Inferscience
by Inferscience
· Based in United States →
— AI-driven risk adjustment and HCC coding solutions that improve documentation accuracy, reduce audit risk, and ease provider workload at the point of care.
Documentation ProvidedRegulatory Status Disclosed
Overview
Inferscience’s HCC Assistant is an AI-powered clinical decision support tool designed to assist healthcare providers in identifying and documenting Hierarchical Condition Category (HCC) codes for risk adjustment.
- What it does: The HCC Assistant integrates with Electronic Health Records (EHRs) to analyze structured and unstructured patient data in real-time. It uses Natural Language Processing (NLP) and algorithms to suggest appropriate HCC codes and potential missed diagnoses. The tool also provides real-time estimated Risk Adjustment Factor (RAF) scores to show the impact of selected codes. It can perform both prospective and retrospective chart reviews.
- Who it is for: This tool is primarily for healthcare providers, including those in primary care and multi-specialty group practices, as well as coders, health plans, and Accountable Care Organizations (ACOs). It is utilized in outpatient clinics and physician office care settings.
- How it fits a clinical or practice workflow: The HCC Assistant operates within the provider’s existing EHR workflow, surfacing HCC coding suggestions as the provider documents the patient encounter. Providers can review the suggested codes and add them to the EHR with a few clicks. It can also be used in a coder workflow where coding teams can curate suggestions before they are presented to providers. Implementation typically takes 2-4 weeks and utilizes FHIR APIs from the EHR.
- Notable capabilities: Key features include real-time analysis of patient charts, AI-powered HCC suggestions, RAF score improvement insights, and OCR document analysis to identify relevant diagnoses from scanned documents. It aims to improve documentation accuracy and compliance for risk-based reimbursement models such as Medicare Advantage and ACA.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-driven HCC identification
- Risk adjustment optimization
- Coding accuracy improvement
- Documentation gap analysis
- Integration with other Inferscience tools
Use Cases
- Improving HCC coding accuracy
- Optimizing risk adjustment scores
- Enhancing clinical documentation for financial accuracy
- Supporting health plans in risk management
- Assisting providers with patient acuity documentation
What Physicians Need to Know
EHR Auto-Population
The HCC Assistant integrates with major EHRs and can auto-populate selected HCC codes and supporting plan of care documentation back into the patient chart with a single click. [2, 3, 4, 5, 7, 8, 15, 17]
Note Template Customization
While the tool focuses on suggesting HCC codes and supporting documentation, direct note template customization features are not explicitly highlighted. Its primary function is to analyze existing documentation and suggest improvements for HCC coding. [2, 3, 5, 10]
Specialty-Specific Models
The HCC Assistant is designed to support various care settings, including ambulatory practices, hospitals/health systems, and health plans, with specific support for primary care. [2]
Real-Time vs Post-Visit Processing
The HCC Assistant analyzes patient data and provides HCC coding suggestions in real-time, both during the patient encounter (concurrent review) and for pre-visit preparation (prospective review). It also supports retrospective review for identifying missed codes after claims submission. [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18]
Note Turnaround Time
The HCC Assistant streamlines the coding process, enabling clinicians to review and document HCC codes confidently in less than 10 minutes per chart, saving providers hours of repetitive work. [5, 6]
Chart Review Features
The HCC Assistant utilizes advanced Natural Language Processing (NLP) to analyze structured and unstructured data from patient charts, including scanned PDFs, images, and clinical documents via OCR. It identifies overlooked diagnoses and provides HCC code suggestions, along with estimated Risk Adjustment Factor (RAF) scoring. It supports both provider and coder workflows for pre-encounter chart scrubbing and in-appointment analysis. [3, 4, 5, 9, 10, 11, 15, 16, 17, 18]
Physician Tip
Leverage the real-time HCC code suggestions and RAF score estimations to ensure comprehensive and accurate documentation during the patient encounter. Utilize the tool for both prospective review (pre-visit) to prepare for potential HCCs and concurrent review to capture conditions at the point of care. This can significantly reduce documentation burden and improve coding accuracy, leading to maximized reimbursement and better patient risk stratification. Remember to review the suggested codes and supporting documentation for MEAT (Monitor, Evaluate, Assess/Address, Treat) criteria compliance, especially with the HCC Validator add-on, to ensure audit-ready submissions. [3, 4, 5, 6, 11, 12, 13, 14, 17]
Inferscience HCC Assistant is a cloud-based platform that integrates with all major EHRs, including athenaClinicals, eClinicalWorks, Cerner PowerChart, Veradigm ProEHR, Alterra Touchworks, Epic, Greenway, DrChrono, Centricity, NextGen, MEDENT, Elation, Practice Fusion, Modernizing Medicine, and Meditech. Implementation typically takes 2-4 weeks and utilizes FHIR APIs from the EHR solution. It can also be integrated with any web-based EHR. [2, 3, 4, 5, 6, 7, 8, 15, 17, 18]
Details
| Category | Documentation & Scribing, Population Health Analytics, Prior Authorization |
| Pricing |
Unknown
|
| Free Trial | Unknown |
| Deployment | EHR-integrated, web-based. |
| API Available | Yes |
| Training | Yes |
| Target Size | Health systems, MA plans, and large coding operations that need to review thousands of charts per quarter. Also targets payer-owned providers, multi-specialty group practices, and single-specialty group practices with 21-1000+ clinicians. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Not applicable AI-estimated Inferscience does not have FDA clearance. Other companies like Infervision and InMed AI have received FDA 510(k) clearance for their respective AI-driven solutions in lung nodule detection and brain volume quantification. |
| SOC 2 | Yes AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Internal Medicine, Primary Care |
Social Proof
| Customers | unknown |
| Notable | unknown |
Support & Reliability
| Training Provided | Yes |
What the Web Says
Inferscience's HCC Assistant is generally viewed as a valuable tool for healthcare providers, particularly for its ability to improve the accuracy and completeness of HCC coding. Reviewers highlight its integration with EHR systems and its role in enhancing revenue cycle management and compliance. While praised for its core functionality, some users point out areas for improvement in user interface and initial setup.
Overall: PositiveStrengths
- Improves HCC coding accuracy and completeness
- Enhances revenue cycle management and reimbursement
- Integrates well with existing EHR systems (e.g., Epic, Cerner)
- Identifies missed coding opportunities
- Helps with compliance and audit readiness
- User-friendly interface for physicians
Limitations
- Initial setup and integration can be complex
- Learning curve for new users
- Potential for alert fatigue if not configured properly
- Some users desire more customization options
- Occasional minor bugs or performance issues reported
- Cost can be a barrier for smaller practices
Based on reviews from: G2, Capterra, Reddit (healthcare IT discussions), Healthcare IT News, Physician forums and blogs
Last updated: 2026-07-19
Ratings & Reviews
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Press & Coverage
Inferscience
Inferscience Achieves SOC II Certification, Reinforcing Commitment to Data Security in Healthcare
Inferscience announced its successful achievement of SOC II certification, demonstrating its commitment to data security and privacy in the healthcare industry. This rigorous validation confirms their adherence to industry best practices and regulations.
2023-06
Inferscience
Infera's Integration With Drchrono EHR
Inferscience announced the full integration of its clinical decision support system, Infera, with drchrono EHR, providing real-time, patient-specific, and evidence-based care recommendations. This integration aims to help users practice evidence-based medicine and manage patients according to the latest clinical guidelines.
2021-12
Inferscience
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 Allscripts ProEHR and TouchWorks. This integration aims to improve patient outcomes by providing timely, patient-specific actionable recommendations at the point of care.
2021-12
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 two exclusions, one retroactive adjustment, and necessary actions for health plans.
2026-07
Inferscience
10 Key AI in Healthcare Statistics Driving Industry Change
This article delves into the transformative impact of AI technologies within the healthcare sector, presenting compelling statistics that underscore AI's pivotal role in enhancing operational efficiencies, improving patient care, and tackling challenges such as coding accuracy and cost reduction.
2025-07
Inferscience
10 Essential AI in Healthcare Research Papers for CFOs
This article highlights key research papers demonstrating the transformative role of artificial intelligence in healthcare, particularly from a financial management perspective for Chief Financial Officers (CFOs). It emphasizes how AI can enhance operational efficiency, reduce costs, and improve patient outcomes.
2025-07
Inferscience
Clinical Oversight in an AI World: How to Keep Human Judgment at the Center
This article explains why human review, transparency, and governance are essential when using AI in healthcare for coding, quality, and compliance. It emphasizes that AI should support clinicians, coders, and compliance teams, not replace them.
2026-01
Inferscience
4 Key Practices for Effective AI Use in Health Care
This article delineates four essential practices for the effective utilization of AI in healthcare, encompassing understanding AI's role, implementing strategies for operational efficiency, ensuring compliance and managing risks, and evaluating AI tools for ongoing improvement.
2025-06
Videos
Product demos, reviews, and walkthroughs for Inferscience.
Inferscience Webinar // EHR - Practice Management | drchrono
DrChrono
Tackling Physician Burnout The Hidden Costs of Clunky Documentation Systems
Inferscience
Why Risk Adjustment Matters More Than Ever: Sunilu2019s Journey From Medicine to Health Tech
Inferscience
Navigating Healthcare Interoperability Tailwinds, Headwinds, and the Human Impact
Inferscience
Transforming Clinical Care with AI: How Physicians Can Lead the Healthcare Revolution
Inferscience
Closing Care Gaps and Turning Data Into Action for Better Patient Outcomes
Inferscience
Frequently Asked Questions
Inferscience offers AI-powered solutions like the HCC Assistant, AI Chart Assistant, and Quality Assistant to streamline documentation and scribing. These tools use Natural Language Processing (NLP) to analyze patient data from EHRs, notes, and other sources, providing real-time coding recommendations, identifying care gaps, and summarizing clinical information.
Inferscience prioritizes compliance by designing its AI systems with robust data privacy and security measures, including HIPAA certification. Its HCC Validator tool specifically ensures that ICD-10 HCC codes meet MEAT (Monitoring, Evaluation, Assessment, Treatment) criteria, which is crucial for reducing audit risk and avoiding financial penalties. The platform also helps organizations prepare for CMS audits by reinforcing documentation clarity and accuracy at the point of care, rather than relying on retrospective corrections.
While Inferscience focuses on HCC coding and risk adjustment within the EHR workflow, other AI tools offer different functionalities. Alternatives for documentation and scribing include Doximity GPT, Abridge, and Heidi, which focus on generating clinical notes and summaries. For clinical decision support and evidence-based answers, options like OpenEvidence, Glass Health, UpToDate Expert AI, and Dr. Oracle are available.
Inferscience does not publicly disclose its pricing. Like many enterprise healthcare software solutions, it is typically sold through a demo-to-contract process with custom quotes based on factors such as patient volume, the scope of chart review, and integration requirements. In contrast, some alternatives like HCC Buddy publish their pricing publicly, and others like Doximity GPT are free.
While Inferscience aims to reduce administrative burden and improve accuracy, potential limitations could include the need for staff training to optimize usage and acceptance of AI tools. Additionally, while AI tools enhance efficiency, 40% of physicians remain skeptical about AI fulfilling high expectations. The effectiveness of AI systems is also directly tied to the quality of the data they utilize, requiring high-quality, structured data management practices.
Inferscience solutions are designed to integrate seamlessly with major EHR systems like athenahealth, Cerner, Epic, and eClinicalWorks. This integration allows the AI tools to analyze structured and unstructured patient data directly within the physician's workflow, surfacing relevant insights and enabling users to submit codes and documentation back to the EHR.
Yes, Inferscience's HCC Assistant is designed to improve RAF scores by identifying overlooked diagnoses and closing HCC coding gaps, leading to an average increase of 35% in RAF scores for some users. By enhancing documentation accuracy and ensuring compliance with HCC reporting requirements, Inferscience helps maximize payments from Medicare Advantage plans and ACOs, contributing to stronger financial performance.
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| Last Verified: 2026-07-20 | First Added: 2026-07-19