Paramedic To Provider Consultation Challenges in the Emergency Department in Kazakhstan: An Online Survey

Ygiyeva, Diana; Pivina, Lyudmila; Messova, Assylzhan; Urazalina, Zhanar; Semenova, Yuliya; Dyussupov, Almas; Dyussupov, Altay; Белихина, Т И; Syzdykbayev, Marat; Batenova, Gulnara; Akhmetova, Ayaulym; Adams, Amber

doi:10.2147/oaem.s401331

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…This online platform enhances the accessibility and convenience of medical consultation, facilitating better dissemination of medical knowledge and health information. Additionally, online medical consultation can alleviate the burden on traditional healthcare institutions, especially at the grassroots level [2]. It helps redirect some patients, allowing hospitals to concentrate on those who require physical visits, thus improving the allocation efficiency of medical resources.…”

Section: Introductionmentioning

confidence: 99%

Empowering Medical Data Analysis: An Advanced Deep Fusion Model for Sorting Medicine Document

Bo,

Shanshan,

Qing

et al. 2024

IEEE Access

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To enhance the accuracy of medical document classification, we propose an advanced deep fusion model for sorting medicine document. Specifically, we enhance text representation using the bidirectional encoder representation from transformers (BERT). BERT is a bidirectional model that considers context information in input sequences. This capability is particularly valuable for medical document, as medical information often requires understanding in a global context, such as diagnoses, medical history, and treatment plans. Furthermore, BERT can learn the semantics of words and phrases, comprehending the different meanings of the same word in distinct contexts, which is crucial for representing medical document. For example, In the context of cardiology, stroke often refers to a cerebrovascular accident, which is a condition where blood flow to the brain is disrupted, leading to neurological impairment. This type of stroke is related to the brain and is a significant concern in the field of cardiology due to its impact on the circulatory system. In dermatology, stroke might be used to refer to a type of skin condition, such as stroking the skin. However, this context is less common and not related to the cerebrovascular meaning. Subsequently, we employ both Convolutional Neural Network (ConvNet) and Bidirectional Long Short Term Memory (Bi-LSTM) to extract local features and global long-term dependencies, respectively. Their outputs are then fused to extract useful document features at multiple levels, effectively capturing the documental structure. The proposed deep fusion model leverages the complementary strengths of these components, enhancing the model's generalization ability and mitigating the risk of over-fitting. Ultimately, by comparing our approach with state-of-the-art methods in medical document classification, we demonstrate the effectiveness of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Empowering Medical Data Analysis: An Advanced Deep Fusion Model for Sorting Medicine Document

Bo,

Shanshan,

Qing

et al. 2024

IEEE Access

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Systematic review: Comparative analysis of international approaches to the organisation of emergency departments at the primary health care level

Sharmenova,

Sulaimankulov,

Maltabarova

2024

Salud, Ciencia y Tecnología

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The study aims to review the different systems of emergency care in North American, European, and Pan-Asian countries and to perform a comparative analysis of these modes of organisation. The emergency care systems of Kyrgyzstan, Germany, the United States of America, the United Kingdom, South Korea, Turkey and the United Arab Emirates were analysed, and it was determined that the Anglo-American and Franco-German model of emergency care is currently dominant in the world. The main difference with the system built in Kazakhstan is that ambulance brigades in the above countries consist of nursing staff, in these countries there is a double triage of patients at the stage of call and the stage of distribution of patients in the emergency department, and the last main difference is that the emergency department in Kazakhstan is organised based on an emergency room and does not include intensive care, dynamic observation, there is no diagnostic unit and palliative care unit. Another difference is the training of non-medical services in the comparison countries, such as police and firefighters, who have the necessary basic skills to provide emergency care. This study will help in the future to use foreign experience in the organisation of emergency care in the Republic of Kazakhstan, which may have a positive impact on the quality and speed of emergency care

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Paramedic To Provider Consultation Challenges in the Emergency Department in Kazakhstan: An Online Survey

Cited by 2 publications

References 18 publications

Empowering Medical Data Analysis: An Advanced Deep Fusion Model for Sorting Medicine Document

Empowering Medical Data Analysis: An Advanced Deep Fusion Model for Sorting Medicine Document

Systematic review: Comparative analysis of international approaches to the organisation of emergency departments at the primary health care level

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