Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center

Jian Yao; Mingxiao Hou; Limin Liu; Shuai Wang; Chunjian Shen; Yanhui Cui

doi:doi:10.11648/j.ajcem.20221003.13

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Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center

Jian Yao, Mingxiao Hou, Limin Liu, Shuai Wang, Chunjian Shen, Yanhui Cui

Published in American Journal of Clinical and Experimental Medicine (Volume 10, Issue 3)

Received: 24 May 2022 Published: 26 May 2022

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Abstract

The establishment of a professional big data cloud platform with the chest pain center as the core can not only collect, process and analyze various types of rapidly changing mass data in the clinical work of the chest pain center in real time, but also provide personalized services to individuals and connect individuals, hospitals and health management institutions through the mobile Internet channel. This paper summarizes and proposes matters that should be noted in building this platform: The design should focus on the actual business operation and management requirements and meet the infrastructure requirements of the big data cloud platform. It should be considered as a whole from the regional level to the hospital level, and the architecture design and standards should be considered vertically and horizontally; It is recommended to unify patient identification numbers and to be compatible with existing data systems. At the initial stage of the construction of the cloud platform, a tertiary hospital should be the core, and all kinds of medical resources such as hospitals, nursing institutions, nursing homes and pharmacies at all levels should be gradually opened. The functional integration design strategy of the chest pain center workstation should be integrated with the electronic medical record system as the core, making full use of the original PACS system and equipment of the hospital to automatically collect time trajectory and examination data of the whole process of patient's medical treatment. Meet the hospital's quality control and management needs of the platform. The ultimate goal is to reduce the mortality of patients with chest pain.

Published in	American Journal of Clinical and Experimental Medicine (Volume 10, Issue 3)
DOI	10.11648/j.ajcem.20221003.13
Page(s)	79-82
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Chest Pain Center, Big Data, Cloud Platform, Design

References

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[8]	Chen Hao, Liu Jian, Zhou Weimin et al. Construction and practice of regional collaborative chest pain relief network system. China Hospital Management, 2013, (2): 28-30.
[9]	Gehring H, Rackebrandt K, Imhoff M. E-Health und die Realität – was sehen wir heute schon in der Klinik? [E-Health and reality - what are we facing in patient care?]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2018 Mar; 61 (3): 252-262. German. doi: 10.1007/s00103-018-2690-6. PMID: 29372263.
[10]	Zaboli A, Ausserhofer D, Sibilio S, Toccolini E, Bonora A, Giudiceandrea A, Rella E, Paulmichl R, Pfeifer N, Turcato G. Effect of the Emergency Department Assessment of Chest Pain Score on the Triage Performance in Patients With Chest Pain. Am J Cardiol. 2021 Dec 15; 161: 12-18.
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[13]	Chang I-C, Li Y-C, Wu T-Y, Yen DC. Electronic medical record quality and its impact on user satisfaction—healthcare providers’ point of view. Gov Inf Q. 2012; 29: 235–242.
[14]	Lei Jianbo. The core value of electronic medical records and clinical decision support. China Digital Medicine, 2008, 3 (3): 26-30.
[15]	Salleh MIM, Abdullah R, Zakaria N. Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers. BMC Med Inform Decis Mak. 2021 Feb 25; 21 (1): 75.

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APA Style

Jian Yao, Mingxiao Hou, Limin Liu, Shuai Wang, Chunjian Shen, et al. (2022). Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center. American Journal of Clinical and Experimental Medicine, 10(3), 79-82. https://doi.org/10.11648/j.ajcem.20221003.13

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ACS Style

Jian Yao; Mingxiao Hou; Limin Liu; Shuai Wang; Chunjian Shen, et al. Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center. Am. J. Clin. Exp. Med. 2022, 10(3), 79-82. doi: 10.11648/j.ajcem.20221003.13

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AMA Style

Jian Yao, Mingxiao Hou, Limin Liu, Shuai Wang, Chunjian Shen, et al. Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center. Am J Clin Exp Med. 2022;10(3):79-82. doi: 10.11648/j.ajcem.20221003.13

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@article{10.11648/j.ajcem.20221003.13,
  author = {Jian Yao and Mingxiao Hou and Limin Liu and Shuai Wang and Chunjian Shen and Yanhui Cui},
  title = {Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center},
  journal = {American Journal of Clinical and Experimental Medicine},
  volume = {10},
  number = {3},
  pages = {79-82},
  doi = {10.11648/j.ajcem.20221003.13},
  url = {https://doi.org/10.11648/j.ajcem.20221003.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20221003.13},
  abstract = {The establishment of a professional big data cloud platform with the chest pain center as the core can not only collect, process and analyze various types of rapidly changing mass data in the clinical work of the chest pain center in real time, but also provide personalized services to individuals and connect individuals, hospitals and health management institutions through the mobile Internet channel. This paper summarizes and proposes matters that should be noted in building this platform: The design should focus on the actual business operation and management requirements and meet the infrastructure requirements of the big data cloud platform. It should be considered as a whole from the regional level to the hospital level, and the architecture design and standards should be considered vertically and horizontally; It is recommended to unify patient identification numbers and to be compatible with existing data systems. At the initial stage of the construction of the cloud platform, a tertiary hospital should be the core, and all kinds of medical resources such as hospitals, nursing institutions, nursing homes and pharmacies at all levels should be gradually opened. The functional integration design strategy of the chest pain center workstation should be integrated with the electronic medical record system as the core, making full use of the original PACS system and equipment of the hospital to automatically collect time trajectory and examination data of the whole process of patient's medical treatment. Meet the hospital's quality control and management needs of the platform. The ultimate goal is to reduce the mortality of patients with chest pain.},
 year = {2022}
}

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TY  - JOUR
T1  - Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center
AU  - Jian Yao
AU  - Mingxiao Hou
AU  - Limin Liu
AU  - Shuai Wang
AU  - Chunjian Shen
AU  - Yanhui Cui
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PY  - 2022
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DO  - 10.11648/j.ajcem.20221003.13
T2  - American Journal of Clinical and Experimental Medicine
JF  - American Journal of Clinical and Experimental Medicine
JO  - American Journal of Clinical and Experimental Medicine
SP  - 79
EP  - 82
PB  - Science Publishing Group
SN  - 2330-8133
UR  - https://doi.org/10.11648/j.ajcem.20221003.13
AB  - The establishment of a professional big data cloud platform with the chest pain center as the core can not only collect, process and analyze various types of rapidly changing mass data in the clinical work of the chest pain center in real time, but also provide personalized services to individuals and connect individuals, hospitals and health management institutions through the mobile Internet channel. This paper summarizes and proposes matters that should be noted in building this platform: The design should focus on the actual business operation and management requirements and meet the infrastructure requirements of the big data cloud platform. It should be considered as a whole from the regional level to the hospital level, and the architecture design and standards should be considered vertically and horizontally; It is recommended to unify patient identification numbers and to be compatible with existing data systems. At the initial stage of the construction of the cloud platform, a tertiary hospital should be the core, and all kinds of medical resources such as hospitals, nursing institutions, nursing homes and pharmacies at all levels should be gradually opened. The functional integration design strategy of the chest pain center workstation should be integrated with the electronic medical record system as the core, making full use of the original PACS system and equipment of the hospital to automatically collect time trajectory and examination data of the whole process of patient's medical treatment. Meet the hospital's quality control and management needs of the platform. The ultimate goal is to reduce the mortality of patients with chest pain.
VL  - 10
IS  - 3
ER  -

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Author Information

Jian Yao

Department of Emergency, Second Affiliated Hospital of Shenyang Medical College, the Veterans General Hospital of Liaoning Province, Shenyang, China
Mingxiao Hou

Department of Cardiothoracic Surgery, Second Affiliated Hospital of Shenyang Medical College, the Veterans General Hospital of Liaoning Province, Shenyang, China
Limin Liu

Department of Cardiology, Second Affiliated Hospital of Shenyang Medical College, the Veterans General Hospital of Liaoning Province, Shenyang, China
Shuai Wang

Department of Cardiac Intensive Care Unit, Second Affiliated Hospital of Shenyang Medical College, the Veterans General Hospital of Liaoning Province, Shenyang, China
Chunjian Shen

Department of Cardiothoracic Surgery, Second Affiliated Hospital of Shenyang Medical College, the Veterans General Hospital of Liaoning Province, Shenyang, China
Yanhui Cui

Department of Emergency, Second Affiliated Hospital of Shenyang Medical College, the Veterans General Hospital of Liaoning Province, Shenyang, China

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APA Style

Jian Yao, Mingxiao Hou, Limin Liu, Shuai Wang, Chunjian Shen, et al. (2022). Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center. American Journal of Clinical and Experimental Medicine, 10(3), 79-82. https://doi.org/10.11648/j.ajcem.20221003.13

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ACS Style

Jian Yao; Mingxiao Hou; Limin Liu; Shuai Wang; Chunjian Shen, et al. Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center. Am. J. Clin. Exp. Med. 2022, 10(3), 79-82. doi: 10.11648/j.ajcem.20221003.13

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AMA Style

Jian Yao, Mingxiao Hou, Limin Liu, Shuai Wang, Chunjian Shen, et al. Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center. Am J Clin Exp Med. 2022;10(3):79-82. doi: 10.11648/j.ajcem.20221003.13

Copy | Download

@article{10.11648/j.ajcem.20221003.13,
  author = {Jian Yao and Mingxiao Hou and Limin Liu and Shuai Wang and Chunjian Shen and Yanhui Cui},
  title = {Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center},
  journal = {American Journal of Clinical and Experimental Medicine},
  volume = {10},
  number = {3},
  pages = {79-82},
  doi = {10.11648/j.ajcem.20221003.13},
  url = {https://doi.org/10.11648/j.ajcem.20221003.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20221003.13},
  abstract = {The establishment of a professional big data cloud platform with the chest pain center as the core can not only collect, process and analyze various types of rapidly changing mass data in the clinical work of the chest pain center in real time, but also provide personalized services to individuals and connect individuals, hospitals and health management institutions through the mobile Internet channel. This paper summarizes and proposes matters that should be noted in building this platform: The design should focus on the actual business operation and management requirements and meet the infrastructure requirements of the big data cloud platform. It should be considered as a whole from the regional level to the hospital level, and the architecture design and standards should be considered vertically and horizontally; It is recommended to unify patient identification numbers and to be compatible with existing data systems. At the initial stage of the construction of the cloud platform, a tertiary hospital should be the core, and all kinds of medical resources such as hospitals, nursing institutions, nursing homes and pharmacies at all levels should be gradually opened. The functional integration design strategy of the chest pain center workstation should be integrated with the electronic medical record system as the core, making full use of the original PACS system and equipment of the hospital to automatically collect time trajectory and examination data of the whole process of patient's medical treatment. Meet the hospital's quality control and management needs of the platform. The ultimate goal is to reduce the mortality of patients with chest pain.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Considerations on the Design Strategy of Professional Big Data Cloud Platform for Chest Pain Center
AU  - Jian Yao
AU  - Mingxiao Hou
AU  - Limin Liu
AU  - Shuai Wang
AU  - Chunjian Shen
AU  - Yanhui Cui
Y1  - 2022/05/26
PY  - 2022
N1  - https://doi.org/10.11648/j.ajcem.20221003.13
DO  - 10.11648/j.ajcem.20221003.13
T2  - American Journal of Clinical and Experimental Medicine
JF  - American Journal of Clinical and Experimental Medicine
JO  - American Journal of Clinical and Experimental Medicine
SP  - 79
EP  - 82
PB  - Science Publishing Group
SN  - 2330-8133
UR  - https://doi.org/10.11648/j.ajcem.20221003.13
AB  - The establishment of a professional big data cloud platform with the chest pain center as the core can not only collect, process and analyze various types of rapidly changing mass data in the clinical work of the chest pain center in real time, but also provide personalized services to individuals and connect individuals, hospitals and health management institutions through the mobile Internet channel. This paper summarizes and proposes matters that should be noted in building this platform: The design should focus on the actual business operation and management requirements and meet the infrastructure requirements of the big data cloud platform. It should be considered as a whole from the regional level to the hospital level, and the architecture design and standards should be considered vertically and horizontally; It is recommended to unify patient identification numbers and to be compatible with existing data systems. At the initial stage of the construction of the cloud platform, a tertiary hospital should be the core, and all kinds of medical resources such as hospitals, nursing institutions, nursing homes and pharmacies at all levels should be gradually opened. The functional integration design strategy of the chest pain center workstation should be integrated with the electronic medical record system as the core, making full use of the original PACS system and equipment of the hospital to automatically collect time trajectory and examination data of the whole process of patient's medical treatment. Meet the hospital's quality control and management needs of the platform. The ultimate goal is to reduce the mortality of patients with chest pain.
VL  - 10
IS  - 3
ER  -

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