safety alerts
Seyzo's SafetyNet
Bring easily overlooked abnormal vital sign patterns & trends to the forefront in order to help eliminate adverse outcomes.
Abnormal Vital Signs and Trends
SafetyNet brings easily overlooked abnormal vital sign patterns and trends to the forefront to help eliminate adverse outcomes. Vital signs are monitored and analyzed in real-time using our evidence-based algorithms. When an abnormal vital or pattern within a patient’s vitals is detected that may bear clinical significance, an alert is immediately pushed to subscribed providers. In addition, the Seyzo SafetyNet Trackboard organizes patients with concerning vitals and ranks them based on severity. This view can be as specific as a single provider or general to include the entire hospital.
Studies show that using AI technology to measure and collect abnormal vital signs may be a preventive measure and best practice for predicting adverse outcomes related to premature patient discharge.
By using Seyzo to monitor vital signs, data suggests that you are better able to anticipate undesirable patient outcomes and prevent repeat emergency department admissions.
Association of vital signs and process outcomes in Emergency Department Patients
A study on the association between vital signs and process outcomes in Emergency Department (ED) patients done by Nicole R. Hodgson, MD, Karl A. Poterack, MD, Lanyu Mi, MS, and Stephen J. Traub, MD at the Mayo Clinic Hospital in Phoenix, Arizona (2019) determined that patients with abnormal vital signs last recorded prior to discharge experienced more frequent undesirable process outcomes. Out of 94,069 ED visits, 3.43% of patients (3,227) returned within 72 hours of discharge. The study concluded that advanced AI models in vital sign abnormality tracking may prevent poor process outcomes by using data to take predictive measures.
The association between abnormal vital sign groups and undesirable patient outcomes
A study on the association between abnormal vital sign (AVS) groups and undesirable patient outcomes lead by Marina Lee, David McD Taylor, and Antony Ugoni (2018) analyzed 1,438 emergency department (ED) patients with abnormal vital signs and the relationship to medical emergency team (MET) calls and death. The study concluded that generally, AVS groups are more likely to experience undesirable outcomes than non-AVS groups, and therefore measuring abnormal vital signs can serve as a preventative measure, informing best practice management, ED disposition, and communication with patient(s) and family.
Repeated vital sign measurements in the emergency department predict patient deterioration within 72 hours, prospective observational study
In a study on the association between repeated vital sign measurements in the emergency department (ED) and predicted patient deterioration within 72 hours lead by Vincent M. Quinten , Matijs van Meurs, Tycho J. Olgers, et. al. (2018), 359 ED patients had vital signs recorded every 3 hours. Nearly one-third of patients (29.5%) deteriorated within 72 hours of admission. In conclusion, the study determined that repeated vital sign measurement data may serve as an indicator for likelihood of patient deterioration. By examining these signs, ED staff may be able to identify early signs and prevent adverse outcomes.
Vitals Safety Net
Monitor vital sign trends with Seyzo’s SafetyNet and send automatic alerts to healthcare staff.
- Abnormalities in BP, HR, Respirations, and Temperature are differentiated between “Abnormal” and “Very Abnormal” → allows the provider to select appropriate course of action.
- Trends in vital signs detect ±2 Standard Deviations above/below recent vitals for that patient→ allows identification of vitals which are unusual for that patient and may signify a change in clinical status.
- Groups of vital signs are analyzed together so that a constellation of abnormals can be used to identify specific concerning clinical scenarios.