What can help clinicians cut through the noise to get actionable insights?

• Gaps in the patient’s record that hamper decision-making
  
• Data silos between lower and critical acuity 
  
• Inability to easily identify at-risk patients and avoid patient deterioration/decline
• Time-consuming, burdensome administrative tasks, like re-entering data 

Surveillance-level data provides a comprehensive, high-fidelity, continuous streaming view of a patient, while also analyzing this measurement information to determine what is physiologically meaningful and what this might say about a patient’s status and their care pathway progress.

Clinical surveillance algorithms overlayed on this data may allow for a higher level of specificity and sensitivity when caring for patients. Clinical surveillance is designed to

• Support the entire care team with actionable insights
• Enable improved staff efficiency and satisfaction
• Align alert notifications to clinical practice guidelines

This holistic perspective of multiple vital signs over time helps identify trends that may enable clinicians to detect deterioration and the need for intervention before a resource-intensive response is required, and before the patient declines.