PerFECT 2.0: A Web-Based Platform Designed to Facilitate and Support the Diagnosis of Patients with Idiopathic Pulmonary Fibrosis in Italy

Timely and accurate diagnosis of idiopathic pulmonary fibrosis (IPF) is challenging, requiring specific tests including chest high-resolution computed tomography (HRCT), and limited by access to specialist centres with a multidisciplinary team (MDT). Here we describe PerFECT 2.0, an Italian web-based platform designed to create a network between tertiary centres with an MDT (hubs) and secondary centres (spokes), aiming to facilitate the diagnosis of IPF. PerFECT 2.0 went live on 1 November 2016. Spoke centres submit anonymised documentation (HRCT images, pathological samples, clinical data) for a second opinion on the potential diagnosis of IPF from a hub centre. HRCT images are quickly uploaded, with patient-identifying information automatically removed. The hub centre views documentation online (no downloads allowed), makes any further information requests, then returns their second opinion as free text. An e-learning area contains educational material and simulated training clinical cases. Metrics were collected for 2017–2019; a user survey was conducted from 30 June–31 July 2020. Ten hub centres and 137 spoke centres have registered. The requests for a second opinion numbered 251 in 2017, 270 in 2018 and 265 in 2019 (overall mean 19.9 requests per month). The proportion of requests answered was 100.0% (251) in 2017, 100.0% (270) in 2018 and 97.7% (259) in 2019. The mean response time was 15.7 days. In the user survey, of nine hub responders and 19 spoke responders, 78% and 74%, respectively, reported that the platform is easy to use, and 100% and 89%, respectively, would recommend the platform to colleagues. The PerFECT 2.0 web-based platform has created a network that enables secondary centres to gain quick and easy access to a second opinion from a tertiary centre with an MDT through online evaluation of anonymised documentation, thereby facilitating and supporting the timely and accurate diagnosis of IPF.