Better sepsis bundle compliance - Better outcomes
EHR‑embedded AI sepsis management platform
The AlgoDx Platform is a comprehensive suite of solutions designed to support health systems in improving sepsis care, quality performance and operational outcomes.
- NAVOY CDS®, built on our FDA‑cleared technology, enables early sepsis detection and continuous monitoring of patient deterioration through real‑time EHR integration. By leveraging routine clinical data, it supports clinicians from ED triage through the full patient journey, helping improve sepsis management and CMS SEP‑1 performance.
- Bundle Steward™ serves as the compliance backbone of the AlgoDx Platform, automating and tracking each element of the SEP‑1 sepsis bundle to support timely execution and accurate documentation. By simplifying compliance workflows, enabling automatic time zero detection, strengthening reporting, and reducing revenue leakage, it helps hospitals meet quality standards while delivering safer, higher‑quality care.
- SEP‑1 Scribe™ adds medical scribe capability that automatically documents sepsis care as it happens. By capturing clinical actions in real time, SEP‑1 Scribe reduces charting time, lowers administrative burden, minimizes downstream queries, and helps health systems meet documentation requirements for auditability and reimbursement.
Impactful Results With The AlgoDx Platform
Data-driven precision medicine that leverages advanced analytics and clinical insights to enhance patient outcomes, optimize treatment decisions, and improve financial performance across healthcare systems.
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How AlgoDx Enhances Sepsis Management
Real-Time Sepsis Detection
Utilizes advanced algorithms to identify sepsis up to 3 hours earlier, enhancing patient care and outcomes.
Automated Flags
Ensures automatic time zero detection, facilitating prompt intervention and adherence to sepsis protocols.
Standardized Care Protocols
Streamlines the implementation of consistent treatment guidelines, reducing variability and improving compliance.
What is the SEP-1 measure and why is it important?
SEP-1, CMS’s Severe Sepsis and Septic Shock Management Bundle, is the time-sensitive measure requiring hospitals to complete specific interventions within three and six hours of sepsis recognition. Compliance impacts reimbursement and public reporting, making streamlined protocols, EHR alerts, teamwork, and thorough documentation essential to ensure timely care, avoid financial penalties, and improve patient outcomes.
How does SEP-1 affect value-based payment models?
CMS has incorporated SEP-1 into the Hospital Value-Based Purchasing Program, linking sepsis care performance directly to financial reimbursement. All-or-none compliance with the 3- and 6-hour bundle now affects a hospital’s Total Performance Score, with high compliance earning incentives and poor performance risking penalties, making SEP-1 a high-stakes measure requiring executive focus, resources, technology, and thorough documentation.
How does the AlgoDx Platform support SEP-1 compliance?
The AlgoDx Platform supports hospital compliance with CMS’s SEP-1 bundle by enhancing early sepsis detection and documentation. Fully integrated with the EHR, it provides AI-driven alerts, automated notifications, and standardized checklists to facilitate timely completion of 3- and 6-hour bundle tasks, streamlining workflows, ensuring precise time-stamping, and improving both clinical and financial outcomes.
AI Grounded In Healthcare Reality
“The sepsis coordinator’s work is heavily manual. Their goal is to do chart review right after discharge, but very often they’re short of staff and can’t keep up.”
Sepsis Nurse, IL
“Sepsis ranks as the leading condition associated with the highest rate of claim denials.“
Sepsis Program Coordinator, ID
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Supported By Peer-Reviewed Publications
Clinical Validation Trial:
- Persson I, Macura A, Becedas D, Sjövall F. Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study. J Crit Care. 2024 Apr;80:154400. doi: 10.1016/j.jcrc.2023.154400.
- Sjövall F, Persson I. Poster presentation at SCCM Society of Critical Care Medicine, San Francisco, January 21-24 2023.
Health Economic Publications:
- Hjelmgren J, Schmidt M, Geahchan C, Becedas D, Hidou C. Poster presentation: ISPOR–The Professional Society for Health Economics and Outcomes Research, November 2022, Boston, MA.
- Ericson O, Hjelmgren J, Sjövall F, Söderberg J, Persson I. The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden. JHEOR. 2022;9(1):101-110. doi:10.36469/jheor.2022.33951.
- M. Nottmeier, Pricia, Jan 2026, Health Economic Study of NAVOY CDS® in U.S. health systems, Data on File.