Practical Guide to Patient-Generated Data Sources

Ce dossier présente un ensemble de guides pratiques concernant l'intelligence artificielle et les sources de données massives dans la recherche en chirurgie

Résumé en anglais

Over the past decade, digital health innovations using patient-generated data have proliferated as a unique and potentially powerful source of information to enhance the quality of surgical care. This includes preoperative management (eg, prehabilitation), postoperative communication and monitoring, and long-term surveillance and outcomes (eg, functional assessments, symptom evaluation). Features include automated information transmission (eg, daily check-ins, activity monitoring data), 2-way communication, multimedia assessments (eg, submission of wound pictures), and automated alerts (eg, patient portals, text messaging). These tools include third-party applications, electronic health record (EHR)–based tools, wearables, and patient-reported outcome (PRO) assessments and have demonstrated promising results in randomized clinical trials and prospective evaluations. In this article, we will review the limitations of these tools, data management and analytic considerations, and the impact of health equity when using patient-generated data (Box).