Research article

A novel "five-in-one" comprehensive medical care framework for rehabilitation and nursing

  • Academic editor: Hao Wang
  • Received: 09 November 2022 Revised: 28 November 2022 Accepted: 08 December 2022 Published: 06 January 2023
  • With the evolution of society, the world has entered a moderate stage of aging. Not surprisingly, the aging problem in the world is getting more intense, resulting in the increasing demand for higher-quality and well-organized medical and elderly care services. To cope with that, many researchers have dedicated themselves to advancing the medical care system based on data or platforms. However, they have ignored the life cycle, health service and management and the inevitable shift of living scenarios for the elderly. Therefore, the study aims to improve health conditions and enhance senior citizens' life quality and happiness index. In this paper, we build a unified body for people in their old age, bridging the disconnection between medical care and elderly care and constructing the "five-in-one" comprehensive medical care framework. It should be mentioned that the system takes the human life cycle as its axis, relies on the supply side and supply chain management, integrates medicine, industry, literature and science as methods, and takes health service management as a requirement. Furthermore, a case study on upper limb rehabilitation is elaborated along the "five-in-one" comprehensive medical care framework to confirm the effectiveness of the novel system.

    Citation: Jiayu Fu, Haiyan Wang, Risu Na, A Jisaihan, Zhixiong Wang, Yuko Ohno. A novel 'five-in-one' comprehensive medical care framework for rehabilitation and nursing[J]. Mathematical Biosciences and Engineering, 2023, 20(3): 5004-5023. doi: 10.3934/mbe.2023232

    Related Papers:

  • With the evolution of society, the world has entered a moderate stage of aging. Not surprisingly, the aging problem in the world is getting more intense, resulting in the increasing demand for higher-quality and well-organized medical and elderly care services. To cope with that, many researchers have dedicated themselves to advancing the medical care system based on data or platforms. However, they have ignored the life cycle, health service and management and the inevitable shift of living scenarios for the elderly. Therefore, the study aims to improve health conditions and enhance senior citizens' life quality and happiness index. In this paper, we build a unified body for people in their old age, bridging the disconnection between medical care and elderly care and constructing the "five-in-one" comprehensive medical care framework. It should be mentioned that the system takes the human life cycle as its axis, relies on the supply side and supply chain management, integrates medicine, industry, literature and science as methods, and takes health service management as a requirement. Furthermore, a case study on upper limb rehabilitation is elaborated along the "five-in-one" comprehensive medical care framework to confirm the effectiveness of the novel system.



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    [1] T. E. Li, E. T. H. Chan, "With a young spirit, we will be young forever": Exploring the links between tourism and ageing well in contemporary china, Tourism Manage., 86 (2021), 104345. https://doi.org/10.1016/j.tourman.2021.104345 doi: 10.1016/j.tourman.2021.104345
    [2] A. M. Fathollahi-Fard, A. Ahmadi, B. Karimi, Multi-objective optimization of home healthcare with working-time balancing and care continuity, Sustainability, 13 (2021), 12431. https://doi.org/10.3390/su132212431 doi: 10.3390/su132212431
    [3] L. Wu, Z. Huang, Z. Pan, The spatiality and driving forces of population ageing in china, PLoS One, 16 (2021), e0243559. https://doi.org/10.1371/journal.pone.0243559 doi: 10.1371/journal.pone.0243559
    [4] A. M. Fathollahi-Fard, A. Ahmadi, B. Karimi, Sustainable and robust home healthcare logistics: A response to the covid-19 pandemic, Symmetry, 14 (2022), 193. https://doi.org/10.3390/sym14020193 doi: 10.3390/sym14020193
    [5] A. M. Fathollahi-Fard, M. Hajiaghaei-Keshteli, R. Tavakkoli-Moghaddam, N. R. Smith, Bi-level programming for home health care supply chain considering outsourcing, J. Ind. Inf. Integr., 25 (2022), 100246. https://doi.org/10.1016/j.jii.2021.100246 doi: 10.1016/j.jii.2021.100246
    [6] D. C. Yacchirema, D. Sarabia-Jácome, C. E. Palau, M. Esteve, A smart system for sleep monitoring by integrating iot with big data analytics, IEEE Access, 6 (2018), 35988–36001. https://doi.org/10.1109/ACCESS.2018.2849822 doi: 10.1109/ACCESS.2018.2849822
    [7] L. J. Pérez, J. Salvachúa, An approach to build e-health iot reactive multi-services based on technologies around cloud computing for elderly care in smart city homes, Appl. Sci., 11 (2021), 5172. https://doi.org/10.3390/app11115172 doi: 10.3390/app11115172
    [8] E. Sultanovs, A. Skorobogatjko, A. Romanovs, Centralized healthcare cyber-physical system's architecture development, in 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), (2016), 1–6. https://doi.org/10.1109/RTUCON.2016.7763155
    [9] H. Su, W. Qi, C. Yang, J. Sandoval, G. Ferrigno, E. De Momi, Deep neural network approach in robot tool dynamics identification for bilateral teleoperation, IEEE Robot. Autom. Let., 5 (2020), 2943–2949. https://doi.org/10.1109/LRA.2020.2974445 doi: 10.1109/LRA.2020.2974445
    [10] Y. H. Han, S. H. Yoo, S. Y. Lee, I. Y. Hwang, K. H. Kim, B. Cho, et al., The medical needs and characteristics of cancer and progressive neurologic disease patients who use home-based medical care in korea: A retrospective study for 2011–2020, JAMDA, 23 (2022), 1634–1641. https://doi.org/10.1016/j.jamda.2022.06.027 doi: 10.1016/j.jamda.2022.06.027
    [11] D. M. Cooper, K. Daniel, C. Bakker, J. Blanck, C. Childs, A. Gleason, et al., Supporting the changing research practices of public health scholars, Ithaka S+R, (2017). https://doi.org/10.18665/sr.305867
    [12] P. Jiao, Y. Jiang, J. Jiao, L. Zhang, The pathogenic characteristics and influencing factors of health care-associated infection in elderly care center under the mode of integration of medical care and elderly care service: A cross-sectional study, Medicine, 100 (2021), e26158. https://doi.org/10.1097/MD.0000000000026158 doi: 10.1097/MD.0000000000026158
    [13] X. Zheng, C. Rodríguez-Monroy, The development of intelligent healthcare in china, Telemed. E-health, 21 (2015), 443–448. https://doi.org/10.1089/tmj.2014.0102 doi: 10.1089/tmj.2014.0102
    [14] W. Qi, H. Su, A cybertwin based multimodal network for ecg patterns monitoring using deep learning, IEEE Trans. Ind. Inform.. https://doi.org/10.1109/TII.2022.3159583
    [15] E. F. Fang, M. Scheibye-Knudsen, H. J. Jahn, J. Li, L. Ling, H. Guo, et al., A research agenda for aging in china in the 21st century, Ageing Res. Rev., 24 (2015), 197–205. https://doi.org/10.1016/j.arr.2015.08.003 doi: 10.1016/j.arr.2015.08.003
    [16] X. Hu, Research on supporting facility configuration in communities under the mode of home-based care-taking hohhot city as an example, in Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018), (2018), 555–560. https://doi.org/10.2991/iceesd-18.2018.101
    [17] Y. Sun, H. Gregersen, W. Yuan, Chinese health care system and clinical epidemiology, Clin. Epidemiol., 2017 (2017), 167–178. https://doi.org/10.2147/CLEP.S106258 doi: 10.2147/CLEP.S106258
    [18] H. Su, A. Mariani, S. E. Ovur, A. Menciassi, G. Ferrigno, E. De Momi, Toward teaching by demonstration for robot-assisted minimally invasive surgery, IEEE Trans. Autom. Sci. Eng., 18 (2021), 484–494. https://doi.org/10.1109/TASE.2020.3045655 doi: 10.1109/TASE.2020.3045655
    [19] H. Yi, H. Liu, Z. Wang, H. Xue, S. Sylvia, H. Shi, et al., The competence of village clinicians in the diagnosis and management of childhood epilepsy in southwestern china and its determinants: a cross-sectional study, Lancet Reg. Health West. Pac., 3 (2020), 100031. https://doi.org/10.1016/j.lanwpc.2020.100031 doi: 10.1016/j.lanwpc.2020.100031
    [20] H. Qiao, J. Chen, X. Huang, A survey of brain-inspired intelligent robots: Integration of vision, decision, motion control, and musculoskeletal systems, IEEE Trans. Cybern., 52 (2022), 11267–11280. https://doi.org/10.1109/TCYB.2021.3071312 doi: 10.1109/TCYB.2021.3071312
    [21] H. Su, W. Qi, Y. Schmirander, S. E. Ovur, S. Cai, X. Xiong, A human activity-aware shared control solution for medical human–robot interaction, Assem. Autom., 42 (2022). https://doi.org/10.1108/AA-12-2021-0174
    [22] C. Li, T. Wu, C. Chen, C. Lee, C. Chen, An efficient user authentication and user anonymity scheme with provably security for iot-based medical care system, Sensors, 17 (2017), 1482. https://doi.org/10.3390/s17071482 doi: 10.3390/s17071482
    [23] A. Nadeem, M. A. Hussain, O. Owais, A. Salam, S. Iqbal, K. Ahsan, Application specific study, analysis and classification of body area wireless sensor network applications, Comput. Netw., 83 (2015), 363–380. https://doi.org/10.1016/j.comnet.2015.03.002 doi: 10.1016/j.comnet.2015.03.002
    [24] H. Qiao, S. Zhong, Z. Chen, H. Wang, Improving performance of robots using human-inspired approaches: a survey, Sci. China Inf. Sci., 65 (2022), 1–31. https://doi.org/10.1007/s11432-022-3606-1 doi: 10.1007/s11432-022-3606-1
    [25] C. Li, C. Lee, C. Weng, A secure cloud-assisted wireless body area network in mobile emergency medical care system, J. Med. Syst., 40 (2016), 1–15. https://doi.org/10.1007/s10916-016-0474-9 doi: 10.1007/s10916-016-0474-9
    [26] C. Chen, Y. Deng, C. Lee, S. Zhu, Y. Chiu, C. Wu, An internet-of-things-based sensing rural medical care system, Sens. Mater., 31 (2019), 1037–1063. https://doi.org/10.18494/SAM.2019.2227 doi: 10.18494/SAM.2019.2227
    [27] W. Qi, A. Aliverti, A multimodal wearable system for continuous and real-time breathing pattern monitoring during daily activity, IEEE J. Biomed. Health Inf., 24 (2019), 2199–2207 https://doi.org/10.1109/JBHI.2019.2963048 doi: 10.1109/JBHI.2019.2963048
    [28] Z. Yang, S. Xia, S. Feng, Network information security platform based on artificial intelligence for the elderly's health "integration of physical, medical, and nursing care", Comput. Math. Methods Med., 2022 (2022). https://doi.org/10.1155/2022/5975054
    [29] L. Xu, Y. Zhang, Quality improvement of smart senior care service platform in china based on grey relational analysis and fuzzy-qfd, Grey Syst.: Theory Appl., 11 (2021). https://doi.org/10.1108/GS-05-2020-0068
    [30] B. Wang, L. Xu, Construction of the "internet plus" community smart elderly care service platform, J. Healthcare Eng., (2021). https://doi.org/10.1155/2021/4310648
    [31] M. Haghi, S. Neubert, A. Geissler, H. Fleischer, N. Stoll, R. Stoll, et al. A flexible and pervasive iot-based healthcare platform for physiological and environmental parameters monitoring, IEEE Internet Things J., 7 (2020), 5628–5647. https://doi.org/10.1109/JIOT.2020.2980432 doi: 10.1109/JIOT.2020.2980432
    [32] G. A. Bilkey, B. L. Burns, E. P. Coles, F. L. Bowman, J. P. Beilby, N. S. Pachter, et al., Genomic testing for human health and disease across the life cycle: applications and ethical, legal, and social challenges, Front. Public Health, 7 (2019), 40. https://doi.org/10.3389/fpubh.2019.00040 doi: 10.3389/fpubh.2019.00040
    [33] Y. Zeng, H. Chen, Z. Wang, K. C. Land, Implications of changes in households and living arrangements for future home-based care needs and costs for disabled elders in china, J. Aging Health, 27 (2015), 519–550. https://doi.org/10.1177/0898264314552690 doi: 10.1177/0898264314552690
    [34] D. Awrey, Toward a supply-side theory of financial innovation, J. Comp. Econ., 41 (2013), 401–419. https://doi.org/10.1016/j.jce.2013.03.011 doi: 10.1016/j.jce.2013.03.011
    [35] G. Fan, L. Zhang, M. Yu, W. Hong, S. Dong, Applications of random forest in multivariable response surface for short-term load forecasting, Int. J. Electr. Power Energy Syst., 139 (2022), 108073. https://doi.org/10.1016/j.ijepes.2022.108073 doi: 10.1016/j.ijepes.2022.108073
    [36] S. Kani, J. Miura, Mobile monitoring of physical states of indoor environments for personal support, in 2015 IEEE/SICE International Symposium on System Integration (SII), (2015), 393–398. https://doi.org/10.1109/SII.2015.7404951
    [37] F. Inchausti, A. MacBeth, I. Hasson-Ohayon, G. Dimaggio, Psychological intervention and covid-19: what we know so far and what we can do, J. Contemp. Psychother., 50 (2020), 243–250. https://doi.org/10.1007/s10879-020-09460-w doi: 10.1007/s10879-020-09460-w
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