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Etiometry Clinical Data Highlights

The Etiometry Quality Improvement Application (QI App) currently utilizes more than 150 million hours of de-identified patient data and has supported more than 150 quality improvement initiatives. Here are some highlights that demonstrate ways the Etiometry platform is improving healthcare delivery.

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Etiometry Utilization and Reduction in Length of Stay

  • 18% reduction in LOS: Gaies, M. (2023) Methods to enhance causal inference for assessing impact of Clinical Informatics Platform Implementation. Circulation: Cardiovascular Quality and Outcomes.
  • 36% reduction in LOS: Salvin, J. et al. (2017) The Impact of a Real-Time Physiologic Data Analytic Index on Length of Stay in Neonates Following Surgery for Congenital Heart Disease, Circulation.

Etiometry Utilization and Reduction in Readmissions

  • 41% reduction in unplanned ICU readmissions: Gaies, M. (2023) Methods to enhance causal inference for assessing impact of Clinical Informatics Platform Implementation. Circulation: Cardiovascular Quality and Outcomes.

Etiometry Standardizes the De-escalation of Care

  • 22% Reduction of time on mechanical ventilation: Borasino, S. et al. (2023) Automated Extubation Readiness Tool is Associated with Improved Outcomes Following Pediatric Cardiac Surgery. WCPCCS.
  • 18% Reduction of time with vasoactive infusions*: Salvin, J. et al. (2023) Use of a Risk Analytic Algorithm to Inform Weaning from Vasoactive Medication in Patients Following Pediatric Cardiac Surgery. WCPCCS.

Etiometry’s IDO2 Index (FDA-cleared risk algorithm), used as a part of a bundle, leads to focusing attention on patients at highest risk (33%), capturing up to 62% of all cardiac arrests

  • Zaccagni, H. et al. (2021) Abstract 11370: Track and Trigger system based on patient analytics for cardiac arrest risk identification. Circulation, 144.

Early Warning of Hyperlactatemia

Etiometry’s HLA Index (FDA-cleared risk algorithm) showed a strong positive association with elevated lactic acid with a ROC of 0.95, providing the bedside clinician with an early, non-invasive warning of impaired oxygen delivery.

  • Asfari, A. et al. (2023) A Near Real Time Risk Analytics Algorithm Predicts Elevated Lactate Levels in Pediatric Cardiac Critical Care Patients. WCPCCS.

Etiometry Utilization and Nurse Satisfaction

Lowry, A. NASA TLX survey analysis from PCICS (2020) abstract:

  • 88% say Etiometry makes their job easier, the platform is easy to use and helps them do tasks in fewest possible steps
  • 79% say Etiometry saves time

For deeper insights into any of the 150 studies that utilize Etiometry’s QI App, please contact your Etiometry representative or info@etiometry.com.

*Clinical Decision Support System prompts discussions about clinical decisions, such as those made during rounds, that may improve outcomes. For example, using the Etiometry platform’s IDO2 Index as a flag to prompt evaluation of a patient for medication weaning, along with other information used in twice-daily rounds, was associated with an 18% reduction in time on vasoactive medication.

WCPCCS: World Congress of Pediatric Cardiology and Cardiac Surgery
PCICS: Pediatric Cardiac Intensive Care Society

The Etiometry Platform is not an active patient monitoring system. It is intended to supplement and not replace any part of the hospital’s device monitoring. Do not rely on the Etiometry Platform as the sole source of patient status information. For prescription use only. ©2023 Etiometry, Inc. All rights reserved. ETI-M-Clinical-Summary-001-202308