An alert tool to promote lung protective ventilation for possible acute respiratory distress syndrome

Author:

Knighton Andrew J1,Kuttler Kathryn G2,Ranade-Kharkar Pallavi2,Allen Lauren1,Throne Taylor1,Jacobs Jason R3,Carpenter Lori3,Winberg Carrie3,Johnson Kyle2,Shrestha Neer2,Ferraro Jeffrey P4,Wolfe Doug1,Peltan Ithan D35,Srivastava Rajendu16,Grissom Colin K35

Affiliation:

1. Healthcare Delivery Institute, Intermountain Healthcare , Murray, Utah, USA

2. Digital Technology Services, Intermountain Healthcare , Salt Lake City, Utah, USA

3. Division of Pulmonary and Critical Care Medicine Department of Medicine, Intermountain Medical Center , Murray, Utah, USA

4. Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine , Salt Lake City, Utah, USA

5. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Utah School of Medicine , Salt Lake City, Utah, USA

6. Department of Pediatrics, University of Utah School of Medicine , Salt Lake City, Utah, USA

Abstract

Abstract Objective Computer-aided decision tools may speed recognition of acute respiratory distress syndrome (ARDS) and promote consistent, timely treatment using lung-protective ventilation (LPV). This study evaluated implementation and service (process) outcomes with deployment and use of a clinical decision support (CDS) synchronous alert tool associated with existing computerized ventilator protocols and targeted patients with possible ARDS not receiving LPV. Materials and Methods We performed an explanatory mixed methods study from December 2019 to November 2020 to evaluate CDS alert implementation outcomes across 13 intensive care units (ICU) in an integrated healthcare system with >4000 mechanically ventilated patients annually. We utilized quantitative methods to measure service outcomes including CDS alert tool utilization, accuracy, and implementation effectiveness. Attitudes regarding the appropriateness and acceptability of the CDS tool were assessed via an electronic field survey of physicians and advanced practice providers. Results Thirty-eight percent of study encounters had at least one episode of LPV nonadherence. Addition of LPV treatment detection logic prevented an estimated 1812 alert messages (41%) over use of disease detection logic alone. Forty-eight percent of alert recommendations were implemented within 2 h. Alert accuracy was estimated at 63% when compared to gold standard ARDS adjudication, with sensitivity of 85% and positive predictive value of 62%. Fifty-seven percent of survey respondents observed one or more benefits associated with the alert. Conclusion Introduction of a CDS alert tool based upon ARDS risk factors and integrated with computerized ventilator protocol instructions increased visibility to gaps in LPV use and promoted increased adherence to LPV.

Funder

National Heart, Lung and Blood Institute

National Center for Advancing Translational Sciences

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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