Amir Zakaria Consulting Group | Health Management
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Health Management

Health Management

Health management is a kind of preventive medicine tracing the origin and aims to mobilize individual and team enthusiasm. It efficiently uses limited resources and achieves the best results. By health monitoring of individuals and groups, lifestyle-related risk factors will be evaluated, which will provide personalized interventions to reduce disease risk and improve human life quality ( Dongqing  et al, 2022).

Health management, by monitoring and evaluating risk factors of disease, especially infectious diseases, helps people with targeted prevention and intervention before diseases develop, and therefore blocks delay, and even prevents the occurrence and development of diseases to achieve the purpose of maintaining good health (Wu Xianguang  et al, 2022; D. Yuyuan et al, 2021; Z. Ximei, 2021)

At present, physiological indicators are too monolithic including body temperature, pulse, heart rate, walking steps, etc. It may result from limited technology and a lack of health knowledge (Lina  et al, 2022). It is well known that the factors that cause disease are internal and external. Besides the physiological indicators monitored by conventional sensors, for health big data, it is also necessary to collect data from the living environment, such as air quality, living noise, eating habits, geographical location, climatic conditions, etc. Health management aims to find disease risks including changeable and unchangeable factors. The former is controllable by changing self-behaviors, for example, unreasonable diet, lack of exercise, smoking, drinking, and other bad habits. The latter are uncontrollable, such as age, gender, family medical history, etc. Therefore, it is necessary to collect more health-related information to address the monolithic data (CHEN et al, 2023).

  • CHEN, Xiao-Yong; YANG, Bo-Xiong; ZHAO, Shuai; DING, Jie; SUN, Peng; GAN, Lin (2023). “Intelligent health management based on analysis of big data collected by wearable smart watch”. Cognitive Robotics, Volume 3, 2023, Pages 1-7.
  • Dongqing, L. Yinghua, C. Liping (2022). “Application of multidisciplinary collaborative health management model in health management center”. China Clin. Nurs., 14 (07) (2022), pp. 408-411.
  • Wu Xianguang, C. Di, X. Fang, Fu Yumeng, Z. Meng, T. Xiuqi, (2022). “Developing the rehabilitation cause to promote the realization of the goal of “Healthy China 2030″”. China Rehabil. Theory Pract., 28 (01), pp. 6-14
  • Yuyuan, Wu Dongmei, L. Bing (2021). “Research on medical-related indicator system of “Healthy China 2030”. China Clin. Res., 34 (05) (2021), pp. 717-720.
  • Ximei, Y. Lu, N. Yuan (2021). “Application of disease early warning in health big data management platform”. J. Med. Inform., 42 (02), pp. 49-52.
  • Lina, G. Yuanli, B. Jo, W. Miao, W. Lin, Z. Yiru, H. Yu, L. Yanjin (2022). “Experiences of health management among people at high risk of stroke in China: a qualitative study”. Nurs. Open, 10.1002/nop2.1327.
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