ForeSee Medical Risk Adjustment

by ForeSee Medical  · Based in United States → — Where Insight Meets Opportunity®
Family Medicine Hospital Medicine Internal Medicine

Paid

Overview

ForeSee Medical’s Risk Adjustment software, ForeSee ESP®, is an AI-powered platform designed to optimize Hierarchical Condition Category (HCC) coding and improve Risk Adjustment Factor (RAF) scores for healthcare organizations. It leverages proprietary disease algorithms and machine-learned natural language processing (NLP) to analyze patient data, including structured and unstructured clinical notes, lab results, and discharge summaries, to identify documented chronic conditions and suggest appropriate ICD-10 codes. The software aims to enhance coding precision, improve documentation integrity, and reduce audit risk, ultimately leading to better financial performance in value-based care models like Medicare Advantage.

Developed by physicians and coders, ForeSee ESP® is cloud-based and designed for seamless integration with Electronic Health Record (EHR) systems. It offers both prospective decision support at the point of care and retrospective review options, enabling healthcare providers and coders to identify missed or under-documented conditions, validate diagnoses, and ensure compliance with CMS standards. The platform’s InstaVu® feature allows users to click links that trace evidence directly back to the patient chart, including data extracted from PDF notes, for audit readiness.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered risk adjustment
  • Machine-learned natural language processing (NLP)
  • Proprietary disease algorithms
  • HCC coding support
  • Prospective and retrospective review options
  • EHR integration (EHR-agnostic)
  • InstaVuu00ae feature for evidence tracking
  • Real-time clinical decision support
  • RAF score optimization
  • Audit-ready documentation

Use Cases

  • Accurate HCC coding for Medicare Advantage
  • Optimizing RAF scores for value-based care contracts
  • Improving documentation integrity and compliance
  • Automating chart analysis and disease discovery
  • Reducing administrative burden for coders and clinicians
  • Supporting various value-based care models (e.g., MSSP ACOs, ACO REACH)

What Physicians Need to Know

Evidence Base
ForeSee Medical's platform leverages artificial intelligence (AI) and natural language processing (NLP) to analyze structured and unstructured clinical data, including EHR data, claims, clinical notes, lab results, medication histories, and prior encounters. It uses proprietary disease algorithms and a 'Disease Detector' powered by 50,000 rules to identify patient disease burden. The system incorporates risk adjustment rules like hierarchical logic, interactions, and counts into its automated RAF scoring calculations. The NLP engine is built on a machine learning platform and understands over 20,000 complex medical terms and 500 forms of negation with 97% accuracy. The software is designed to comply with CMS risk adjustment guidelines and RADV audits.
Alert Fatigue Management
ForeSee Medical aims to reduce administrative burden and streamline workflows by providing real-time decision support and surfacing relevant insights directly within the EHR. The system presents suspected condition recommendations with their rationale, relevance ratings, and links back to chart evidence, allowing providers to decide applicability. It also provides real-time feedback and suggestions to coders, which can help refine their skills and understanding of complex coding guidelines, potentially reducing the need for extensive manual review.
Drug Interaction Checking
Drug interaction checking is not a highlighted feature of ForeSee Medical's Risk Adjustment solution, which focuses on identifying, validating, and documenting chronic conditions for accurate HCC coding and risk adjustment.
Differential Diagnosis Support
ForeSee Medical's core function is to identify and validate chronic conditions for risk adjustment, rather than providing differential diagnosis support. It focuses on surfacing clinically relevant events from a patient's longitudinal record and linking them to source documentation to ensure accurate HCC coding.
Guideline Update Frequency
The AI-powered software is programmed to stay up-to-date with the latest risk adjustment coding guidelines and rules, including CMS-HCC models like V28. Changes to ICD-10-CM codes and guidelines are essential for accurate data submission, and the system aims to incorporate these updates. CMS also releases annual updates to Medicare Advantage payment and policy, which impact risk adjustment, and ForeSee Medical addresses these changes.
Clinical Workflow Integration
ForeSee Medical integrates directly within provider and health plan workflows and EHR systems to reduce administrative burden. It offers both prospective (point-of-care) and retrospective review options. The platform is EHR-agnostic and aggregates data from various sources to create accurate and evidence-based HCC coding. Recent partnerships, such as with Vim, aim to deliver AI-driven risk insights and patient-specific insights directly within EHR workflows without disrupting existing clinical operations.
Decision Audit Trail
ForeSee Medical provides audit-ready documentation trails. Its InstaVuu00ae feature allows users to click links tracking evidence back to the patient chart, including data extracted from text notes. The system maintains detailed, AI-generated logs of coding decisions and justifications, which helps healthcare providers prepare for potential audits like RADV. This strengthens documentation integrity and supports audit readiness.
Physician Tip

Leverage the real-time decision support to ensure comprehensive and accurate documentation of chronic conditions at the point of care, which is crucial for appropriate risk adjustment and reimbursement. Utilize the InstaVuu00ae feature to quickly access source documentation and validate suggested diagnoses, streamlining your workflow and reducing manual chart review time. Be aware that while the tool provides strong recommendations, you maintain control over the final coding decisions, allowing you to apply your clinical judgment. Stay informed about the latest CMS guidelines and updates, as the software is designed to align with these changes, ensuring compliance and optimizing RAF scores.

ForeSee Medical is designed for seamless integration with major Electronic Health Record (EHR) systems, being EHR-agnostic. It processes patient data in various formats, including FHIR APIs. The platform's AI and NLP capabilities analyze structured data (claims, CCDAs) and unstructured data (clinical notes, lab results, medication histories, discharge summaries, specialist notes) from across a patient's longitudinal record. Recent partnerships, such as with Vim, further enhance its ability to deliver real-time, AI-driven insights directly into clinical workflows.

Details

Category Documentation & Scribing, Medical Billing & RCM, Population Health Analytics
Pricing Paid
DeploymentCloud-based
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Unknown
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

What the Web Says

ForeSee Medical Risk Adjustment software utilizes AI and NLP to enhance HCC coding and RAF score optimization within EHR systems, aiming to improve documentation accuracy at the point of care and in downstream review workflows. It focuses on prospective decision support, risk adjustment factor (RAF) optimization, and evidence-backed coding assistance for Medicare Advantage and other value-based contracts. The platform is designed to help organizations identify clinically supported conditions, improve documentation, and strengthen risk adjustment performance by analyzing structured and unstructured clinical data.

Overall: Positive

Strengths

  • Physician-centric workflows that integrate with existing EMR visits.
  • Clearer multi-source patient condition views and measurable improvements in coding/risk accuracy.
  • Faster chart review and trustworthy disease-card presentation for clinicians.
  • Improved pre-visit preparation and coding accuracy at the point of care for coders.
  • Responsive support that incorporates workflow enhancement feedback.
  • AI-driven disease discovery and real-time clinical evidence with one-click access to supporting evidence (InstaVuu00ae).

Limitations

  • Lack of public revenue, margin, or EBITDA figures, making financial resilience for multi-year contracts unverified.
  • No public status page, SLA percentage, or incident history found, requiring reliability validation in contracting.
  • Procurement total cost of ownership (TCO) is driven by integration depth, NLP customization, and clinical adoption, rather than a simple sticker price.
  • Subscription fees are custom-quoted, leading to commercial opacity until a formal proposal.
  • Mainstream G2/Capterra-style review coverage is effectively absent, limiting open-web satisfaction triangulation.
  • Some clinicians initially still verify AI suspects against full charts, and outcomes depend heavily on EHR integration quality and continuous use.

Based on reviews from: RFP.wiki, ForeSee Medical, Elion Health, South Florida Hospital News, YouTube, Reddit

Last updated: 2026-09-19

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Press & Coverage

ForeSee Medical Blog
Two Years On: The Impact of Information Blocking Rules - ForeSee Medical
This article reflects on the two-year mark since penalties for healthcare information blocking began, analyzing how healthcare entities have adapted to the regulatory landscape and emphasizing the role of ForeSee Medical's risk adjustment software in leveraging FHIR standards for real-time HCC risk analysis within EHRs.
2024-10
ForeSee Medical Blog
Steps for Building a Successful Value-Based Care System - ForeSee Medical
This article discusses the essential steps for building a successful value-based care system, highlighting how ForeSee Medical's AI-driven risk adjustment software optimizes HCC coding and RAF scores, reduces errors, and supports coordinated care through FHIR standards.
2024-11
ForeSee Medical Blog
How Large Language Models Are Used in Healthcare - ForeSee Medical
This article explores the applications and limitations of Large Language Models (LLMs) in healthcare, emphasizing that while LLMs have benefits, ForeSee Medical's purpose-built AI risk adjustment software goes beyond general LLMs for accurate and compliant HCC suspecting.
2025-09
ForeSee Medical Blog
How the RA Model Will Work Moving Forward - ForeSee Medical
This article details the finalized 2024 Medicare Advantage capitation rates and payment policies from CMS, explaining how ForeSee Medical's risk adjustment software supports prospective workflows and integrates with EHRs to help providers adapt to the changing risk adjustment model.
2023-05
ForeSee Medical Blog
Benefits of a Prospective Payment System | ForeSee Medical
This article discusses the benefits of a prospective payment system in healthcare, with ForeSee Medical's risk adjustment software supporting prospective workflows for Medicare Advantage to ensure accurate HCC coding and appropriate reimbursements.
2023-10
ForeSee Medical Website
ForeSee Medical: AI-Powered Risk Adjustment Software
ForeSee Medical's AI-powered risk adjustment software is designed to integrate with leading value-based care models, helping organizations prepare for audits, improve documentation, and optimize RAF scores by surfacing accurately supported conditions from EHRs.
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ForeSee Medical Website
HCC Risk Adjustment Coding Software for Healthcare - ForeSee Medical
This page describes ForeSee Medical's HCC risk adjustment coding software, highlighting its AI-driven disease discovery engine that identifies new, clinically relevant conditions to improve RAF scores and optimize reimbursement in value-based care.
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Videos

Product demos, reviews, and walkthroughs for ForeSee Medical Risk Adjustment.

View all on YouTube

Frequently Asked Questions

ForeSee Medical's platform is designed to integrate seamlessly with most EMR systems, often through secure APIs, to minimize disruption to your existing clinical workflow. It aims to provide real-time or near real-time insights at the point of care, surfacing relevant risk adjustment documentation opportunities directly within your patient charts.
The platform offers AI-powered suggestions for potential HCCs based on patient history, diagnoses, and clinical notes, flagging conditions that may be under-documented or require further specificity. It also provides alerts for missing documentation elements crucial for accurate risk adjustment and can highlight opportunities for more precise coding based on clinical evidence.
ForeSee Medical incorporates up-to-date CMS and other regulatory guidelines into its algorithms, helping to ensure that your documentation aligns with current requirements. By identifying potential coding gaps and providing evidence-based suggestions, it aims to improve the accuracy and completeness of your documentation, thereby reducing the risk of audits and denials.
Yes, there are other risk adjustment solutions available, ranging from manual chart review services to other AI-driven platforms. ForeSee Medical differentiates itself through its advanced AI and NLP capabilities, its focus on physician workflow integration, and its ability to provide prospective and retrospective insights to optimize risk adjustment accuracy and compliance.
Pricing models can vary, often based on factors such as the size of your practice, the number of providers, and the specific modules or features utilized. Typically, it includes access to the platform, EMR integration, ongoing updates to coding guidelines, and customer support. Specifics would be detailed in a personalized proposal.
While highly effective, the platform's suggestions are based on available data and algorithms, and ultimately, clinical judgment remains paramount. It's a decision support tool, not a replacement for your expertise. Limitations could include the need for initial training, potential for 'alert fatigue' if not properly configured, and reliance on the quality of data within your EMR.
ForeSee Medical is built with robust data security measures and is designed to be fully HIPAA compliant. This includes data encryption, secure data transmission protocols, access controls, and regular security audits to protect sensitive patient information. They typically have detailed policies and procedures outlining their commitment to privacy and security.

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Suggest an Edit → | Report an issue | Last Verified: 2026-06-19 | First Added: 2026-06-19
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