Clinical Research Directory

Evaluation of a Machine Learning-Based Prediction Strategy for Extrahepatic Metastasis in Hepatocellular Carcinoma

This is a multicenter prospective observational cohort study in patients with hepatocellular carcinoma (HCC) after curative-intent treatment. The study aims to prospectively validate previously developed machine learning-based risk stratification models for extrahepatic metastasis (with a focus on lung and bone metastasis) and to evaluate their potential clinical utility in real-world postoperative surveillance and management pathways. The study does not assign treatments or surveillance strategies to participants. Clinical care is determined by treating physicians according to local practice. The study will assess model performance (including discrimination and calibration), risk stratification ability, and implementation-related outcomes such as model adoption, decision impact, and changes in monitoring intensity or referral pathways. The study will also explore clinical and resource-related outcomes associated with model-informed risk stratification in routine practice.

Evaluation of the Quality of Care in the Emergency Department by Studying the Appropriateness of Hospitalizations

The aim of this study is to develop, study and validate a rigorous and sustainable method for assessing the clinical appropriateness of the decision taken in the Emergency Department to admit or not to admit patients.

Evaluation of the Quality of Care in the Emergency Department by Studying the Appropriateness of Admissions of Patients Accessing the Emergency Department (Fondazione IRCCS Ca' Granda Ospedale Maggione Policlinico)

The aim of this study is to develop, study and validate a rigorous and sustainable method for assessing the clinical appropriateness of the decision taken in the Emergency Department to admit or not to admit patients.

Evaluation of the Quality of Care in the Emergency Department by Studying the Appropriateness of Admissions of Patients Accessing the Emergency Department (ASST Papa Giovanni XXIII)

The aim of this study is to develop, study and validate a rigorous and sustainable method for assessing the clinical appropriateness of the decision taken in the Emergency Department to admit or not to admit patients.

Health-care Quality in Semi-intensive Care Units

The main aim of this study is to realize a system of continuous evaluation of healthcare quality in semi-intensive care units.

RecistTM Criteria in Evaluating the Efficacy of Targeted Therapy for NSCLC

Investigators established the efficacy evaluation criteria for tumor markers (RecistTM) in the preliminary research. Among patients with advanced non-small cell lung cancer, patients with positive driving genes are more likely to exhibit abnormalities in tumor markers, which suggests that this criteria may be more suitable for evaluating the efficacy of targeted therapy in driving gene positive patients. Moreover, The judgment rules of the prelimary criteria still need further improvement. Therefore, in order to broaden the application scope of the RecistTM criteria, further improve the evaluation rules of RecistTM criteria, and multi-dimensionally confirm the reliability of RecistTM criteria on efficacy evaluation, investigators plan to conduct research on the application of RecistTM criteria in evaluating the efficacy of targeted therapy for advanced non-small cell lung cancer with positive driving genes.