A large-scale clinical validation of an integrated monitoring system in the emergency department
We consider an integrated patient monitoring system, combining electronic patient records
with high-rate acquisition of patient physiological data. There remain many challenges in …
with high-rate acquisition of patient physiological data. There remain many challenges in …
From compute to care: lessons learned from deploying an early warning system into clinical practice
C Pou-Prom, J Murray, S Kuzulugil… - Frontiers in Digital …, 2022 - frontiersin.org
Background Deploying safe and effective machine learning models is essential to realize
the promise of artificial intelligence for improved healthcare. Yet, there remains a large gap …
the promise of artificial intelligence for improved healthcare. Yet, there remains a large gap …
Development and validation of a portable platform for deploying decision-support algorithms in prehospital settings
AT Reisner, MY Khitrov, L Chen, A Blood… - Applied Clinical …, 2013 - thieme-connect.com
Background: Advanced decision-support capabilities for prehospital trauma care may prove
effective at improving patient care. Such functionality would be possible if an analysis …
effective at improving patient care. Such functionality would be possible if an analysis …
[HTML][HTML] Toward a two-tier clinical warning system for hospitalized patients
Clinical study has found early detection and intervention to be essential for preventing
clinical deterioration in patients at general hospital units. In this paper, we envision a two …
clinical deterioration in patients at general hospital units. In this paper, we envision a two …
Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges
S Sneha, U Varshney - Decision Support Systems, 2009 - Elsevier
Healthcare costs in the US are approximately 15% of GNP and are anticipated to reach 17%
of GNP in the near future. Management of chronic diseases via technology based ubiquitous …
of GNP in the near future. Management of chronic diseases via technology based ubiquitous …
A sensor-based data analytics for patient monitoring in connected healthcare applications
Nowadays, keeping a strong and good health is one of the main concern of the general
public or governments. The Internet of Things (IoT) has been emerged as an efficient …
public or governments. The Internet of Things (IoT) has been emerged as an efficient …
Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors
The majority of patients in the hospital are ambulatory and would benefit significantly from
predictive and personalized monitoring systems. Such patients are well suited to having …
predictive and personalized monitoring systems. Such patients are well suited to having …
Applying machine learning to continuously monitored physiological data
The use of machine learning (ML) in healthcare has enormous potential for improving
disease detection, clinical decision support, and workflow efficiencies. In this commentary …
disease detection, clinical decision support, and workflow efficiencies. In this commentary …
Enhancing the early warning score system using data confidence
Abstract Early Warning Score (EWS) systems are utilized in hospitals by health-care
professionals to interpret vital signals of patients. These scores are used to measure and …
professionals to interpret vital signals of patients. These scores are used to measure and …
Machine learning for real-time aggregated prediction of hospital admission for emergency patients
Abstract Machine learning for hospital operations is under-studied. We present a prediction
pipeline that uses live electronic health-records for patients in a UK teaching hospital's …
pipeline that uses live electronic health-records for patients in a UK teaching hospital's …