ForeSee Medical, Inc. Market Research Report

Background

Company Overview

ForeSee Medical, Inc., established in 2017 and headquartered in San Diego, California, specializes in AI-powered risk adjustment software solutions for the healthcare sector. The company focuses on enhancing Hierarchical Condition Category (HCC) coding accuracy, optimizing Risk Adjustment Factor (RAF) scores, and ensuring compliance with Centers for Medicare & Medicaid Services (CMS) regulations. By integrating artificial intelligence, natural language processing, and machine learning, ForeSee Medical aims to streamline chart reviews, improve coder and clinician productivity, and support value-based care models.

Mission and Vision

ForeSee Medical's mission is to empower healthcare organizations to achieve accurate HCC coding, optimize RAF scores, and ensure compliance with CMS regulations, all while reducing administrative burden and improving patient care. The company's vision is to transform the delivery of care by providing innovative, AI-driven solutions that enhance the efficiency and effectiveness of healthcare providers.

Industry Significance

In the evolving landscape of value-based care, accurate risk adjustment is crucial for healthcare organizations to receive appropriate reimbursements and deliver quality care. ForeSee Medical's solutions address the challenges associated with manual chart reviews and coding inaccuracies, thereby playing a significant role in improving healthcare outcomes and operational efficiency.

Key Strategic Focus

Core Objectives

• Enhance Coding Accuracy: Utilize AI and NLP to improve the precision of HCC coding, leading to accurate RAF scores.

• Streamline Chart Reviews: Automate chart analysis to reduce the time and effort required for manual reviews.

• Ensure Compliance: Maintain adherence to CMS regulations and prepare organizations for audits.

Areas of Specialization

• Risk Adjustment Software: Develop tools that integrate with Electronic Health Records (EHRs) to identify and document chronic conditions in real time.

• HCC Coding for Medicare Advantage: Focus on optimizing coding processes specific to Medicare Advantage plans.

• Natural Language Processing (NLP) and Machine Learning: Employ advanced AI techniques to analyze unstructured clinical data and extract relevant information.

Key Technologies Utilized

• Artificial Intelligence (AI): Implement AI algorithms to analyze clinical data and identify conditions that may be underreported.

• Natural Language Processing (NLP): Use NLP to interpret and process free-text notes within EHRs.

• Machine Learning: Apply machine learning models to predict and suggest accurate coding based on historical data.

Primary Markets Targeted

• Healthcare Providers: Hospitals, clinics, and physician practices seeking to improve coding accuracy and operational efficiency.

• Health Plans: Organizations managing Medicare Advantage plans aiming to optimize RAF scores and ensure compliance.

• Accountable Care Organizations (ACOs): Groups of healthcare providers collaborating to deliver coordinated care and improve patient outcomes.

Financials and Funding

Funding History

ForeSee Medical has completed eight funding rounds, raising a total of $45.64 million. The most recent funding round was a Series Unknown round on April 14, 2025, raising $3.1 million.

Notable Investors

Specific details about individual investors are not publicly disclosed.

Utilization of Capital

The raised capital is intended to support product development, enhance technological capabilities, expand market reach, and strengthen customer support services.

Pipeline Development

Key Pipeline Candidates

ForeSee Medical's primary focus is on the continuous enhancement of its AI-powered risk adjustment platform. The company is developing features to improve coding accuracy, integrate seamlessly with various EHR systems, and support real-time clinical decision-making.

Stages of Development

• Product Development: Ongoing refinement of AI algorithms and NLP capabilities.

• Clinical Trials: Not applicable, as the product is software-based and not subject to traditional clinical trials.

Target Conditions

The platform aims to identify and document a wide range of chronic conditions relevant to risk adjustment, including but not limited to diabetes, hypertension, and cardiovascular diseases.

Anticipated Milestones

• Integration with Additional EHR Systems: Expand compatibility with various EHR platforms to increase market adoption.

• Feature Enhancements: Introduce advanced analytics and reporting tools to provide deeper insights into coding accuracy and compliance.

Technological Platform and Innovation

Proprietary Technologies

• InstaVu®: A feature that allows users to instantly view disease source documentation, enhancing the speed and accuracy of chart reviews.

Significant Scientific Methods

• Natural Language Processing (NLP): Enables the extraction of relevant information from unstructured clinical notes.

• Machine Learning Algorithms: Facilitate predictive analytics for accurate coding suggestions.

AI-Driven Capabilities

• Real-Time Data Processing: Analyze clinical data as it is entered into the EHR, providing immediate feedback to clinicians.

• Automated Coding Suggestions: Offer real-time coding recommendations based on clinical documentation.

Leadership Team

Key Executives

• Dr. Sol Lizerbram: Chief Executive Officer and Co-Founder. With over 35 years of healthcare experience, Dr. Lizerbram has held leadership roles at HealthFusion Inc. and served as Health Advisor to California Governor Edmund G. Brown Jr.

• Dr. Seth Flam: Chief Strategy Officer and Co-Founder. A board-certified family physician and healthcare software innovator, Dr. Flam led the development of the MediTouch product suite at HealthFusion Inc.

• Jonathan Flam: Chief Financial Officer and Co-Founder. With over 25 years of experience in healthcare finance and operations, Jonathan Flam oversees the company’s financial strategy and growth initiatives.