DigitalOwl Blog

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

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.

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Artificial Intelligence

Will AI Make Claims Analysts Obsolete?

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.

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Artificial Intelligence

Can Claims Examiners Trust the Information Presented by AI?

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.

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Artificial Intelligence

What’s next for AI in life underwriting?

How can you be confident in AI accuracy when handling vast quantities of data? In this insightful article, DigitalOwl’s CEO, Yuval Man, delves into the critical role of the context window in addressing this challenge. He also explores other essential topics such as AI accuracy and usability, providing a comprehensive understanding of how advanced AI technologies can enhance the underwriting process.

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Artificial Intelligence

The Rising Role of AI in Insurance

For decades, insurers have grappled with a myriad of challenges, including inefficient processes, pervasive fraud, time-consuming procedures, poor resource allocation, and the constant struggle to adapt to evolving customer demands and expectations regarding service. This article will highlight some of the main pain points in the insurance industry and how AI is helping to address them.

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Artificial Intelligence

The Impact of AI on Workers’ Compensation Claims

The adoption of AI is transforming the workers’ compensation landscape, offering promising solutions to reduce costs, decrease claims litigation, address employee burnout, combat fraud, and navigate complex claims. Read this this blog to learn more.

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Artificial Intelligence

The Advantage of Leveraging AI for Improved Life Claim Processing

Efficiently settling life claims is critical to an insurer's success. However, the life claim review process is often overwhelmed by vast volumes of data, delaying the payment of legitimate claims. Discover how DigitalOwl's AI solutions can help.

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Artificial Intelligence

Why Can’t I Just Use ChatGPT? Understanding the Limitations of Generalized AI Solutions

What are the best AI tools for business? Does ChatGPT work for medical record reviews? Discover some of the key differences between ChatGPT and specialized AI products, including vital considerations such as transparency, security and ethics.

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Data Security and Privacy

What Is Black Box AI?

When discussing the trustworthiness of AI, a common term that arises is “black box.” Black box systems can cause problems, and it’s important to understand why.

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

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

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DigitalOwl Blog

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

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

Will AI Make Claims Analysts Obsolete?

Can Claims Examiners Trust the Information Presented by AI?

What’s next for AI in life underwriting?

The Rising Role of AI in Insurance

The Impact of AI on Workers’ Compensation Claims

The Advantage of Leveraging AI for Improved Life Claim Processing

Why Can’t I Just Use ChatGPT? Understanding the Limitations of Generalized AI Solutions

What Is Black Box AI?

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