Honghe Hani And Yi Autonomous Prefecture

The healthcare system for children in China faces major challenges, especially due to the limited ability of primary healthcare institutions to provide pediatric care. A key barrier is the lack of effective and accessible training tools for primary care doctors. This trial investigates the use of artificial intelligence-driven virtual standardized patients (VSPs) to improve how primary care doctors manage common pediatric diseases such as pneumococcal pneumonia, rotavirus enteritis with hypovolemic shock, hand-foot-and-mouth disease, acute appendicitis, and pediatric respiratory failure. The study is a randomized controlled trial involving doctors from over 10 provinces across China. Participants will be randomly assigned to one of three groups: a virtual patient platform group using VSPs, a case teaching manual group, or a case teaching video group. The VSPs simulate clinical cases using internet and virtual simulation technology, allowing doctors to conduct consultations, physical exams, auxiliary exams, and treatment decisions in a safe and flexible way. After a two-week learning period, participants' abilities to manage pediatric diseases will be tested using clinical vignettes. Doctors from more than 300 primary healthcare institutions will be involved, with assessments focused on how well they adhere to best clinical practice guidelines over an average of six months. Researchers will monitor full, partial, or nonadherence to these guidelines. This trial aims to use artificial intelligence to help improve pediatric care capacity in diverse regions of China by enhancing doctors' clinical skills through innovative training methods.

Researchers are investigating the prevalence, disease burden, and prognosis of chronic obstructive pulmonary disease (COPD) in patients aged 40 years or older with three types of cardiovascular diseases (CVD): coronary heart disease (CHD), atrial fibrillation (AF), and chronic heart failure (CHF). This multi-center, prospective, and interventional study aims to describe how common COPD is among these CVD patients and to observe how combined cardiopulmonary management affects their short-term prognosis. The study plans to enroll approximately 3,000 subjects, divided evenly among the three disease cohorts. The study involves a guideline education and implementation intervention delivered at both the investigator and patient levels. Investigators will receive education about COPD and CVD about four weeks before enrolling subjects. After enrollment, cardiologists and pulmonologists will provide patients with disease education every four weeks and collaborate on treatment management. Participants will be followed up every four weeks throughout the study period to monitor their health and treatment progress. Participants will undergo assessments including spirometry testing and questionnaires evaluated by investigators to confirm cognitive ability. Researchers will measure the number and percentage of COPD cases among subjects with CVD at baseline. Follow-up visits every four weeks will support ongoing treatment management and monitoring. The study duration and detailed timelines align with the intervention and follow-up schedules, ensuring comprehensive observation of patient outcomes and safety.