Tag: technology
Improving Patient Outcomes: Sepsis Protocols and Rapid Host Response Technologies
Patients come into the emergency department (ED) with symptoms, not diagnoses. That’s when time is of the essence. Clinicians must quickly triage patients and establish an appropriate care pathway to obtain the best possible... read more
ECMO in the Adult Patient (Core Critical Care)
Extracorporeal membrane oxygenation (ECMO) is developing rapidly, and is now part of the toolkit for the management of all patients with severe respiratory or cardiac failure. Clinicians of all disciplines are in need of... read more
Army Scientists’ Technique for Early Sepsis Detection in Burn Patients Submitted to FDA
A new invention developed at the U.S. Army Medical Research and Development Command uses an artificial intelligence machine learning algorithm to identify whether burn patients are at risk of experiencing life-threatening... read more
Sepsis Mortality Prediction in ICU Patients Using Machine Learning
This study has achieved significant advancements in predicting sepsis outcomes by utilizing advanced machine learning techniques and sophisticated data preprocessing methods. These methods include data grouping and effective... read more
AI to Predicting Mortality Risk in ICU Patients with AKI
To address the limitations of early acute kidney injury (AKI) prediction, researchers have increasingly turned to machine learning methods. However, the success of these models hinges on the selection of relevant features.... read more
Scientific Study Validates Usability of Post-ICU Digital Diary for Families of ICU Patients
In a groundbreaking pilot study, "The usability of a digital diary from the perspectives of intensive care patients’ relatives", researchers have unequivocally confirmed the practicality and effectiveness of Post-ICU for... read more
Ground-breaking New AI Technology for Severe Sepsis Rapid Identification
ASEP Medical Holdings Inc. announced the ground-breaking use of artificial intelligence (AI) to rapidly identify infections at increased risk of severe sepsis. The method was developed by the Hancock Lab, under the guidance... read more
Infusion Management Software Can Seamlessly Connect Thousands Pumps Across Facilities
A newly-launched next-generation infusion management platform provides organizations with a blend of real-time views and retrospective reporting capabilities, enhancing the understanding of their infusion pump fleet and associated... read more
High Speed Blood Flow Measurements Enabled by LW-iDCS
In this work we have demonstrated the development of long wavelength, interferometric diffuse correlation spectroscopy. Using a fiber optic probe with collocated detection fibers, we were able to directly compare measured... read more
Deep Learning-based Electrocardiographic Screening for Chronic Kidney Disease
Undiagnosed chronic kidney disease (CKD) is a common and usually asymptomatic disorder that causes a high burden of morbidity and early mortality worldwide. We developed a deep learning model for CKD screening from routinely... read more
Post-discharge Care Using Telemedicine: Pre-pandemic vs. Pandemic Care
Expansion of virtual post-discharge visits to include all patients and telephone calls did not negatively impact rates of 30-day post-discharge hospital encounters. Offering tele-health options for post-discharge follow-up... read more
Predicting Readmission or Death After Discharge From the ICU with Machine Learning
In this era of expanding availability of ML models, external validation and retraining are key steps to consider before applying machine learning (ML) models to new settings. Clinicians and decision-makers should take... read more
Intracranial Pressure: Current Perspectives on Physiology and Monitoring
Intracranial pressure (ICP) monitoring is now viewed as integral to the clinical care of many life-threatening brain insults, such as severe traumatic brain injury, subarachnoid hemorrhage, and malignant stroke. It serves... read more
Adapting FDA Regulation for AI-Powered Medical Devices
To keep up with the advancement of medical technology, the FDA has been working on a digital health pre-certification program that would allow the agency to pre-approve trusted manufacturers to update their software products.... read more
Algorithm that Detects Sepsis Cut Deaths by 18%
Hospital patients are at risk of a number of life-threatening complications, especially sepsis—a condition that can kill within hours and contributes to one out of three in-hospital deaths in the U.S. Overworked doctors... read more
Machine Learning Model Validation for Prediction of Potential PICU Transfer
We developed and externally validated a novel machine learning model that identifies ICU transfers in hospitalized children more accurately than current tools. Our model enables early detection of children at risk for... read more
Patients Monitored Using Wearable Monitors Experienced Fewer Unplanned ICU Admissions
Implementation of continuous monitoring of patient vital signs using wearable monitoring technology linked wirelessly to hospital systems was associated with a reduction in unplanned ICU admissions and rapid response team... read more
