JAMA Surgery

Practical Guide to Clinical Big Data Sources

This Guide to Statistics and Methods summarizes the limitations and considerations when using large datasets comprising patient-level data, typically abstracted from institutional electronic health records, in health services research.

Practical Guide to Multiomics Big Data Sources

This Guide to Statistics and Methods explores the benefits for disease detection and treatment of using big data sources, such as large-scale biobanks, and discusses their implications for data management and health equity.

Practical Guide to Patient-Generated Data Sources

This Guide to Statistics and Methods provides an overview of different types of patient-generated data sources, discusses their limitations, and recommends areas for improvement prior to widespread integration.

Practical Guide to Use of Simulation and Video Data

This Guide to Statistics and Methods summarizes the limitations and considerations when using simulation and intraoperative video data for surgical performance assessment.

Practical Guide to the Use of AI-Enabled Analytics in Research

This Guide to Statistics and Methods discusses approaches to incorporating artificial intelligence (AI)-enabled analytics when working with big data and outlines AI-related considerations for data management and health equity.