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Wolters Kluwer, Health has announced that Phoebe Putney Health System, a not-for-profit health system in southwest Georgia, has selected POC Advisor^TM for earlier detection of sepsis and to support faster intervention at three hospital sites. With POC Advisor’s real-time, AI-supported natural language processing (NLP) to analyze patient data and free-text chart notes, patients with sepsis are identified and flagged to Phoebe’s clinical teams earlier when care can make the biggest impact on outcomes.

Phoebe selected a surveillance technology solution that equips bedside clinical teams to improve care and provides a population-wide view of the status of all sepsis patients in a hospital which allows the sepsis coordinator to identify where best to partner with care teams to drive improved patient outcomes. This technology supports a well-rounded sepsis program that includes the early and accurate identification of patients showing signs of sepsis, and consistent and timely adherence to policies, protocols, and order sets, all of which are overseen by dedicated sepsis coordinators as serving as the hands-on specialist resource for providers.

At Phoebe, clinicians will receive alerts with evidence-based protocols at the point of care. The solution’s intuitive analytic dashboards track quality performance metrics to reduce practice variation by identifying gaps in bundle compliance. Additionally, the Alert Response dashboard will provide a comprehensive view of Phoebe’s clinician actions to promote timely interventions, support continuous improvement, educate staff and increase standardization of sepsis response.

Knowing which patients to look at is essential. By analyzing a broad cross-section of Phoebe’s MEDITECH EHR data, including clinical notes using NLP, the platform can identify patients at risk of sepsis much earlier than the EHR SIRS-based sepsis alerts. POC Advisor analyzes data in real-time, accounting for more than 4,000 co-morbidities. The solution’s evidence-based algorithms dramatically reduce false positives for conditions that mimic sepsis resulting in higher quality alerts that clinicians trust.