Model-based estimation of negative inspiratory driving pressure in patients receiving invasive NAVA mechanical ventilation

JL Knopp, JG Chase, KT Kim, GM Shaw - Computer Methods and Programs …, 2021 - Elsevier
Background Optimisation of mechanical ventilation (MV) and weaning requires insight into
underlying patient breathing effort. Current identifiable models effectively describe lung …

Network data acquisition and monitoring system for intensive care mechanical ventilation treatment

QA Ng, YS Chiew, X Wang, CP Tan, MBM Nor… - Ieee …, 2021 - ieeexplore.ieee.org
The rise of model-based and machine learning methods have created increasingly realistic
opportunities to implement personalized, patient-specific mechanical ventilation (MV) in the …

Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions

AH Morris, B Stagg, M Lanspa, J Orme… - Journal of the …, 2021 - academic.oup.com
Clinical decision-making is based on knowledge, expertise, and authority, with clinicians
approving almost every intervention—the starting point for delivery of “All the right care, but …

[HTML][HTML] Clinical practice, decision-making, and use of clinical decision support systems in invasive mechanical ventilation: a narrative review

M Murali, M Ni, DS Karbing, SE Rees… - British Journal of …, 2024 - Elsevier
Invasive mechanical ventilation is a key supportive therapy for patients on intensive care.
There is increasing emphasis on personalised ventilation strategies. Clinical decision …

Current situation and needs analysis of medical staff first aid ability in China: a cross-sectional study

J Wang, C Lv, X Song, Y Hu, W Hao, L He… - BMC Emergency …, 2023 - Springer
Objectives We aim to understand the current situation of the first aid ability and training
needs of Chinese medical personnel to provide a scientific basis for formulating the contents …

Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model

C Zhou, JG Chase, Q Sun, J Knopp, MH Tawhai… - BioMedical Engineering …, 2022 - Springer
Background Patient-specific lung mechanics during mechanical ventilation (MV) can be
identified from measured waveforms of fully ventilated, sedated patients. However …

Multilayer perceptron neural network model development for mechanical ventilator parameters prediction by real time system learning

S Radhakrishnan, SG Nair, J Isaac - Biomedical signal processing and …, 2022 - Elsevier
Background and objective In pandemic situations like COVID 19, real time monitoring of
patient condition and continuous delivery of inspired oxygen can be made possible only …

Automated computation of therapies using failure mode and effects analysis in the medical domain

M Luttermann, E Baake, J Bouchagiar, B Gebel… - KI-Künstliche …, 2024 - Springer
Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse
potential failures and their effects in a system or process. The FMEA approach, however …

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy

AH Morris, C Horvat, B Stagg… - Journal of the …, 2023 - academic.oup.com
How to deliver best care in various clinical settings remains a vexing problem. All pertinent
healthcare-related questions have not, cannot, and will not be addressable with costly time …

An open-loop, physiological model based decision support system can reduce pressure support while acting to preserve respiratory muscle function

S Spadaro, DS Karbing, F Dalla Corte, T Mauri… - Journal of Critical …, 2018 - Elsevier
Purpose To assess whether a clinical decision support system (CDSS) suggests PS and FIO
2 maintaining appropriate breathing effort, and minimizing FIO 2. Materials Prospective …