Attitude of practitioners from siddha system of medicine towards the implementation of personalised patient care management (PPCM) with special reference to siddha health care centers in Chennai
Keywords:
personalised care, Siddha health care, electronic health record, public health researchAbstract
Traditional Medicine system has its strong roots towards the existence and wellbeing of the Mankind. This system has been developed based on the experience since the Humankind came to existence in this world. The world has moulded itself to bring out this treasured medical system in a well organised way of utilisation to the needy public. One such traditional medical system is Siddha System of Medicine. It has its origin from Southern part of India with history beyond 3000 years. The Modern era of Information-technology based approach for Personalised Patient Care Management system has taken a phenomenal growth. However, the said technological advancement is yet to be organised and implemented in all sectors of Siddha Health Care centres. This will also facilitate health care professionals for making appropriate decisions in Patient care with the help of the available information and tools. Accordingly, the attitude of the Practitioners is required to be assessed before implementation. This study aims to bring out the attitude of Siddha Practitioners towards impact of Information technology based Personalised Patient Care Management (PPCM) in the Siddha Health care centres in Chennai.
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References
Subbarayappa, B. V. (1997). Siddha medicine: an overview. The Lancet, 350(9094), 1841-1844. https://doi.org/10.1016/S0140-6736(97)04223-2
Girgis,A., Durcinoska, I., Gerges, M. et al. Study protocol for a controlled trial of an eHealth system utilising patient reported outcome measures for personalised treatment and care: PROMPT-Care 2.0. BMC Cancer 18, 845 (2018) https://doi.org/10.1186/s12885-018-4729-3
Shuyun Shi, Debiao He, Li Li, Neeraj Kumar, Muhammad Khurram Khan, Kim-Kwang Raymond Choo,Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey,Computers & Security, Volume 97, 2020, 101966, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2020.101966.
Sendhilkumar Muthappan, Rajalakshmi Elumalai, Natarajan Shanmugasundaram, Nikilniva Johnraja, Hema Prasath, Priyadharshini Ambigadoss, Ambika Kandhasamy, Dhivya Kathiravan, Manickam Ponnaiah, AYUSH digital initiatives: Harnessing the power of digital technology for India’s traditional medical systems, Journal of Ayurveda and Integrative Medicine, Volume 13, Issue 2, 2022, 100498, ISSN 0975-9476, https://doi.org/10.1016/j.jaim.2021.07.014.
M. N. Alraja, M. M. J. Farooque and B. Khashab, "The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception," in IEEE Access, vol. 7, pp. 111341-111354, 2019, doi: 10.1109/ACCESS.2019.2904006.
O’Donnell, A., Kaner, E., Shaw, C. et al. Primary care physicians’ attitudes to the adoption of electronic medical records: a systematic review and evidence synthesis using the clinical adoption framework. BMC Med Inform Decis Mak 18, 101 (2018). https://doi.org/10.1186/s12911-018-0703-x
Coffin JD, Rao R, Lurie DI. Translational Potential of Ayurveda Prakriti: Concepts in the Area of Personalized Medicine. In Translational Ayurveda (pp. 21-32) 2019. Springer, Singapore.
Dey S, Pahwa P. Prakriti and its associations with metabolism, chronic diseases, and genotypes: Possibilities of new born screening and a lifetime of personalized prevention. J Ayurveda Integr Med 2014; 5(1): 15-24. https://dx.doi.org/10.4103%2F0975-9476.128848
Guo, Y., Ren, X., Chen, Yx. et al. Artificial Intelligence Meets Chinese Medicine. Chin. J. Integr. Med. 25, 648–653 (2019). https://doi.org/10.1007/s11655-019-3169-5
Stepheno.A., & Bini MD.(2018). Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care? https://doi.org/10.1016/j.arth.2018.02.067
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