Veterinary IT company IntoCNS said on Feb. 23 it unveiled IntoVet Cloud, a cloud-based electronic medical record (EMR) system. It said the product draws on more than 20 years of hospital operations experience and on-premise EMR know-how used by more than 2,000 animal hospitals, compiling accumulated on-site data.

IntoVetGE is an on-premise EMR installed on in-hospital servers and is optimised for domestic hospital environments that emphasise security and stability. IntoVet Cloud is a SaaS EMR redesigned for cloud environments based on this verified EMR structure.

The company said IntoVet Cloud is designed as an integrated EMR that connects the entire hospital operating process in a single framework, including treatment, testing, administration, collaborative care and follow-up management.

It said the system is based on long-term experience accumulated in actual hospital operations and designed to reflect years of on-site feedback. It was built to broadly accommodate diverse care patterns and hospital sizes.

From solo practices and mid-sized hospitals to university hospitals, all can select and use functions to fit their workflows and respond to changes in operating scale, the company said.

IntoVet Cloud also includes AI functions. It supports generative AI (LLM)-based clinical history summaries, analysis of test values, automated generation of owner guidance documents and follow-up management reports, and includes voice recognition-based charting.

An IntoCNS official said IntoVet Cloud is an EMR newly restructured based on clinical data and hospital operating experience accumulated over a long period in the field. The official said it was designed to provide an environment that any size hospital can trust by systematically reflecting functions and feedback needed by hospitals. The official added that IntoCNS has tried not to lose sight of its original intention of growing by thinking together with medical staff, and that this cloud EMR was also made on that philosophy. The official said the company will continue to strengthen AI and data-based functions and support systems to provide an environment where medical staff can focus fully on care.