The Ideal Tool for Early Detection

The evidence shows that the highest specificity indicator for patients at risk was a combination of heart rate, respiratory rate, systolic blood pressure and change in mental status.1 For that reason, the ViSi Mobile System measures Heart Rate, Pulse Rate, Respiration Rate, SpO2, Continuous Non-Invasive Blood Pressure (cNIBP), and Skin Temperature.

ViSi Mobile Has All of the Desirable Characteristics
of Surveillance Monitoring Systems1,3

  • Accurate
  • Evidence-based
  • Sensitive
  • Specific
  • Continuous
  • Ability to trend in real time
  • Does not hinder patient mobility
  • Does not impair patient comfort
  • Multimodal (multi-parameters)
  • Automated alert/alarm
  • Directed alert/alarm to specific clinician
  • Cost effective
  • Upgradable at low cost
  • Low maintenance
  • Interfaces to electronic health record
  • Failure mode recognition
    (detects when it is not working)
  • Default modes
  • Simple display in room and outside it

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Having the ability to identify patients who are deteriorating, or have a high likelihood of deteriorating in the future, and successfully reporting that information to clinicians trained to respond and evaluate these conditions, is essential to reducing risk.

The ability to respond hinges on the ability to detect and recognize abnormal vital signs… if practical and affordable, all patients should be monitored continuously.

DeVita MA, et al.
Identifying the Hospitalized Patient in Crisis

Continuous surveillance monitoring in non-ICU settings provides clinicians with actionable data to deliver better, and safer care to patients through the early detection of patient deterioration. Let us show you how you can make this practical across the enterprise.

In an era of electronic medical records, automated alerting systems should be based on automatically collected and continuously sampled data

Amir A, .Birkmeyer JD et al from N Engl J Med

1. Hillman K, Bristow P, Chey T et al.: Duration of life-threatening antecedents prior to intensive care admission. Intensive Care Medicine 2002; 28:1629-1634

2. Amir A, .Birkmeyer JD et al.: Variation in Hospital Mortality Associated with Inpatient Surgery. Engl J Med 2009; 361:1368-1375

3. DeVita M, Smith G, Adam S et al.: “Identifying the hospitalised patient in crisis” – A consensus conference on the afferent limb of Rapid Response Systems. Resuscitation 2010; 81:375-382

4. Taenzer A, Pyke J, Herrick M et al.: A Comparison of Oxygen Saturation Data in Inpatients with Low Oxygen Saturation Using Automated Continuous Monitoring and Intermittent Manual Data Charting. Anesthesia & Analgesia 2014; 118:326-331.