AI-Powered EHR Analysis Set to Revolutionize Life Insurance Underwriting

November 11, 2025 LexisNexis Risk Solutions today announced the launch of ‘Medical Insights,’ a new capability within its Health Intelligence platform designed to dramatically accelerate and improve the accuracy of life insurance underwriting. By leveraging artificial intelligence (AI) and machine learning, the platform aims to unlock the full potential of electronic health records (EHRs), a notoriously complex and time-consuming component of the application process.

For years, the life insurance industry has grappled with the inefficiencies inherent in manual EHR review. The process, often taking weeks, involves sifting through voluminous medical data, extracting key information, and assessing risk – a labor-intensive task prone to errors and delays. ‘Medical Insights’ promises to alleviate these pain points by automating the extraction, normalization, and analysis of EHR data, enabling insurers to make faster, more informed decisions.

“The biggest challenge for life insurers is balancing the need for thorough risk assessment with the increasing consumer demand for speed and convenience,” explained a senior analyst specializing in insurance technology. “Manual processes simply can’t keep up. AI-powered solutions like ‘Medical Insights’ are essential for meeting those demands and maintaining a competitive edge.”

Unlocking the Power of EHRs

Traditionally, obtaining and reviewing EHRs has been a significant bottleneck in the underwriting process. Insurers often face delays in receiving records, followed by hours of manual effort to extract relevant information. The resulting delays can lead to frustrated applicants and lost business. ‘Medical Insights’ addresses these challenges by automating key aspects of the process.

“The platform uses advanced AI algorithms to automatically identify and extract critical information from EHRs, including medical history, diagnoses, medications, and lab results,” explained Justin Baker, Associate Vice President of Life Underwriting Solutions at LexisNexis Risk Solutions, in the official press release. “This data is then normalized and structured, making it easy for underwriters to access and analyze.”

This automation not only accelerates the underwriting process but also improves accuracy by reducing the risk of human error. By providing underwriters with a clear and concise summary of the applicant’s medical history, ‘Medical Insights’ allows them to focus on more complex risk assessments and make more informed decisions.

A Competitive Landscape

LexisNexis Risk Solutions isn’t the only player in the emerging market for AI-powered underwriting solutions. Several companies, including Human API, Sapiens, Munich Re (in partnership with Clareto), and Swiss Re, are offering similar platforms. Each company brings a unique approach to the problem, but they all share a common goal: to transform the underwriting process with the power of AI.

“Competition is fierce, and the landscape is rapidly evolving,” said an insurance technology consultant. “The key differentiators will be the accuracy of the AI algorithms, the depth of the data integration, and the ease of implementation.”

Human API, for example, has established partnerships with major insurers like Nationwide, Prudential, and Guardian, and focuses on aggregating health data from numerous sources. Sapiens offers an automated underwriting platform with AI-powered features. Munich Re and Swiss Re provide solutions that leverage AI to extract and summarize EHR data, as well as to improve the efficiency of the underwriting process.

Addressing Data Privacy and Security

Given the sensitive nature of health information, data privacy and security are paramount concerns. LexisNexis Risk Solutions is emphasizing its commitment to protecting applicant data.

“‘Medical Insights’ is designed for transparent, auditable data for regulatory compliance and applicant disclosure,” Baker stated. The company highlights its adherence to relevant regulations, including the Fair Credit Reporting Act (FCRA), and its robust security measures.

“Insurers are under increasing pressure to comply with data privacy regulations,” noted a compliance expert. “They need to ensure that they are handling applicant data securely and responsibly. Solutions that prioritize data privacy and security are essential.”

The Future of Underwriting

The launch of ‘Medical Insights’ signals a broader shift in the life insurance industry. As AI technology continues to advance, underwriting processes are expected to become increasingly automated and data-driven.

“We’re moving towards a future where underwriting decisions are made in real-time, based on a comprehensive analysis of applicant data,” said a senior analyst. “AI-powered solutions will play a critical role in enabling this future.”

While the technology holds immense promise, challenges remain. Insurers need to carefully evaluate the accuracy and reliability of AI algorithms, and they need to ensure that their underwriting processes remain fair and transparent. However, the potential benefits are significant: faster approvals, reduced costs, and improved customer satisfaction.

The company anticipates that 'Medical Insights' will deliver measurable results within 12 months of rollout, with improved cycle times and increased retention in accelerated underwriting programs. Initial deployments and integrations are expected to focus on streamlining existing underwriting pipelines, with further expansion planned based on initial performance and customer feedback. The success of the platform will depend on its ability to deliver tangible value to insurers and improve the overall underwriting experience for applicants.