AI-based smart healthcare consortium management: An overview of the Dapeng Medical Group initiative in Shenzhen

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una visión general de la iniciativa del Grupo Médico Dapeng de Shenzhen" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1485 "Ancho" => 2925 "Tamanyo" => 568203 ] ] "descripcion" => array:1 [ "en" => "Conceptual framework of Dapeng Medical Group in Shenzhen city." ] ] ] "textoCompleto" => "The Primary Care Group actively promotes the digitization and establishment of intelligent primary care systems, focusing on developing a robust information infrastructure and enhancing patient experiences through intelligent scheduling and efficient resource management. The initiative also emphasizes the integration and sharing of medical resources through a unified medical information management system.The rise of information technology and artificial intelligence has provided strong support for the development of smart healthcare consortia. The Dapeng Medical Group in Shenzhen fully recognizes this trend and actively promotes informatization and the establishment of smart healthcare consortia. In the initiative practice, they first focused on investing efforts in constructing an information infrastructure, establishing a fast and stable network system, cloud computing platform, and data center, which laid a solid foundation for subsequent smart healthcare applications.Initiative overviewConstruction backgroundThe Primary Care Group, a comprehensive healthcare institution, promotes smart primary care construction to enhance healthcare quality, safety, and management levels, catering to patient needs. The Dapeng Medical Group in Shenzhen (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>) is a modern comprehensive medical institution integrating medical treatment, teaching, research, rehabilitation, preventive care, and health education. As one of Shenzhen's medical institutions with the most key disciplines at the national, provincial, and municipal levels, the medical group attaches great importance to informatization and optimizes business processes through active promotion of smart healthcare consortium construction to enhance medical quality, safety, and management levels, meeting patient needs.<elsevierMultimedia ident="fig0005"></elsevierMultimedia>Construction objectivesThe goal of the Dapeng Medical Group's initiative on smart healthcare consortium management is to conduct top-level design for comprehensive hospital informatization based on international and domestic standards, utilizing advanced technologies such as cloud computing, big data, the Internet of Things, mobile Internet, blockchain, and artificial intelligence to build an internationally advanced smart healthcare consortium. The initiative aims to improve the scientific management level and medical service quality of the healthcare consortium to provide more efficient and high-quality services to patients. Additionally, the initiative aims to align with domestic and international medical service markets, achieve sustainable development of the healthcare consortium, and promote the construction of a patient-centered, electronically medical-record-focused intelligent healthcare consortium boutique initiative. The overall goal is to strive to achieve an “advanced model, optimized process, comprehensive management, strong support, and efficient operation” boutique initiative.Implementation and achievements of the initiativeApplication of artificial intelligence technology in primary care managementAI technology assists in intelligent data analysis and processing, optimizing decision-making processes, and improving management efficiency. It also plays a vital role in clinical decision-making, assisting doctors in making accurate diagnoses and treatment decisions, and improving medical quality.Impact of smart primary care construction on consortium managementThe application of information technology optimizes business processes in the primary care consortium, enhancing communication efficiency and improving work efficiency. It also facilitates better collaboration among various departments within the consortium and positively impacts medical service quality and patient satisfaction.Conclusion and outlookThe Primary Care Group's initiative on smart primary care management has provided essential technical support for consortium management and the improvement of medical service quality. However, smart primary care consortium construction still faces challenges in technology, security, privacy, etc., requiring further research and exploration.In the future, the Primary Care Group will continue to explore and practice, utilizing AI technology to promote primary care informatization construction, enhance medical service quality, and provide better medical services to patients.Ethical considerationsOur study did not involve human or animal subjects, hence no ethical review was required. Nonetheless, we ensured research integrity and transparency, adhering to international standards.FundingThis work was supported by the Science and Technology Innovation Commission of Shenzhen (Grant No. JCYJ20220530151209022), the National Institute of Hospital Administration (Grant No. YLZLXZ22G020).Conflicts of interestThe authors declare that they have no conflicts of interest to report regarding the present study." 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Letter to the Editor

AI-based smart healthcare consortium management: An overview of the Dapeng Medical Group initiative in Shenzhen

Gestión inteligente de consorcios sanitarios basada en IA: una visión general de la iniciativa del Grupo Médico Dapeng de Shenzhen

Xiaoxiao Quana,b, Wenju Xiongb, Junjie Panb, Lina Shangguana,

Corresponding author

sgln@whu.edu.cn

Corresponding author.

a Wuhan University, Wuhan, China

b Shenzhen Second People's Hospital (The First Affiliated Hospital of Shenzhen University), Shenzhen, China

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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">The Primary Care Group actively promotes the digitization and establishment of intelligent primary care systems&#44; focusing on developing a robust information infrastructure and enhancing patient experiences through intelligent scheduling and efficient resource management&#46; The initiative also emphasizes the integration and sharing of medical resources through a unified medical information management system&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">The rise of information technology and artificial intelligence has provided strong support for the development of smart healthcare consortia&#46; The Dapeng Medical Group in Shenzhen fully recognizes this trend and actively promotes informatization and the establishment of smart healthcare consortia&#46; In the initiative practice&#44; they first focused on investing efforts in constructing an information infrastructure&#44; establishing a fast and stable network system&#44; cloud computing platform&#44; and data center&#44; which laid a solid foundation for subsequent smart healthcare applications&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Initiative overview</span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Construction background</span><p id="par0015" class="elsevierStylePara elsevierViewall">The Primary Care Group&#44; a comprehensive healthcare institution&#44; promotes smart primary care construction to enhance healthcare quality&#44; safety&#44; and management levels&#44; catering to patient needs&#46; The Dapeng Medical Group in Shenzhen &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41; is a modern comprehensive medical institution integrating medical treatment&#44; teaching&#44; research&#44; rehabilitation&#44; preventive care&#44; and health education&#46; As one of Shenzhen&#39;s medical institutions with the most key disciplines at the national&#44; provincial&#44; and municipal levels&#44; the medical group attaches great importance to informatization and optimizes business processes through active promotion of smart healthcare consortium construction to enhance medical quality&#44; safety&#44; and management levels&#44; meeting patient needs&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Construction objectives</span><p id="par0020" class="elsevierStylePara elsevierViewall">The goal of the Dapeng Medical Group&#39;s initiative on smart healthcare consortium management is to conduct top-level design for comprehensive hospital informatization based on international and domestic standards&#44; utilizing advanced technologies such as cloud computing&#44; big data&#44; the Internet of Things&#44; mobile Internet&#44; blockchain&#44; and artificial intelligence to build an internationally advanced smart healthcare consortium&#46; The initiative aims to improve the scientific management level and medical service quality of the healthcare consortium to provide more efficient and high-quality services to patients&#46; Additionally&#44; the initiative aims to align with domestic and international medical service markets&#44; achieve sustainable development of the healthcare consortium&#44; and promote the construction of a patient-centered&#44; electronically medical-record-focused intelligent healthcare consortium boutique initiative&#46; The overall goal is to strive to achieve an &#8220;advanced model&#44; optimized process&#44; comprehensive management&#44; strong support&#44; and efficient operation&#8221; boutique initiative&#46;</p></span></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Implementation and achievements of the initiative</span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Application of artificial intelligence technology in primary care management</span><p id="par0025" class="elsevierStylePara elsevierViewall">AI technology assists in intelligent data analysis and processing&#44; optimizing decision-making processes&#44; and improving management efficiency&#46; It also plays a vital role in clinical decision-making&#44; assisting doctors in making accurate diagnoses and treatment decisions&#44; and improving medical quality&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Impact of smart primary care construction on consortium management</span><p id="par0030" class="elsevierStylePara elsevierViewall">The application of information technology optimizes business processes in the primary care consortium&#44; enhancing communication efficiency and improving work efficiency&#46; It also facilitates better collaboration among various departments within the consortium and positively impacts medical service quality and patient satisfaction&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Conclusion and outlook</span><p id="par0035" class="elsevierStylePara elsevierViewall">The Primary Care Group&#39;s initiative on smart primary care management has provided essential technical support for consortium management and the improvement of medical service quality&#46; However&#44; smart primary care consortium construction still faces challenges in technology&#44; security&#44; privacy&#44; etc&#46;&#44; requiring further research and exploration&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">In the future&#44; the Primary Care Group will continue to explore and practice&#44; utilizing AI technology to promote primary care informatization construction&#44; enhance medical service quality&#44; and provide better medical services to patients&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Ethical considerations</span><p id="par0045" class="elsevierStylePara elsevierViewall">Our study did not involve human or animal subjects&#44; hence no ethical review was required&#46; Nonetheless&#44; we ensured research integrity and transparency&#44; adhering to international standards&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Funding</span><p id="par0050" class="elsevierStylePara elsevierViewall">This work was supported by the <span class="elsevierStyleGrantSponsor" id="gs1">Science and Technology Innovation Commission of Shenzhen</span> &#40;Grant No&#46; <span class="elsevierStyleGrantNumber" refid="gs1">JCYJ20220530151209022</span>&#41;&#44; the <span class="elsevierStyleGrantSponsor" id="gs2">National Institute of Hospital Administration</span> &#40;Grant No&#46; <span class="elsevierStyleGrantNumber" refid="gs2">YLZLXZ22G020</span>&#41;&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conflicts of interest</span><p id="par0055" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest to report regarding the present study&#46;</p></span></span>"
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