By: John Peters, PhD, Co-founder & Chief Science Officer, and Tycho Speekenbrink, Head of AI, Gain Life
On her third cup of coffee and nearing the end of a long day, Lisa, a workers’ compensation adjuster, scans the growing pile of paperwork on her desk. Incident reports, medical evaluations, and claim forms – each one demanding her attention. Her phone buzzes with a call from a frustrated claimant who slipped and fell at work, wondering about the status of their reimbursement. As Lisa shuffles through the chaos, she can’t help but think: There has to be a better way.
The workers’ compensation industry faces an administrative burden. Claim adjusters spend countless hours buried in menial tasks instead of focusing on their critical goal – helping people heal and return to work. Much of this burden results from vast amounts of paperwork flowing through the system: medical records, incident reports, claim forms, and many other physical documents that must be processed, reviewed, and managed.
Eliminating paper trails through end-to-end digitization would solve many of these challenges. However, the complex network between healthcare providers, employers, and insurance carriers makes such a transformation unrealistic in the near term. Still, while we cannot control industry-wide digitization, we can transform how we handle and process documents within our own operations.
Intelligent document processing offers an immediate solution for improving operations. At its core, this effort uses Optical Character Recognition (OCR) to convert documents into searchable text. This OCR technology has evolved over the last couple of years and can now handle a wide range of documents, including the recognition of blurry scans, handwritten notes, and faded faxes.
Once digitized, Natural Language Processing (NLP) tools analyze the text to identify key information, understand document context, and extract important data points. This technique can recognize various document types, from medical reports to claim forms, and understand how different pieces of information relate.
With recent advances in Artificial Intelligence (AI), we are also able to deploy AI agents – autonomous software programs that can understand and act on information like a human worker would. These AI agents can process structured information, following business rules and workflows to automate routine tasks in the claims process.
This combination of technologies creates a powerful system that can handle the complexity of workers’ compensation documentation while maintaining accuracy and consistency.
Let’s consider Lisa’s claim from earlier: An employee slips and falls at work, injuring their back. The claims process begins when the employer files a First Report of Injury (FROI). The employer must then provide incident reports, witness statements, and wage information. Meanwhile, medical providers submit their evaluations, work status forms, and treatment authorization requests. The injured worker needs to complete their part by submitting a formal claim form, signing medical release forms, and tracking mileage for medical appointments.
In the traditional system, these documents might sit in various inboxes for days before an adjuster can properly review and process them. With intelligent document processing, the provided information is handled automatically as it arrives. For employers, medical providers, and injured workers, the system provides immediate feedback on their submissions. It assesses document quality and completeness in near real-time, alerting them if any documentation is insufficient or missing. This immediate feedback helps ensure all necessary information is submitted correctly the first time, reducing delays and back-and-forth communication.
Once validated, documents move through an intelligent workflow. The system automatically determines document relevance and eliminates duplicates, creating a comprehensive summary of the injury and subsequent medical treatments. Critical details are then directly extracted and stored in the claim system, including initial injury reports, prescription changes, and return-to-work dates.
By comparing this data with existing case information, the system identifies potential red flags or inconsistencies. If additional information is needed, AI agents can automatically initiate these requests. This streamlined processing enables adjusters to quickly contact injured workers, initiate appropriate care, and proactively manage claims. This automation transforms claims management from a document-heavy process into an efficient, data-driven workflow focused on timely decision-making and proactive care coordination.
While intelligent document processing technology continues to mature, success ultimately depends on how organizations implement and embrace these new capabilities. If properly executed, intelligent document processing frees adjusters from administrative burdens, allowing them to focus on their core mission: helping injured workers recover and return to work.
About Tycho Speekenbrink
Tycho is an accomplished insurance professional with a decade of experience spanning Europe, Asia, and America in a variety of different leadership roles. His career has encompassed roles at both insurance carriers and solution providers. A licensed actuary, Tycho is also a self-proclaimed AI specialist who currently serves as Head of AI at Gain Life.
About John C. Peters, PhD
John is Co-founder & Chief Science Officer of Gain Life. Previously, John served as Professor at the University of Colorado School of Medicine, and spent 26 years at the Procter & Gamble Company in various R&D leadership roles. He has served on two National Academies of Science, Institute of Medicine committees, and has authored over 150 scientific papers and book chapters and published two books.
About Gain Life
Gain Life helps individuals and organizations return to health, work, productivity, and financial well-being. They do this by combining behavioral science with AI to proactively guide individuals through the claim process and ultimately improve outcomes and efficiency. Gain Life’s claims experience platform was born out of Harvard University’s Innovation Lab and is utilized by carriers, TPAs, employers, and more across workers’ compensation, general liability, auto, disability, and property. For more information, visit www.gainlife.com and follow the company on LinkedIn.