摘要Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited ac-cess to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinic-al research progress.In response,our research team has embarked on the development of a specialized clinical research database for cardiology,thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors.Methods The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021.It included comprehensive data on patients' basic information,medical history,non-invasive imaging studies,laboratory test results,as well as peri-procedural information related to interven-tional surgeries,extracted from the Hospital Information System.Additionally,an innovative artificial intelligence(AI)-powered interactive follow-up system had been developed,ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up,thereby achieving comprehensive data management throughout the entire care continuum for high-risk patients.Results This database integrates extensive cross-sectional and longitudinal patient data,with a focus on higher-risk acute coron-ary syndrome patients.It achieves the integration of structured and unstructured clinical data,while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency.It creates a comprehens-ive patient view,thereby improving diagnostic and follow-up quality,and provides high-quality data to support clinical research.Despite limitations in unstructured data standardization and biological sample integrity,the database's development is accom-panied by ongoing optimization efforts.Conclusion The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research,which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes.It supports clin-ical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.