Clinical Research Directory

Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission

The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis and management planning performance on standardized simulated inpatient cases, among practicing internal medicine and surgery physicians across all seniority levels and across three tiers of the Chinese healthcare system. The main questions it aims to answer are: * Does the Agent-assisted workflow yield better structured admission diagnosis and management planning scores than standalone LLM assistance? * Does the Agent-assisted workflow outperform the traditional workflow without AI tools? Researchers will compare three parallel groups (traditional workflow group, LLM-assisted group, Agent-assisted group) to determine whether the Agent tool can improve diagnostic accuracy and efficiency. Participants will: * Be recruited from 15 hospitals in China and participate remotely under video proctoring * Be randomly assigned to one of the three fixed workflows, with randomization stratified by hospital tier, specialty and seniority * Complete 6 anonymized simulated HIS admission cases within one hour * Submit structured answers for each case covering principal diagnosis, secondary diagnoses, differential diagnoses, diagnostic justification, next diagnostic or therapeutic steps, consultation and referral decisions, and diagnostic confidence * Have their operation logs and time consumption recorded automatically by the study platform

PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria

This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk population. The main questions the validation study aims to answer are: 1. How accurately do existing prostate cancer risk calculators identify Nigerian men with clinically significant prostate cancer? 2. Will a new risk calculator designed for Nigerian men more accurately identify those with clinically significant prostate cancer? The main questions the intervention study aims to answer is: Will the primary care provider-facing risk calculator be feasible and acceptable for primary care providers to implement? The intervention trial will be piloted among participants in community-level hospitals in order to primarily assess implementation outcomes

Low Dose Aspirin Alerts in High-Risk Pregnancies

The goal of this study is to assess the effect of an electronic health record (EHR) clinical decision support tool, also known as a best practice alert (BPA), on healthcare provider recommendations for low dose aspirin use in a high-risk pregnant patient population. The investigators hypothesize that the implementation of the EHR BPA tool will increase the healthcare provider's recommendation for low dose aspirin compared to current standard care.