Leveraging Artificial Intelligence and Synthetic Data Derivatives for Spine Surgery Research.

ABSTRACT:

Study design

Retrospective cohort study.

Objectives

Leveraging electronic health records (EHRs) for spine surgery research is impeded by concerns regarding patient privacy and data ownership. Synthetic data derivatives may help overcome these limitations. This study's objective was to validate the use of synthetic data for spine surgery research.

Methods

Data came from the EHR from 15 hospitals. Patients that underwent anterior cervical or posterior lumbar fusion (2010-2020) were included. Real data were obtained from the EHR. Synthetic data was generated to simulate the properties of the real data, without maintaining a one-to-one correspondence with real patients. Within each cohort, ability to predict 30-day readmissions and 30-day complications was evaluated using

SUBMITTER: Greenberg JK 

PROVIDER: S-EPMC10538345 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature