Vital signs and early warning score monitoring: perceptions of clinical staff about current practices and introducing an electronic rapid response system

Ullah, Ehsan; Baig, Mirza Mansoor; GholamHosseini, Hamid; Lu, Jun

doi:10.1016/j.heliyon.2022.e11182

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…In line with Nielsen, in 2019 Haegdorens reported that adding RRS to the implementation of NEWS can improve patient observation and reduce mortality [6]. Even the addition of RRS will be an additional burden for hospitals, for complex hospitals with sufficient resources, the addition of RRS is one step worth considering [17]. However, for hospitals with limited human resources, I-EWS can be an option.…”

Section: News and Its Variationsmentioning

confidence: 87%

A Systematic Review: Early Warning System for Hospital Wards

Sasmito,

Aljufri,

Mulyati

et al. 2024

Int Jou of PHE

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Most of the unexpected events occur in the hospital wards. An Early Warning System (EWS) is a system created to identify worsening patients outside the Intensive Care Unit (ICU). EWS is one of the requirements that must be met to get hospital accreditation. Hospitals have to choose the appropriate EWS to get optimal outcomes. This study aims to describe some of the EWS in the wards that have been researched and developed, as well as their performance in predicting severe adverse events (SAE). This study is a literature review design, conducting a systematic review by selecting relevant articles on Pub Med and Science Direct using the keyword "Early Warning Systems" in the 2018-2023 period. Out of 269 articles, only 12 articles that met the criteria. The selected articles are then systematically reviewed and analyzed. Based on the extraction results of 12 articles, 9 EWS were grouped into National Early Warning Score (NEWS) and its variants, Modified Early Warning Score (MEWS) and its variants, and EWS integrated with Electronic Medical Record (EMR). In choosing an EWS, hospitals must consider the complexity of the cases being managed and the capabilities of existing resources. The recommended EWS in hospital wards with limited resources is weighted EWS or EWS with combinations, such as NEWS and MEWS with variants. Meanwhile, hospitals that have used EMR can choose EWS integrated with EMR to increase their predictive value for SAE, as well as improve protocol compliance.

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Section: News and Its Variationsmentioning

confidence: 87%

A Systematic Review: Early Warning System for Hospital Wards

Sasmito,

Aljufri,

Mulyati

et al. 2024

Int Jou of PHE

View full text Add to dashboard Cite

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NURSE-LED proactive rounding and automatic early-warning score systems to prevent resuscitation incidences among Adults in ward-based Hospitalised patients

Noguchi

Yokota

Kimura

et al. 2023

Heliyon

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Generative AI in Improving Personalized Patient Care Plans: Opportunities and Barriers Towards Its Wider Adoption

Baig,

Hobson,

GholamHosseini

et al. 2024

Applied Sciences

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The main aim of this study is to investigate the opportunities, challenges, and barriers in implementing generative artificial intelligence (Gen AI) in personalized patient care plans (PPCPs). This systematic review paper provides a comprehensive analysis of the current state, potential applications, and opportunities of Gen AI in patient care settings. This review aims to serve as a key resource for various stakeholders such as researchers, medical professionals, and data governance. We adopted the PRISMA review methodology and screened a total of 247 articles. After considering the eligibility and selection criteria, we selected 13 articles published between 2021 and 2024 (inclusive). The selection criteria were based on the inclusion of studies that report on the opportunities and challenges in improving PPCPs using Gen AI. We found that a holistic approach is required involving strategy, communications, integrations, and collaboration between AI developers, healthcare professionals, regulatory bodies, and patients. Developing frameworks that prioritize ethical considerations, patient privacy, and model transparency is crucial for the responsible deployment of Gen AI in healthcare. Balancing these opportunities and challenges requires collaboration between wider stakeholders to create a robust framework that maximizes the benefits of Gen AI in healthcare while addressing the key challenges and barriers such as explainability of the models, validation, regulation, and privacy integration with the existing clinical workflows.

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Vital signs and early warning score monitoring: perceptions of clinical staff about current practices and introducing an electronic rapid response system

Cited by 3 publications

References 29 publications

A Systematic Review: Early Warning System for Hospital Wards

A Systematic Review: Early Warning System for Hospital Wards

NURSE-LED proactive rounding and automatic early-warning score systems to prevent resuscitation incidences among Adults in ward-based Hospitalised patients

Generative AI in Improving Personalized Patient Care Plans: Opportunities and Barriers Towards Its Wider Adoption

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