Yisheng Intelligence's Comprehensive Medical Record Quality Control Solution Named Among 'Top 100 Most Innovative Medical Technology Products of 2022'

Recently, the 2022 World Summit on Medical Technology, co-hosted by VB100, VCBeat, and Eggshell Research Institute, was held in Suzhou. At this summit,Yisheng Intelligence’s “Intelligent Comprehensive Medical Record Quality Control Solution” has been listed among the Top 100 Most Innovative Healthcare Technology Products of 2022 by the VB-Find Awards.

This award is an annual brand selection event newly launched by VCBeat VB100 in 2022, targeting innovative products and solutions in the healthcare industry, with the aim ofIdentifying Medical Technology Innovation Products/Solutions with Technological Advancement, Meeting Clinical Needs, and Demonstrating Outstanding Industry Leadership, to create a platform for showcasing cutting-edge research and application achievements in medical technology, while conducting an in-depth analysis of the current development status of China's medical technology industry and exploring future innovation paradigms.

Previously, VCBeat VB100 and Eggshell Research Institute solicited medical technology products (solutions) from three major technology clusters: biotechnology, intelligent manufacturing and new materials technology, and digital and information technology. A jury composed of industry association experts, senior investors, researchers from Eggshell Research Institute, and medical industry media professionals was specially invited. Using the AFIC-12Ps evaluation model, the jury conducted weighted scoring based on 12 indicators across four dimensions—application value, driving support, innovation iteration, and interactive communication—to assess the annual performance of the participating medical technology products/solutions, thereby selecting the most innovative medical technology products/solutions.

Yisheng Intelligence’s “Intelligent Comprehensive Medical Record Quality Control Solution” leverages cutting-edge reinforcement learning technologies to develop a proprietary AI Agent engine and a specialized medical natural language processing (NLP) engine. This solution enables rapid learning and comprehension of comprehensive medical record data, including admission notes, discharge/death summaries, medical record face sheets, and perioperative records. By performing cross-validation across diverse data types, it identifies and interprets the diagnostic and treatment logic as well as the underlying medical implications within the entire medical record, thereby detecting quality issues in both documentation and clinical care processes.This solution not only intelligently analyzes defects in medical records but also integrates with hospital business systems and workflows, covering the entire spectrum of clinical care and medical record management. It enables bidirectional validation across inpatient, outpatient, and emergency medical records—from active and quasi-finalized records to finalized archives—thereby providing accurate and reliable foundational data support for various management systems, including health insurance settlement oversight, hospital operations, and medical affairs administration.

Yisheng Intelligence, established in April 2017, is an artificial intelligence company dedicated to driving the refined development and transformation of hospitals through medical quality control. As a pioneering medical AI enterprise in China to deploy comprehensive connotation-based quality control for entire medical records, Yisheng has remained focused on product research, development, and application.The product has been implemented in top-tier tertiary hospitals across China, including the Second Affiliated Hospital of Zhejiang University School of Medicine and Beijing Anzhen Hospital, Capital Medical University., significantly improving the quality of hospital medical records and management efficiency, thereby providing a solid infrastructure for the implementation of medical quality evaluation, performance assessment, and the adoption of DRG/DIP payment systems in hospitals.