Sepsis Monitor continuously analyzes a broad cross-section of EHR data, including Clinical Notes, using clinical Natural Language Processing (cNLP) to accurately identify patients with sepsis earlier so care teams can intervene with SEP-1 bundle care components at the right time.
Sepsis Monitor's focus on the consistent delivery of SEP-1 care can improve patient outcomes, quality measures, and financial performance. Our customers achieve improvements in SEP-1 bundle compliance resulting in length of stay reductions and associated cost savings.
Whether it's through centralized monitoring or alerting at the point of care, Sepsis Monitor reinforces your institution’s sepsis workflows by alerting and delivering patient-specific guidance to the right person so they can rapidly administer the evidence-based care.
Accurate identification of patients with sepsis and reliable clinical guidance are crucial to reducing care variation that lies behind poor performance. Frequently, a hospital uses its EHR's sepsis alerts to accelerate diagnosis and treatment, but studies show many EHRs have low sensitivity or specificity of alerts, contributing to pervasive alert fatigue. Sepsis Monitor's clinically maintained algorithms, clinical Natural Language Processing (cNLP), and evidence-based content help to detect sepsis earlier and manage patient care throughout their stay and staff transition.
Sepsis Monitor's intuitive analytics dashboards provide a comprehensive view of sepsis program performance to drive impactful PDSA that improve alert performance, bundle compliance, and sepsis performance and outcomes.
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