Resource Library

The future of workers' compensation faces significant challenges—rising medical costs, a shifting regulatory environment, and a looming talent shortage in claims handling. Read this article to discover how AI is being used to address these issues.

How Technology is Transforming Workers' Compensation: From Rising Costs to AI-Powered Claims Management

While AI-powered summaries provide considerable value and time efficiency over manual medical record reviews, Case Notes takes these advantages further, moving beyond summarization to uncover the story within the data and provide critical insights in a concise, actionable format that drives better decision-making. Read this article to discover more.

How Case Notes Moves Beyond Summarization with Actionable Insights

The growing complexity of medical data analysis places a heavy administrative burden on claims professionals, often leading to overlooked crucial information. The loss of experienced professionals and the rise of litigation pressures further highlight the need for AI to streamline claims workflows and address these gaps efficiently.

Bridging the gap to faster, more accurate workers’ compensation outcomes

At what point does AI render human medical reviewers obsolete? This provocative question was raised during our recent webinar on the future of GenAI in claims, sparking an engaging discussion among our panelists. Find out what they had to stay on the topic here.

Will AI Make Claims Analysts Obsolete?

How can claims analysts trust AI outputs without constantly verifying results? This question sparked a lively discussion during our recent GenAI in Claims webinar, where our panelists delved into the challenges of dealing with noise in medical record reviews and setting realistic expectations for the use of AI.

Can Claims Examiners Trust the Information Presented by AI?

Recently, AI and GenAI technologies have gained recognition for their potential to transform the medical record review process, but concerns about reliability and precision persist. This whitepaper aims to address common questions regarding the dependability of AI in medical record reviews.

Evaluating AI’s Reliability in Medical Record Analysis

Data Security and Privacy

This comprehensive toolkit is designed to assist AI experts and governance committees in thoroughly evaluating DigitalOwl’s AI governance practices.

AI Governance Toolkit

DigitalOwl's cutting-edge AI technology can save time and increase accuracy in underwriting and claims management. Download the Executive Brief to learn more.

Harnessing AI for Faster and More Accurate Underwriting and Claims Management

This whitepaper discusses the benefits and concerns surrounding AI in the insurance industry and delves into the specifics of evolving AI regulations. Download the white paper today to learn more!

Navigating Evolving AI Regulation in the Insurance Industry

This whitepaper explores the benefits of using natural language processing for medical record summarization. Download the white paper to learn more.

The Complexities Behind Life Insurance Underwriting

Reclaim Your Time: Next-Gen Medical Record Reviews with AI

Wed

Nov 2024

Webinars

Reclaim Your Time: Next-Gen Medical Record Reviews with AI

On-Demand

Upcoming

Are you ready to reclaim your time? Discover how DigitalOwl’s new add-on feature, Case Notes, can transform medical record reviews by only surfacing the most relevant information.

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Webinars

The Challenges of Underwriting: How AI-Powered Medical Record Summarization Can Help

On-Demand

Upcoming

Want to learn how AI can improve resource allocation, result in more effective mortality models, and much more? Join our on-demand webinar to discover how AI-powered medical record summarization helps speed up the underwriting process from start-to-finish.

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Webinars

The Future of Medical Record Summarization with Generative Text Models

On-Demand

Upcoming

Want to discover the future of medical record summarization with generative text models? Join our on-demand webinar to hear from DigitalOwl's co-founders, Yuval and Amit Man, on the potential generative text models can bring to medical record reviews.

Watch On-Demand

Legal & General reduces post-issue audit effort up to 60% with DigitalOwl

Case Studies

Legal & General reduces post-issue audit effort up to 60% with DigitalOwl

Zach Pugh, Chief Underwriter and Vice President of Underwriting Transformation at Legal & General America, needed a solution that would help his underwriting team streamline the medical review process, enhancing efficiency and ensuring accuracy. Find out how DigitalOwl provided the solution he was looking for with this case study.

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How Baltimore Life Enhanced Its Underwriting and Claims Processes with AI

Case Studies

How Baltimore Life Enhanced Its Underwriting and Claims Processes with AI

Baltimore Life Insurance Company, a long-standing provider of insurance solutions, faced significant challenges in its underwriting and claims processes, stemming from the complexity of Attending Physician Statements (APS) and inefficiencies during manual medical reviews. Using DigitalOwl's cutting-edge AI solutions, Baltimore Life was able to revolutionize their underwriting processes, enabling them to dramatically reduce the time it takes to come to a decision.

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How Catholic Order of Foresters Life Insurance Increased Underwriting Efficiency Using DigitalOwl

Case Studies