Developing A Data Pipeline to Quantify Ventilator Waveforms.

ABSTRACT:

Objective

To automatically collect ventilator waveforms and integrate them with curated electronic health record data from thousands of patients to provide the data necessary to analyze the complex interactions between lung injury, patient effort, ventilator dyssynchrony, and ventilator mechanics. Such datasets do not currently exist, hampering the understanding of ventilator trajectories.

Design

A prospective, observational study which utilizes a multidisciplinary team of data scientists, biomedical engineers, and clinicians to develop an automated pipeline collecting high-fidelity ventilator waveform data and integrating these data with electronic health record data, including vital signs, sedation and agitation scores, lab results, and medications (drug, dose, and route).

SUBMITTER: Sottile PD 

PROVIDER: S-EPMC12636648 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature