Implementing an Improved STEMI Alert Notification System Workflow to Reduce Alarm Fatigue in a Community Hospital
Jacinto, J.; Jonna, S.; Alsaghir, R.; Hassan, S.; Syed, M.
Show abstract
BackgroundThe assumed national average of STEMI cancellations due to inappropriate activations is approximately 15%. In the final quarter of 2022, 57.9% of hospital-wide and 55.6% of ED/EMS STEMI activations were canceled at HCA Florida Orange Park Hospital. This cancellation rate contributed to overall "alarm fatigue" and hospital staff dissatisfaction over the hospitals overuse of hospital resources. MethodsAn evaluation of the STEMI activation system revealed breakdown in communication from EMS to ED physician, inaccurate cardiology on-call schedule, and inefficient communication of case details between EMS, ED physician, and cardiologist. An algorithm was created that directed all STEMI activations from EMS to the ED physician for review, who may activate the STEMI alert or discuss the case with the on-call cardiologist. This plan was implemented and allowed a 30-day adjustment period. After this period, a prospective analysis of STEMI cancellations in the 2nd quarter of 2023 was performed with cath lab staff satisfaction surveys. ResultsThe data on retrospective analysis of the final quarter of 2022 showed a STEMI cancellation rate of 68.8% hospital-wide and 66.7% from the ED and EMS. After the 30-day implementation of the plan, the hospital-wide STEMI cancellation rate dropped to 20% and 22% from the ED and EMS in the 2nd quarter of 2023 without adverse effect on door-to-balloon time. ConclusionsThe multidisciplinary approach to the creation and implementation of the new STEMI activation algorithm resulted in a significant reduction in false activations, improved cath lab staff satisfaction, and better utilization of hospital resources.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Risk Factors for Early PICC Removal: A Retrospective Study of Adult Inpatients at an Academic Medical Center 94%
- Predicting factors for long-term survival in patients with out-of-hospital cardiac arrest - a propensity score-matched analysis 93%
- ChatGPT Provides Inconsistent Risk-Stratification of Patients With Atraumatic Chest Pain 93%
Similar papers in this journal
Similar papers in this journal
- Myocardial Infarction across COVID-19 Pandemic Phases: Insights from the Veterans Health Affairs System 93%
- Smartwatch Facilitated Remote Health Care for Patients Undergoing Transcatheter Aortic Valve Replacement Amid COVID-19 Pandemic 93%
- Effectiveness of an Impella versus intra-aortic balloon pump in patients who received extracorporeal membrane oxygenation 92%
Similar papers in this journal
- Assessing Attitudes and Perceptions of High-risk, Low-resource Communities towards Cardiopulmonary Resuscitation and Public-access Defibrillation 94%
- Screening for Right Ventricular Dysfunction in the Emergency Department Using a Smartphone ECG Analysis Application: An External Validation Study with Acute Pulmonary Embolism Patients 93%
- Incidence and outcomes of unstable angina in patients with low high-sensitivity cardiac troponin I values -- A substudy of the RACE-IT trial 92%
Similar papers in this journal
- Direct Oral Anticoagulants Affect Activated Clotting Time During and Bleeding Events After Percutaneous Coronary Intervention 92%
- Ticagrelor vs Clopidogrel: the Impact of Platelet Inhibition on Cerebrovascular Microembolic Events during TAVR 92%
- Investigating Electrocardiographic Abnormalities in Patients with Coronary Microvascular Dysfunction 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.