AIMC Topic: Patients' Rooms

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Technology Integration to Support Nurses in an "Inpatient Room of the Future": Qualitative Analysis.

Journal of medical Internet research Jun 16, 2025
BACKGROUND: The design and integration of technology within inpatient hospital rooms has a critical role in supporting nursing workflows, enhancing provider experience, and improving patient care. As health care technology evolves, there is a need to...
Humans Focus Groups Nursing Staff, Hospital Patients' Rooms Qualitative Research Inpatients Workflow
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Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards.

Scientific reports Feb 27, 2024
Early detection of deteriorating patients is important to prevent life-threatening events and improve clinical outcomes. Efforts have been made to detect or prevent major events such as cardiopulmonary resuscitation, but previously developed tools ar...
ROC Curve Patients' Rooms Deep Learning Humans Adolescent Female Retrospective Studies Child Hospitalization Intensive Care Units Male
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External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study.

Critical care medicine Dec 20, 2023
OBJECTIVES: The limitations of current early warning scores have prompted the development of deep learning-based systems, such as deep learning-based cardiac arrest risk management systems (DeepCARS). Unfortunately, in South Korea, only two instituti...
Humans Retrospective Studies Adult Hospitals, University Deep Learning Heart Arrest Risk Management Patients' Rooms
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Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.

Critical care (London, England) Sep 5, 2023
BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed t...
Adult Deep Learning Cohort Studies Prospective Studies Retrospective Studies Intensive Care Units Patients' Rooms Risk Management Heart Arrest Hospitals, Teaching Humans
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Feasibility of ultraviolet light-emitting diode irradiation robot for terminal decontamination of coronavirus disease 2019 (COVID-19) patient rooms.

Infection control and hospital epidemiology Mar 9, 2021
OBJECTIVE: To investigate the feasibility of using an ultraviolet light-emitting diode (UV LED) robot for the terminal decontamination of coronavirus disease 2019 (COVID-19) patient rooms.
RNA, Viral Feasibility Studies Ultraviolet Rays Decontamination Patients' Rooms SARS-CoV-2 Robotics Disinfection Humans COVID-19
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Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.

Internal and emergency medicine Jan 2, 2020
Length of stay (LOS) and discharge destination predictions are key parts of the discharge planning process for general medical hospital inpatients. It is possible that machine learning, using natural language processing, may be able to assist with ac...
Humans Forecasting Middle Aged Aged Retrospective Studies Length of Stay Deep Learning Aged, 80 and over Female Natural Language Processing Male Pilot Projects Hospitalization Patients' Rooms
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Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ open Jan 26, 2018
OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specifi...
Vital Signs San Francisco Boston Patients' Rooms Shock, Septic Female Area Under Curve Humans Aged Emergency Service, Hospital Machine Learning Young Adult Prognosis Adolescent Severity of Illness Index Algorithms Retrospective Studies Adult Hospital Mortality Length of Stay Databases, Factual ROC Curve Intensive Care Units Male Sepsis Middle Aged
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Deployment of a touchless ultraviolet light robot for terminal room disinfection: The importance of audit and feedback.

American journal of infection control Nov 3, 2017
Touchless ultraviolet disinfection (UVD) devices effectively reduce the bioburden of epidemiologically relevant pathogens, including Clostridium difficile. During a 25-month implementation period, UVD devices were deployed facilitywide for the termin...
Ultraviolet Rays Patients' Rooms Bacteria Humans Time Factors Robotics Disinfection
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