Client studies have been produced and published by peer-reviewed clinical journals.
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....
For mechanically ventilated (MV) patients with and without acute respiratory distress syndrome (ARDS), outcomes such as mortality, subsequent lung injury, length of stay, infections, and duration of MV are improved with timely utilization of low tidal volume (LTV)/lung protective ventilation.....
Acute kidney injury (AKI) is a secondary insult in critically illness associated with an increase in morbidity and mortality. Analyzing and determining the extent of AKI is challenging. Using a visual clinical decision support tool with validated staging and recognition....
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....
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....
Implementing electronic health records (EHRs) has not improved clinical outcomes. Actionable clinical data is not readily available or visible in conventional surveillance systems. We hypothesized that implementing an on time bedside clinical visualization system would decrease hospital mortality.
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....
The Decisio Health Patient Dashboard (Decisio Insight) 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. The Decisio Health Patient Dashboard (Decisio Insight) is intended for use by clinicians in healthcare facilities.
The Decisio Health Patient Dashboard (“Patient Dashboard”) is a data aggregation and visualization software device. The Patient Dashboard is designed to display patient information, facility specific care protocols, and visual cues to care providers on a single display device. The Patient Dashboard is configured to receive patient data through the facility’s Electronic Medical Record system and display information to the user on a patient monitor, computer, or a mobile device. Data received through the EMR includes input from various sources within the hospital, including manually entered data into the EMR (e.g., laboratory data), vital signs monitors, ventilators, IV pumps, and Foley catheter devices. The data the Patient Dashboard receives are then stored, filtered, and displayed through the Patient Dashboard web browser application. The Patient Dashboard is customized to individual facility’s care as it is programmed with the facility’s treatment protocols, which dictate the information that is displayed relative to those protocols. The device performs automated calculations on patient data collected by third party devices based on approved clinical protocols at patient care facilities.
Client Published Papers:
P1. Morgan CK et.al. Continuous Cloud-Based Early Warning Score Surveillance to Improve the Safety of Acutely Ill Hospitalized Patients; J Healthc Qual. 2021.
P2. Howard C, et. al. Implementation of automated early warning decision support to detect acute decompensation in the emergency department improves hospital mortality. BMJ Open Qual. 2022.
P3. Jung AD, et al. Sooner is better: use of a real-time automated bedside dashboard improves sepsis care. Journal of Surgical Research. 2018.
Client Published Abstracts:
A1. Computerized Clinical Decision Support System Improves Door-To-Needle Time for Acute Ischemic Stroke.
A2. Howard C et. al. Improving Compliance with Low Tidal Volume/Lung Protective Ventilation with Utilization of a Real-Time, Bedside Surveillance and Early Warning Decision Support System; Abstract CHEST. San Antonio, TX 2018.
A3. Baker J et.al. Acute Kidney Injury Reduction after Implementation of an ICU Visual Clinical Decision Support Tool. Poster American Surgical Association; Napa Valley, CA 2018.
Other Sources:
1. Jones D et. al. U of Melbourne, ISRRS. 2019
2. Brown A et. al. Recognition of the critically ill patient and escalation of therapy. Anesthesia & Intensive Care Medicine 2019.
3. AHA, ACLS Provider Handbook, 2015
5. Shafi S, et. al. Compliance with Recommended Care at Trauma Centers: Association with Patient Outcomes. J Am Coll Surg 2014.
6. Duclos G, et. al. Implementation of an electronic checklist in the ICU: Association with improved outcomes. Anaesth Crit Care Pain Med 2018.
15. Modern Healthcare, Sepsis treatment costs shoot up $1.5 billion for hospitals over three years, March 2019
17. Key 2008 CMQCC Hemorrhage Task Force Survey Findings
18. Creanga A A, Syverson C, Seed K, Callaghan W M. Pregnancy-related mortality in the United States, 2011-2013. Obstet Gynecol. 2017;130(02):366–373