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Open Access Data Repository and Common Data Model for Pulse Oximeter Performance Data

Fong, N.; Lipnick, M. S.; Behnke, E.; Chou, Y.; Elmankabadi, S.; Ortiz, L.; Almond, C. S.; Auchus, I.; Burnett, G. W.; Bisegerwa, R.; Conrad, D. R.; Hendrickson, C. M.; Hooli, S.; Kopotic, R.; Leeb, G.; Martin, D.; McCollum, E. D.; Monk, E. P.; Moore, K. L.; Shmuylovich, L.; Scott, J. B.; Wong, A.-K. I.; Zhou, T.; Pirracchio, R.; Bickler, P. E.; Feiner, J.; Law, T.

2024-08-31 health informatics
10.1101/2024.08.30.24312744 medRxiv
Show abstract

The OpenOximetry Repository is a structured database storing clinical and lab pulse oximetry data, serving as a centralized repository and data model for pulse oximetry initiatives. It supports measurements of arterial oxygen saturation (SaO2) by arterial blood gas co-oximetry and pulse oximetry (SpO2), alongside processed and unprocessed photoplethysmography (PPG) data and other metadata. This includes skin color measurements, finger diameter, vital signs (e.g., arterial blood pressure, end-tidal carbon dioxide), and arterial blood gas parameters (e.g., acid-base balance, hemoglobin concentration). Data contributions are encouraged. All data, from desaturation studies to clinical trials, are collected prospectively to ensure accuracy. A common data model and standardized protocols for consistent archival and interpretation ensure consistent data archival and interpretation. The dataset aims to facilitate research on pulse oximeter performance across diverse human characteristics, addressing performance issues and promoting accurate pulse oximeters. The initial release includes controlled lab desaturation studies (CLDS), with ongoing updates planned as further data from clinical trials and CLDS become available.

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