Clinical trials

The OPTIMIZE-ILD-1 trial is a prospective, randomized, open-label clinical trial designed to evaluate the impact of a coordinated diagnostic pathway on patients with suspected interstitial lung disease (ILD). In routine clinical practice, diagnostic workflows for ILD are frequently fragmented, involving multiple independent appointments that can lead to significant delays and increased burden for patients and caregivers. This study compares the standard diagnostic pathway against an optimized circuit where core diagnostic procedures-such as high-resolution CT, pulmonary function tests, and laboratory panels-are pre-bundled and scheduled within a coordinated and compressed timeframe. All eligible patients referred for suspected ILD are included consecutively to ensure a pragmatic, real-world representation of the referral population. The primary objective is to measure the time to diagnostic communication, defined as the duration from randomization to the date the patient is formally informed of the final diagnosis following a multidisciplinary team (MDT) consensus. Secondary objectives include assessing the time to MDT diagnosis, the time to treatment initiation (when clinically indicated), socioeconomic cost-burden, and the environmental carbon footprint of the diagnostic journey. Furthermore, the study evaluates health-related quality of life, psychological distress, and clinical frailty, while exploring factors such as language proficiency as determinants of diagnostic equity. Caregiver-related outcomes, including burden and experience measures, are contingent upon the presence of a primary caregiver and the provision of their independent informed consent. The design of this protocol was informed by a patient focus group and is officially endorsed by the 'AIRE' Associació Catalana de Malalts i Trasplantats Pulmonars, ensuring a patient-centered approach that prioritizes the diagnostic journey's efficiency and human impact.

The OPTIMIZE-ILD-2 trial is a prospective, randomized, open-label clinical trial designed to evaluate the impact of a coordinated follow-up pathway on patients with established interstitial lung disease (ILD). In routine clinical practice, follow-up workflows for ILD are frequently fragmented, requiring multiple hospital visits for pulmonary function tests, laboratory analysis, treatment administration, and consultations with various specialists, which increases the burden for both patients and caregivers. This study compares the standard follow-up care against an optimized circuit where all routine monitoring procedures and interdisciplinary consultations are pre-bundled and scheduled within a single, coordinated hospital visit. All eligible patients under active ILD follow-up are included consecutively to ensure a pragmatic, real-world representation of the treated ILD population. The primary objective is to measure the total follow-up time burden, defined as the total home-to-home time required to complete the follow-up circuit. As a cross-sectional assessment within a longitudinal context, secondary objectives include assessing socioeconomic cost-burden, the environmental carbon footprint of the follow-up journey, health-related quality of life, and clinical frailty. Caregiver-related outcomes, including burden and experience measures, are contingent upon the presence of a primary caregiver and the provision of their independent informed consent. The design of this protocol was informed by a patient focus group and is officially endorsed by the 'AIRE' Associació Catalana de Malalts i Trasplantats Pulmonars, ensuring a patient-centered approach that prioritizes follow-up efficiency and human impact.

Epidemiological surveillance is one of the eight core components of the World Health Organization Infection Prevention and Control Programmes. These include surveillance programmes for surgical site infection (SSI). At present, for SSI surveillance, infection control teams perform a manual time-consuming work, which could make a transition to automated surveillance leveraging the new information technology. The aim of this study was to evaluate the performance of a novel algorithm to detect SSI in a cohort of elective colorectal surgery patients who have been previously screened within a nationwide healthcare-associated infection surveillance system.

Epidemiological surveillance is one of the eight core components of the World Health Organization Infection Prevention and Control Programmes. These include surveillance programmes for surgical site infection (SSI). At present, for SSI surveillance, infection control teams perform a manual time-consuming work, which could make a transition to automated surveillance leveraging the new information technology. This study aimed to evaluate the ability of ChatGPT-4o to detect surgical site infection at the three anatomical levels.