Save Time and Code Smarter with AI

In today’s value-based care environment, healthcare organizations face increasing pressure to review large volumes of medical charts quickly and accurately. For teams responsible for risk adjustment, HCC coding, and compliance, chart review has traditionally been a slow and labor-intensive process. Coders and clinicians often spend hours searching through lengthy patient records to identify relevant diagnoses, supporting documentation, and evidence for accurate coding.

ForeSee Medical changes that process dramatically by using artificial intelligence in healthcare to automate and streamline chart review—helping organizations save time, improve productivity, and capture a more complete clinical picture of their patients.

The Challenge of Manual Chart Review

Medical records are complex and fragmented. A single patient chart may contain hundreds of pages of information across multiple sources including:

• Progress notes

• Lab results

• Specialist reports

• Imaging studies

• Hospital discharge summaries

• Historical diagnoses

Manually reviewing all of this information can be extremely time-consuming. Coders must read through each section, interpret clinical language, and determine whether a condition meets documentation requirements for risk adjustment.

This manual process often leads to several challenges:

• Time-consuming workflows that slow down coding teams

• Chart fatigue from reviewing large volumes of records

• Missed conditions hidden deep within the record

• Inconsistent coding outcomes

As Medicare Advantage enrollment grows and CMS models evolve, these inefficiencies become even more costly.

AI That Reads the Entire Medical Record

ForeSee Medical addresses this challenge with AI-powered chart review technology that reads and analyzes the full patient record in seconds. Using advanced natural language processing (NLP), the platform scans structured and unstructured clinical data across the entire chart—including physician notes, historical encounters, and external documents. Instead of forcing coders to search through the record manually, ForeSee surfaces the most relevant clinical evidence automatically. The system identifies potential diagnoses and highlights supporting documentation so reviewers can quickly verify conditions without spending hours digging through records.

Turning Hours of Chart Review Into Minutes

By automating the discovery of relevant clinical information, ForeSee dramatically accelerates chart review workflows. Coders and clinicians can quickly see:

• Suspected conditions based on clinical evidence

• Supporting documentation for each diagnosis

• Historical conditions that may require recapture

• Relevant excerpts from the medical record

This allows reviewers to focus on verification and accuracy, rather than time-consuming chart navigation. Many organizations find that AI-assisted workflows reduce chart review time by a significant margin while allowing teams to review more charts per day.

Improving Accuracy While Saving Time

Speed alone isn’t enough in risk adjustment coding. Accuracy and compliance are critical. ForeSee’s AI InstaView® feature highlights the clinical evidence behind each suggested condition, allowing coders to easily validate documentation and ensure coding integrity. By presenting the underlying rationale directly within the workflow, the platform supports confident decision-making and reduces the risk of overlooked conditions. The result is a chart review process that is both faster and more reliable.

Enabling Teams to Work Smarter

Rather than replacing coders, ForeSee acts as a powerful productivity multiplier. AI handles the heavy lifting of scanning and organizing the medical record, while human experts apply their clinical knowledge to confirm accurate coding. This collaborative approach allows healthcare organizations to:

• Increase chart review productivity

• Reduce manual workload and coder fatigue

• Capture a more complete patient health profile

• Support compliant risk adjustment coding

Save Time. Review Charts Faster with AI.

As healthcare data continues to grow in volume and complexity, manual chart review simply cannot keep pace. AI-powered risk adjustment software like ForeSee Medical provide a smarter way to manage the workload. By transforming hours of chart review into a streamlined, AI-assisted workflow, ForeSee helps healthcare organizations save time, improve coding accuracy, and ensure patients’ health conditions are fully represented—supporting better outcomes for providers, payers, and patients alike.

Blog by: The ForeSee Medical Team