed decisions at the point of care. The tools aim to improve documentation quality, ensure compliance, and enhance patient outcomes by surfacing care gaps and relevant clinical insights.

Inferscience integrates seamlessly with all major EHRs, including Epic, Cerner, athenahealth, eClinicalWorks, and Allscripts, often utilizing FHIR APIs for data exchange. They also integrate with third-party document repositories and Health Information Exchanges (HIEs) to provide a unified patient view.

Products by Inferscience

1 product in the directory

Inferscience
Inferscience
Documentation & Scribing
Inferscience HCC Assistant is an AI-powered tool designed to help healthcare providers and health plans optimize risk adjustment and HCC coding accuracy.

What the Web Says

Inferscience offers a clinical decision support tool, HCC Assistant, which uses AI and NLP to help healthcare providers with hierarchical condition category (HCC) coding for risk adjustment, aiming to improve documentation accuracy and compliance. The product is designed to integrate with Electronic Health Records (EHRs) and provides real-time coding suggestions. However, employer reviews for Inferscience are overwhelmingly negative, citing issues with management, pay, benefits, and company culture.

Overall: Mixed

Strengths

  • AI-based solution for HCC coding suggestions and plan of care
  • Integrates with major EHRs using FHIR APIs
  • Low false positive (<3%) and false negative (<1%) rates for coding suggestions
  • Robust reporting capabilities for monitoring usage and compliance
  • Improves documentation quality and audit readiness
  • User-friendly for providers and coding personnel

Limitations

  • Toxic CEO and poor management
  • Low base salary and limited PTO (sick days included)
  • No health insurance for employees
  • Lack of job security and advancement
  • Poor company culture
  • Core product is reportedly outsourced, leading to operational issues

Based on reviews from: Indeed.com, Elion, Inferscience Website

Last updated: 2026-07-19

Videos

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Press & Coverage

Inferscience Blog
CMS Just Published the CY 2027 Risk Adjustment Playbook: Two Exclusions, One Retroactive Adjustment, and What Plans Need to Do Now
This article from the Inferscience blog discusses the recently published CMS CY 2027 Risk Adjustment Playbook, highlighting key exclusions, retroactive adjustments, and necessary actions for health plans.
2026-07
Inferscience
HCC Coding & Healthcare Risk Adjustment Tools - Inferscience
This page provides an overview of Inferscience's AI-powered solutions for real-time risk adjustment and care gap management, emphasizing their integration with EHRs to improve HCC coding and documentation accuracy.
2026-07
Inferscience Blog
7 AI Tools in Healthcare Transforming Patient Care Efficiency
This article explores seven AI tools in healthcare, including Inferscience's HCC Assistant and HCC Validator, and their role in transforming patient care efficiency through automation of coding, claims management, and patient interactions.
2025-07
Inferscience Blog
4 Key Practices for Effective AI Use in Health Care
This article outlines four key practices for effective AI use in healthcare, focusing on understanding AI's role, implementing efficient strategies, ensuring compliance, and continuous evaluation of AI tools, with a mention of Inferscience's HCC Assistant.
2025-06
Inferscience Blog
10 AI Use Cases in Healthcare Transforming Patient Care
This article highlights ten AI use cases in healthcare, including medical imaging, predictive analytics, and virtual assistants, with a specific focus on how the Inferscience HCC Assistant streamlines coding and enhances accuracy.
2025-06
Inferscience Blog
3 Reasons Why You Need a Software Tool in your HCC Coding Workflow
This article discusses the challenges of manual HCC coding and presents three reasons why a software tool, such as those offered by Inferscience, is essential for improving accuracy, efficiency, and reducing administrative burden in the HCC coding workflow.
2025-03
Inferscience Blog
Latest Product Update: Infera Now Integrates with Athenahealth EHRs
Inferscience announced its acceptance into the athenahealth athenaMDP program, making its Infera clinical decision support system available to all athenaClinicals users to improve patient outcomes and the doctor's visit.
2021-12
Inferscience Blog
Product Update: Infera Now Integrates with Allscripts EHRs
Inferscience announced its certification with the Allscripts Developer Program, allowing its Infera clinical decision support solution to integrate with ProEHR and TouchWorks to transform the doctor's visit.
2021-12

Frequently Asked Questions

Inferscience provides AI-powered CDS tools that offer real-time insights and recommendations at the point of care. These tools integrate directly with major EHR systems to help physicians identify gaps in care, improve diagnostic accuracy, and ensure comprehensive HCC coding for optimal risk adjustment. The system leverages NLP to extract relevant information from clinical notes, streamlining workflows and enhancing data integrity for quality management initiatives.
Inferscience's platform employs advanced AI and NLP to automatically summarize patient charts, extracting critical information for risk adjustment and HCC coding. This technology helps identify undocumented conditions and potential coding errors, leading to more accurate risk scores and improved reimbursement. By providing concise patient summaries, it also aids in quality measure compliance and supports proactive population health management.
Inferscience offers flexible pricing models tailored to the size and needs of healthcare organizations, often based on per-provider or per-patient metrics. During implementation, clients receive comprehensive training and dedicated support to ensure a smooth transition. Ongoing support includes technical assistance, regular updates, and performance monitoring to optimize the platform's effectiveness and address any concerns.
Inferscience adheres to stringent compliance standards, including HIPAA, to ensure the security and privacy of protected health information (PHI). Their AI-powered solutions are designed with robust data encryption, access controls, and audit trails to safeguard sensitive patient data. The company is committed to meeting relevant industry certifications and regulatory requirements to maintain the highest level of data integrity and trust.
Inferscience has established strategic partnerships with leading EHR vendors and healthcare organizations to enhance interoperability and expand its market reach. The company demonstrates strong financial stability and a clear vision for future product development, focusing on continuous innovation in AI, NLP, and machine learning to address evolving healthcare needs. Their roadmap includes expanding capabilities in predictive analytics and personalized medicine to further empower clinicians and administrators.

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