Background: With the improvement of people's living conditions and the intensification of the aging level, chronic diseases such as hypertension and diabetes are constantly troubling human health. Chronic diseases have become the biggest problem for elderly patients, and there are many problems in the sharing of health information in the self-management of chronic diseases. Objective: To find a promising and practical way to share health information of chronic disease cloud, solve the problem of chronic disease health information sharing, so as to promote the long-term treatment of chronic disease, improve the quality of life of patients, protect the privacy of patients, and realize the common benefits of doctors, patients, medical institutions and medical research institutions. Methods: A patient-centered hybrid cloud health information sharing platform was proposed. The hybrid cloud technology was used to realize the sharing of chronic disease health information among doctors, patients, medical institutions and medical research institutions, and a prototype system was realized. Results: The scheme and its prototype system realized the recording and privacy sharing of health data by using hybrid cloud, and solved many problems of health information sharing in chronic disease self-management. Conclusion: Through system verification, the proposed hybrid cloud-based health information sharing method for chronic patients will greatly improve the utilization rate of information resources, and may change the current medical service model facing many challenges.
Published in | American Journal of Information Science and Technology (Volume 7, Issue 2) |
DOI | 10.11648/j.ajist.20230702.12 |
Page(s) | 55-61 |
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), 2023. Published by Science Publishing Group |
Chronic Diseases, Health Big Data, Hybrid Cloud
[1] | Wang Zhanyi. Research on several problems in Web text storage [D]. Peking University, 2019: 7-8. |
[2] | Du Wenhua. Comparison of ontology Construction methods [J]. Information Methods, 2004, 21 (1): 56-58. |
[3] | Chen Lixin. Status and development of personal health records [J]. Chinese Journal of Misdiagnosis, 2019, 31 (2): 46-47. |
[4] | Liu L. Overview and problem discussion of personal health records research on clinical phenotypes in the world [J]. World Science and Technology, 2010, 35 (6): 16-18. |
[5] | Cao Maocheng. [5] Research on hybrid cloud in electronic medical record [J]. Chinese Mathematical Medicine, 2020, 17 (11): 35-39. |
[6] | Zhang Xiaoying. Analysis of information visualization service of electronic health records based on data mining [J]. Lantai World, 2011, 19 (12): 25-26. |
[7] | LI Jian. Cluster Analysis and its application in public Cloud [D]. Xidian University, 2015: 33-35. |
[8] | MEI Xin. Review of data storage technology [J]. Journal of Jiangsu University, 2009, 28 (8): 36-37. |
[9] | ZHU Deli. Research and implementation of knowledge visualization system based on big data [D]. Chongqing University, 2019: 19-23. |
[10] | XU Guichen. Medical case-based reasoning based on hybrid cloud [D]. Zhejiang University of Technology, 2014: 78-81. |
[11] | Xia Han. Research on medical named entity recognition technology based on private cloud [D]. Shanghai Jiaotong University, 2013: 33. (in Chinese). |
[12] | Ontology development and electronic document construction of hypertension prevention and treatment guidelines [D]. Fourth Military Medical University, 2021: 65-68. |
[13] | Chen Yan. Research status of B/S in medical field [J]. Information Science, 2019, 37 (7): 23-27. |
[14] | Yao Qin. Research on key technologies of medical cloud for medical big data processing [J]. Journal of Zhejiang University, 2020, 29 (5): 78-79. |
[15] | Li Wei. Health Information Sharing and Security in the Era of Big Data [J]. Chinese health industry, 2020, 35 (11): 23-27. |
APA Style
Xu Qiuyu, Zeng Hongwu. (2023). Research on Key Technologies of Health Big Data Information Sharing for Chronic Patients. American Journal of Information Science and Technology, 7(2), 55-61. https://doi.org/10.11648/j.ajist.20230702.12
ACS Style
Xu Qiuyu; Zeng Hongwu. Research on Key Technologies of Health Big Data Information Sharing for Chronic Patients. Am. J. Inf. Sci. Technol. 2023, 7(2), 55-61. doi: 10.11648/j.ajist.20230702.12
AMA Style
Xu Qiuyu, Zeng Hongwu. Research on Key Technologies of Health Big Data Information Sharing for Chronic Patients. Am J Inf Sci Technol. 2023;7(2):55-61. doi: 10.11648/j.ajist.20230702.12
@article{10.11648/j.ajist.20230702.12, author = {Xu Qiuyu and Zeng Hongwu}, title = {Research on Key Technologies of Health Big Data Information Sharing for Chronic Patients}, journal = {American Journal of Information Science and Technology}, volume = {7}, number = {2}, pages = {55-61}, doi = {10.11648/j.ajist.20230702.12}, url = {https://doi.org/10.11648/j.ajist.20230702.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20230702.12}, abstract = {Background: With the improvement of people's living conditions and the intensification of the aging level, chronic diseases such as hypertension and diabetes are constantly troubling human health. Chronic diseases have become the biggest problem for elderly patients, and there are many problems in the sharing of health information in the self-management of chronic diseases. Objective: To find a promising and practical way to share health information of chronic disease cloud, solve the problem of chronic disease health information sharing, so as to promote the long-term treatment of chronic disease, improve the quality of life of patients, protect the privacy of patients, and realize the common benefits of doctors, patients, medical institutions and medical research institutions. Methods: A patient-centered hybrid cloud health information sharing platform was proposed. The hybrid cloud technology was used to realize the sharing of chronic disease health information among doctors, patients, medical institutions and medical research institutions, and a prototype system was realized. Results: The scheme and its prototype system realized the recording and privacy sharing of health data by using hybrid cloud, and solved many problems of health information sharing in chronic disease self-management. Conclusion: Through system verification, the proposed hybrid cloud-based health information sharing method for chronic patients will greatly improve the utilization rate of information resources, and may change the current medical service model facing many challenges.}, year = {2023} }
TY - JOUR T1 - Research on Key Technologies of Health Big Data Information Sharing for Chronic Patients AU - Xu Qiuyu AU - Zeng Hongwu Y1 - 2023/04/11 PY - 2023 N1 - https://doi.org/10.11648/j.ajist.20230702.12 DO - 10.11648/j.ajist.20230702.12 T2 - American Journal of Information Science and Technology JF - American Journal of Information Science and Technology JO - American Journal of Information Science and Technology SP - 55 EP - 61 PB - Science Publishing Group SN - 2640-0588 UR - https://doi.org/10.11648/j.ajist.20230702.12 AB - Background: With the improvement of people's living conditions and the intensification of the aging level, chronic diseases such as hypertension and diabetes are constantly troubling human health. Chronic diseases have become the biggest problem for elderly patients, and there are many problems in the sharing of health information in the self-management of chronic diseases. Objective: To find a promising and practical way to share health information of chronic disease cloud, solve the problem of chronic disease health information sharing, so as to promote the long-term treatment of chronic disease, improve the quality of life of patients, protect the privacy of patients, and realize the common benefits of doctors, patients, medical institutions and medical research institutions. Methods: A patient-centered hybrid cloud health information sharing platform was proposed. The hybrid cloud technology was used to realize the sharing of chronic disease health information among doctors, patients, medical institutions and medical research institutions, and a prototype system was realized. Results: The scheme and its prototype system realized the recording and privacy sharing of health data by using hybrid cloud, and solved many problems of health information sharing in chronic disease self-management. Conclusion: Through system verification, the proposed hybrid cloud-based health information sharing method for chronic patients will greatly improve the utilization rate of information resources, and may change the current medical service model facing many challenges. VL - 7 IS - 2 ER -