Medisolv Acquires Health Elements AI to Expand Clinical Data Capabilities

April 30, 2026
Medisolv has acquired Health Elements AI to improve how healthcare organizations capture and use clinical data for quality reporting and registries. The acquisition aims to reduce manual chart review workloads and broaden Medisolv's analytics capabilities.

Medisolv has acquired Health Elements AI, a company that develops technology to capture and structure clinical data from medical records, announced in a press release. The acquisition is intended to reduce the need for manual chart review, improve access to clinical data, and extend Medisolv’s reach into clinical registries and proactive quality programs.

The integration of Health Elements AI will enhance Medisolv’s support for over 1,800 healthcare organizations and 4,000 chart abstracters who collectively reviewed nearly 3 million cases last year. The technology will help these teams process data more efficiently while maintaining accuracy across reporting and performance improvement workflows.

Medisolv stated that the addition of Health Elements AI strengthens its ability to deliver complete and reliable data for reporting, analytics, and regulatory submissions. The move also expands the company’s work beyond traditional CMS and accreditation programs to include registries from organizations such as the American College of Cardiology and the American Heart Association.

This acquisition follows Medisolv’s earlier purchase of Lilac Software as part of its strategy to modernize how healthcare organizations capture and exchange clinical data across quality workflows.

We hope you enjoyed this article.

Subscribe to AI Funding Brief

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more