Risk Adjustment Software for Providers & Coding Teams
Healthcare providers and coding teams face growing challenges managing complex patient records, identifying chronic conditions, and maintaining accurate HCC documentation. With clinical information scattered across EHRs, specialist reports, hospital records, and PDFs, reviewing patient histories can be time-consuming and inefficient. ForeSee Medical's ESP® platform uses artificial intelligence (AI), Natural Language Processing (NLP), and machine learning to automatically analyze medical records, identify potential HCC conditions, and deliver actionable clinical insights.
Whether you're a physician preparing for a patient encounter or a coder reviewing documentation, ForeSee helps you work faster, improve accuracy, and focus on what matters most.
For Providers: Get the Clinical Insights You Need, When You Need Them
Physicians face information overload. Reviewing years of medical records to understand a patient's disease burden can take valuable time away from patient care. ForeSee ESP® simplifies this process by automatically analyzing structured and unstructured clinical data, including progress notes, hospital discharge summaries, specialist reports, and other medical documents. Instead of searching through lengthy patient charts, you receive AI-generated insights directly within your clinical workflow.
With ForeSee, you can:
Reduce Chart Review Time: Quickly identify relevant clinical information without manually reviewing extensive medical histories.
Identify Missed Chronic Conditions: Discover potential HCC diagnoses that may not appear on the patient's problem list.
Improve Point-of-Care Documentation: Receive actionable disease suspecting insights during patient encounters.
Simplify ICD-10 Coding: Access suggested diagnosis codes based on available clinical evidence.
Improve Annual Recapture: Identify previously documented chronic conditions requiring current-year evaluation.
By presenting relevant clinical information at the point of care, ForeSee helps you make more informed decisions while reducing administrative work.
For Coding Teams: Capture Complete and Accurate HCC Diagnoses
Accurate HCC coding requires careful review of clinical documentation, diagnosis history, and CMS coding requirements. Manually searching medical records for supporting evidence can significantly slow productivity. ForeSee ESP® automates much of this work, helping your coding team identify potential HCC opportunities and verify documentation more efficiently.
ForeSee supports your coding team with:
AI-Powered Disease Suspecting: Identify potentially overlooked HCC conditions from structured and unstructured medical records.
Faster Coding Reviews: Reduce time spent searching through lengthy clinical documents.
CMS-HCC V28 Optimization: Support accurate coding under the current risk adjustment model.
Smart Recapture: Identify previously documented conditions requiring current-year review.
Documentation Validation: Verify clinical evidence before recommending or finalizing diagnoses.
ForeSee has demonstrated chart review productivity improvements of up to 20x, helping coding teams review more records with fewer manual steps.
Support Prospective and Retrospective Coding Workflows
Every healthcare organization has different coding processes. Whether your team performs reviews before patient visits, after encounters, or through a combination of both, ForeSee adapts to your workflow.
Prospective Coding: Review patient histories and suspected HCC conditions before appointments. Share actionable recommendations with providers to support accurate documentation during the encounter.
Retrospective Coding: Use worklists, reporting, and AI-powered chart analysis to review completed encounters, identify potential missed diagnoses, and validate supporting documentation.
Hybrid Workflows: Combine prospective and retrospective reviews to improve coding completeness, provider collaboration, and operational efficiency.
ForeSee helps your organization maintain consistent coding practices while reducing administrative burden.
Verify Supporting Documentation Instantly With InstaVu®
Finding the clinical evidence supporting an HCC diagnosis can be one of the most time-consuming parts of chart review. ForeSee's proprietary InstaVu® technology provides one-click access to the original medical record supporting an identified condition. Instead of searching through multiple PDFs and clinical notes, you can navigate directly to the relevant page, with supporting information highlighted. InstaVu® helps providers and coding teams quickly verify diagnoses, improve documentation accuracy, and reduce time spent locating clinical evidence.
Strengthen Coding Compliance and Documentation Integrity
Accurate risk adjustment requires more than identifying additional diagnoses. Every reported HCC must be supported by appropriate clinical documentation. ForeSee's AI-powered Compliance Module helps identify documentation gaps, flag potentially unsupported diagnoses, and provide guidance for improving documentation quality. By combining AI-powered disease suspecting with compliance verification, ForeSee helps you identify missed coding opportunities while reducing the risk of inaccurate or unsupported submissions.
Spend Less Time Reviewing Charts. More Time Delivering Value.
Whether you're a provider managing complex patients or a coding professional responsible for HCC accuracy, ForeSee helps simplify your workflow. With ForeSee Medical, you can reduce manual chart reviews, improve diagnosis identification, strengthen documentation compliance, and increase coding productivity—all within one AI-powered platform.
