Client Studies
Indications for Use: DECISIO’s InsightIQ (DECISIO Health Patient Dashboard) is a decision support device indicated for aggregating, displaying, and managing physiologic and other patient information. This information is generated by third party medical devices and patient information systems. The device performs automated calculations on patient data collected by third party devices based on approved clinical protocols at patient care facilities.
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Computerized Clinical Decision Support System Improves Door-to-Needle Time for Acute Ischemic StrokeA1
Administration of thrombolytics (tPA) within the first 60 minutes of presentation for acute Ischemic Stroke is recommended. We utilized a computerized clinical decision support (CCDS) software to identify such patients and created timely alerts to coordinate teams and optimize workflow.... -
Continuous Cloud-Based Early Warning Score Surveillance to Improve the Safety of Acutely Ill Hospitalized Patients P1
Hospitals today do not have streamlined processes to identify at-risk patients sooner for earlier intervention. As a result, patient safety is an issue with unexpected hospital admissions to critical care units occurring more frequently, leading to poorer patient outcomes. Some.... -
Automated early warning decision support to detect acute decompensation in the emergency department. P2
Detecting early signs of clinical decompensation, such as deviations in vital signs, is critical to reducing failure to rescue events among hospital patients. Research indicates that early warning alert scores based on clinical and physiological data predict risk of decompensation....
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Sooner is better: use of a real-time automated bedside dashboard improves sepsis careP3
Sepsis is the leading contributor of in-hospital morbidity and mortality. An estimated 750,000 patients are treated annually in the US for severe sepsis with mortality rates trending higher than 25%. Optimal outcomes for sepsis management utilize protocols for early detection....
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Improving compliance with low tidal volume/lung protective ventilation with utilization of on-time, bedside surveillance and early warning decision support systemA2
For mechanically ventilated (MV) patients with and without acute respiratory distress syndrome (ARDS), outcomes such as subsequent lung injury, length of stay, infections, and duration of MV are improved with timely utilization of low tidal volume (LTV)/lung protective ventilation. Despite....
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Acute Kidney Injury Reduction after Implementation of an ICU Visual Clinical Decision Support ToolA3
Analyzing and determining the extent of AKI is challenging. Using a visual clinical decision support tool with validated staging and recognition for AKI can help identify patients transitioning into different stages of injury severity.
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Utilization of an Innovative Decision Support Software System to Enhance Detection of Decompensating Patients A4
Patients requiring transfer from the medical wards to an intensive care unit (ICU) have increased morbidity and mortality compared to patients who are admitted to the ICU directly from the emergency department (ED). More specifically, patients requiring transfer from the....
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Electronically Generated Modified NEWS on the Hospital Floor and ED
The National Early Warning System Score (NEWS) is a reliable, validated tool to detect significant patient deterioration on the general floor and in emergency departments (ED). Studies of NEWS have largely been conducted using pen and paper, or simple software....
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Clinical Outcomes in Septic Patients after Implementing a Visual Clinical Decision Support System
Sepsis is a leading cause of death in hospitalized patients. Frequent sepsis screening coupled with early diagnosis and intervention is key to improving outcomes. Electronic health records (EHRs) store vast amounts of data, but accessing and visualizing clinically relevant data....
