DEVELOPMENT OF TELEMEDICINE APPLICATION BASED ON ARTIFICIAL INTELLIGENCE IN THE HANDLING OF DIABET FOOT

Jurnal Layanan Masyarakat (Journal of Public Services) Pub Date : 2022-03-30 DOI:10.20473/jlm.v6i1.2022.205-211

Azhari Hidayat, Abed Nego Okthara Sebayang, Amila Shofia, Shofa Aulia, Aldharma

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Literature study conducted by the author is to look for various written sources, either in the form of books, archives, magazines, articles and journals, as well as documents relevant to the problem being studied. Result: Telemedicine application based on artificial intelligence is a solution for DM patients, especially diabetic foot complications. Discussion: The telemedicine application provides 24-hour service by providing education about diabetic foot care to avoid infection, consultation on the administration of drugs such as insulin and other diabetes drugs. Artificial intelligence in telemedicine allows this application to work 24 hours a day. Conclusion: Diabetes mellitus is still a complex problem worldwide. Complications that occur, especially diabetic feet reduce the quality of life of DM patients. Telemedicine application based on artificial intelligence is a solution that can be used to perform routine care for diabetic foot patients. \nKeywords: Telemedicine, Artificial intelligence, Diabetic foot, Diabetes Mellitus \n \nDAFTAR PUSTAKA \n \nBraza DW, Martin JNY. Diabetic Foot and Peripheral Arterial Disease [Internet]. Fourth Edi. Essentials of Physical Medicine and Rehabilitation. Elsevier Inc.; 2020. 719-723 p. Available from: https://doi.org/10.1016/B978-0-323-54947-9.00129-2 \ndenDekker AD, Gallagher KA. Dysregulated inflammation in diabetic wounds [Internet]. Wound Healing, Tissue Repair, and Regeneration in Diabetes. Elsevier Inc.; 2020. 81-95 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816413-6.00005-8 \nGrennan D. Diabetic Foot Ulcers. JAMA - J Am Med Assoc. 2019;321(1):114. \nBoulton AJM, Young MJ. The Diabetic Foot [Internet]. Diabetes in Old Age: Third Edition. Elsevier Inc.; 2009. 113-135 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816413-6.00001-0 \nCho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract [Internet]. 2018;138:271–81. Available from: https://doi.org/10.1016/j.diabres.2018.02.023 \nKhandelwal P, Khanna S. Diabetic peripheral neuropathy: An insight into the pathophysiology, diagnosis, and therapeutics [Internet]. Wound Healing, Tissue Repair, and Regeneration in Diabetes. Elsevier Inc.; 2020. 49-77 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816413-6.00004-6 \nReddy SSK, Tan M. Diabetes mellitus and its many complications [Internet]. Diabetes Mellitus. Elsevier Inc.; 2020. 1-18 p. Available from: https://doi.org/10.1016/B978-0-12-820605-8.00001-2 \nVennos C, Schwabl H, Pinto D. Phytotherapeutics in Diabetes and Diabetic Complications. Bioact Food as Diet Interv Diabetes. 2019;309–15. \nMeloni M, Izzo V, Giurato L, Gandini R, Uccioli L. Management of diabetic persons with foot ulceration during COVID-19 health care emergency: Effectiveness of a new triage pathway. Diabetes Res Clin Pract [Internet]. 2020;165:108245. Available from: https://doi.org/10.1016/j.diabres.2020.108245 \nPrandi V, Lenta E, Bracco A, Conterno E, Nigro E, Costa CD. Patient satisfaction assessment in telemedicine. Clin Nutr ESPEN [Internet]. 2020;40:487. Available from: https://doi.org/10.1016/j.clnesp.2020.09.244 \nGarcía-Villasante E, Baca-Carrasco V, Gutierrez-Ortiz C, Pinedo-Torres I. Diabetes care during COVID 19: Experience in telemedicine from a developing country. Diabetes Metab Syndr Clin Res Rev [Internet]. 2020;14(5):1519. Available from: https://doi.org/10.1016/j.dsx.2020.07.046 \nLi C. Biodiversity assessment based on artificial intelligence and neural network algorithms. Microprocess Microsyst [Internet]. 2020;79(September):103321. Available from: https://doi.org/10.1016/j.micpro.2020.103321 \nKane-Gill SL, Rincon F. Expansion of Telemedicine Services: Telepharmacy, Telestroke, Teledialysis, Tele–Emergency Medicine. Crit Care Clin [Internet]. 2019;35(3):519–33. Available from: https://doi.org/10.1016/j.ccc.2019.02.007 \nGogia S. Telesupport for the primary care practitioner. Fundam Telemed Telehealth. 2019;161–83. \nMo C, Sun W. Point-by-point feature extraction of artificial intelligence images based on the Internet of Things. Comput Commun [Internet]. 2020;159(March):1–8. Available from: https://doi.org/10.1016/j.comcom.2020.05.015 \nDorsey ER, Topol EJ. Telemedicine 2020 and the next decade. Lancet [Internet]. 2020;395(10227):859. Available from: http://dx.doi.org/10.1016/S0140-6736(20)30424-4 \nCorbett JA, Opladen JM, Bisognano JD. Telemedicine can revolutionize the treatment of chronic disease. Int J Cardiol Hypertens [Internet]. 2020;7(August):100051. Available from: https://doi.org/10.1016/j.ijchy.2020.100051 \nBerg WT, Goldstein M, Melnick AP, Rosenwaks Z. Clinical implications of telemedicine for providers and patients. Fertil Steril [Internet]. 2020;114(6):1129–34. Available from: https://doi.org/10.1016/j.fertnstert.2020.10.048 \nAl-Thani D, Monteiro S, Tamil LS. Design for eHealth and telehealth [Internet]. Design for Health. INC; 2020. 67-86 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816427-3.00004-X \nAl-Samarraie H, Ghazal S, Alzahrani AI, Moody L. Telemedicine in Middle Eastern countries: Progress, barriers, and policy recommendations. Int J Med Inform [Internet]. 2020;141(July):104232. Available from: https://doi.org/10.1016/j.ijmedinf.2020.104232 \nBanerjee A, Chakraborty C, Rathi M. Medical Imaging, Artificial Intelligence, Internet of Things, Wearable Devices in Terahertz Healthcare Technologies [Internet]. Terahertz Biomedical and Healthcare Technologies. Elsevier Inc.; 2020. 145-165 p. Available from: http://dx.doi.org/10.1016/B978-0-12-818556-8.00008-2 \nKindle RD, Badawi O, Celi LA, Sturland S. Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems. Crit Care Clin. 2019;35(3):483–95. \nBardy P. The Advent of Digital Healthcare. Hum Chall Telemed. 2019;3–17. \nDavid Y. Telehealth, telemedicine, and telecare [Internet]. Second Edi. Clinical Engineering Handbook, Second Edition. Elsevier Inc.; 2019. 550-555 p. Available from: https://doi.org/10.1016/B978-0-12-813467-2.00083-3 \nD’Arqom A, Indiastuti D, Nasution Z, Melbiarta R. PENGEMBANGAN KADER SEKOLAH MENENGAH UNTUK MENURUNKAN INSIDEN THALASSEMIA DI KABUPATEN BULAK, SURABAYA. 2021. 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Abstract

Introduction: Diabetes mellitus is a metabolic disorder characterized by increased blood glucose levels (hyperglycemia) due to impaired insulin secretion and insulin action. Diabetic foot ulcers are chronic and difficult to heal is the most common cause of non-traumatic amputations in patients with diabetes mellitus which reaches 82%. Telemedicine technology based on artificial intelligence can be used as a facility for diabetic foot patients by providing education, consultation and direction in treating diabetic feet. Research Methods: The method used in this research is literature study. Literature study conducted by the author is to look for various written sources, either in the form of books, archives, magazines, articles and journals, as well as documents relevant to the problem being studied. Result: Telemedicine application based on artificial intelligence is a solution for DM patients, especially diabetic foot complications. Discussion: The telemedicine application provides 24-hour service by providing education about diabetic foot care to avoid infection, consultation on the administration of drugs such as insulin and other diabetes drugs. Artificial intelligence in telemedicine allows this application to work 24 hours a day. Conclusion: Diabetes mellitus is still a complex problem worldwide. Complications that occur, especially diabetic feet reduce the quality of life of DM patients. Telemedicine application based on artificial intelligence is a solution that can be used to perform routine care for diabetic foot patients. Keywords: Telemedicine, Artificial intelligence, Diabetic foot, Diabetes Mellitus DAFTAR PUSTAKA Braza DW, Martin JNY. Diabetic Foot and Peripheral Arterial Disease [Internet]. Fourth Edi. Essentials of Physical Medicine and Rehabilitation. Elsevier Inc.; 2020. 719-723 p. Available from: https://doi.org/10.1016/B978-0-323-54947-9.00129-2 denDekker AD, Gallagher KA. Dysregulated inflammation in diabetic wounds [Internet]. Wound Healing, Tissue Repair, and Regeneration in Diabetes. Elsevier Inc.; 2020. 81-95 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816413-6.00005-8 Grennan D. Diabetic Foot Ulcers. JAMA - J Am Med Assoc. 2019;321(1):114. Boulton AJM, Young MJ. The Diabetic Foot [Internet]. Diabetes in Old Age: Third Edition. Elsevier Inc.; 2009. 113-135 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816413-6.00001-0 Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract [Internet]. 2018;138:271–81. Available from: https://doi.org/10.1016/j.diabres.2018.02.023 Khandelwal P, Khanna S. Diabetic peripheral neuropathy: An insight into the pathophysiology, diagnosis, and therapeutics [Internet]. Wound Healing, Tissue Repair, and Regeneration in Diabetes. Elsevier Inc.; 2020. 49-77 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816413-6.00004-6 Reddy SSK, Tan M. Diabetes mellitus and its many complications [Internet]. Diabetes Mellitus. Elsevier Inc.; 2020. 1-18 p. Available from: https://doi.org/10.1016/B978-0-12-820605-8.00001-2 Vennos C, Schwabl H, Pinto D. Phytotherapeutics in Diabetes and Diabetic Complications. Bioact Food as Diet Interv Diabetes. 2019;309–15. Meloni M, Izzo V, Giurato L, Gandini R, Uccioli L. Management of diabetic persons with foot ulceration during COVID-19 health care emergency: Effectiveness of a new triage pathway. Diabetes Res Clin Pract [Internet]. 2020;165:108245. Available from: https://doi.org/10.1016/j.diabres.2020.108245 Prandi V, Lenta E, Bracco A, Conterno E, Nigro E, Costa CD. Patient satisfaction assessment in telemedicine. Clin Nutr ESPEN [Internet]. 2020;40:487. Available from: https://doi.org/10.1016/j.clnesp.2020.09.244 García-Villasante E, Baca-Carrasco V, Gutierrez-Ortiz C, Pinedo-Torres I. Diabetes care during COVID 19: Experience in telemedicine from a developing country. Diabetes Metab Syndr Clin Res Rev [Internet]. 2020;14(5):1519. Available from: https://doi.org/10.1016/j.dsx.2020.07.046 Li C. Biodiversity assessment based on artificial intelligence and neural network algorithms. Microprocess Microsyst [Internet]. 2020;79(September):103321. Available from: https://doi.org/10.1016/j.micpro.2020.103321 Kane-Gill SL, Rincon F. Expansion of Telemedicine Services: Telepharmacy, Telestroke, Teledialysis, Tele–Emergency Medicine. Crit Care Clin [Internet]. 2019;35(3):519–33. Available from: https://doi.org/10.1016/j.ccc.2019.02.007 Gogia S. Telesupport for the primary care practitioner. Fundam Telemed Telehealth. 2019;161–83. Mo C, Sun W. Point-by-point feature extraction of artificial intelligence images based on the Internet of Things. Comput Commun [Internet]. 2020;159(March):1–8. Available from: https://doi.org/10.1016/j.comcom.2020.05.015 Dorsey ER, Topol EJ. Telemedicine 2020 and the next decade. Lancet [Internet]. 2020;395(10227):859. Available from: http://dx.doi.org/10.1016/S0140-6736(20)30424-4 Corbett JA, Opladen JM, Bisognano JD. Telemedicine can revolutionize the treatment of chronic disease. Int J Cardiol Hypertens [Internet]. 2020;7(August):100051. Available from: https://doi.org/10.1016/j.ijchy.2020.100051 Berg WT, Goldstein M, Melnick AP, Rosenwaks Z. Clinical implications of telemedicine for providers and patients. Fertil Steril [Internet]. 2020;114(6):1129–34. Available from: https://doi.org/10.1016/j.fertnstert.2020.10.048 Al-Thani D, Monteiro S, Tamil LS. Design for eHealth and telehealth [Internet]. Design for Health. INC; 2020. 67-86 p. Available from: http://dx.doi.org/10.1016/B978-0-12-816427-3.00004-X Al-Samarraie H, Ghazal S, Alzahrani AI, Moody L. Telemedicine in Middle Eastern countries: Progress, barriers, and policy recommendations. Int J Med Inform [Internet]. 2020;141(July):104232. Available from: https://doi.org/10.1016/j.ijmedinf.2020.104232 Banerjee A, Chakraborty C, Rathi M. Medical Imaging, Artificial Intelligence, Internet of Things, Wearable Devices in Terahertz Healthcare Technologies [Internet]. Terahertz Biomedical and Healthcare Technologies. Elsevier Inc.; 2020. 145-165 p. Available from: http://dx.doi.org/10.1016/B978-0-12-818556-8.00008-2 Kindle RD, Badawi O, Celi LA, Sturland S. Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems. Crit Care Clin. 2019;35(3):483–95. Bardy P. The Advent of Digital Healthcare. Hum Chall Telemed. 2019;3–17. David Y. Telehealth, telemedicine, and telecare [Internet]. Second Edi. Clinical Engineering Handbook, Second Edition. Elsevier Inc.; 2019. 550-555 p. Available from: https://doi.org/10.1016/B978-0-12-813467-2.00083-3 D’Arqom A, Indiastuti D, Nasution Z, Melbiarta R. PENGEMBANGAN KADER SEKOLAH MENENGAH UNTUK MENURUNKAN INSIDEN THALASSEMIA DI KABUPATEN BULAK, SURABAYA. 2021. Jurnal Layanan Masyarakat. 2021;5(2)

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基于人工智能的远程医疗在糖尿病足治疗中的应用

简介:糖尿病是一种代谢紊乱，其特征是由于胰岛素分泌和胰岛素作用受损导致血糖水平升高(高血糖)。糖尿病足溃疡是慢性且难以愈合的，是糖尿病患者非创伤性截肢的最常见原因，占82%。基于人工智能的远程医疗技术可以作为糖尿病足患者的设施，为糖尿病足患者提供教育、咨询和指导。研究方法:本研究采用文献研究法。作者进行的文献研究是寻找各种书面来源，无论是以书籍，档案，杂志，文章和期刊的形式，还是与所研究的问题相关的文件。结果:基于人工智能的远程医疗应用是解决糖尿病患者，特别是糖尿病足并发症的一种方法。讨论:远程医疗应用程序提供24小时服务，提供糖尿病足护理教育以避免感染，咨询胰岛素和其他糖尿病药物的给药。远程医疗中的人工智能允许该应用程序每天24小时工作。结论:糖尿病在世界范围内仍是一个复杂的问题。并发症的发生，尤其是糖尿病足，降低了糖尿病患者的生活质量。基于人工智能的远程医疗应用是一种可用于糖尿病足患者日常护理的解决方案。关键词:远程医疗，人工智能，糖尿病足，糖尿病糖尿病足与外周动脉疾病[Internet]。第四个Edi。《物理医学与康复要领》。爱思唯尔有限公司;2020. 719-723 p.可从:https://doi.org/10.1016/B978-0-323-54947-9.00129-2 denDekker AD, Gallagher KA。糖尿病创面炎症异常[j]。糖尿病的伤口愈合、组织修复和再生。爱思唯尔有限公司;2020. 81-95页，可从:http://dx.doi.org/10.1016/B978-0-12-816413-6.00005-8 Grennan D.糖尿病足溃疡。中华医学杂志，2019;31(1):114。博尔顿AJM，杨MJ。糖尿病足[互联网]。老年糖尿病:第三版。爱思唯尔有限公司;2009. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW，等。IDF糖尿病地图集:2017年全球糖尿病患病率估计和2045年预测。糖尿病康复临床实践[互联网]。2018; 138:271 - 81。可从:https://doi.org/10.1016/j.diabres.2018.02.023 Khandelwal P, Khanna S.糖尿病周围神经病变:对病理生理学、诊断和治疗的洞察[互联网]。糖尿病的伤口愈合、组织修复和再生。爱思唯尔有限公司;2020. 可从:http://dx.doi.org/10.1016/B978-0-12-816413-6.00004-6 Reddy SSK, Tan M.糖尿病及其并发症[互联网]。糖尿病。爱思唯尔有限公司;2020. 1-18页，可从:https://doi.org/10.1016/B978-0-12-820605-8.00001-2 Vennos C, Schwabl H, Pinto D.植物治疗糖尿病和糖尿病并发症。Bioact Food Food . 2019; 309-15。Meloni M, Izzo V, Giurato L, Gandini R, Uccioli L.在COVID-19医疗急救期间糖尿病足部溃疡患者的管理:一种新的分诊途径的有效性。糖尿病康复临床实践[互联网]。2020; 165:108245。可从:https://doi.org/10.1016/j.diabres.2020.108245 Prandi V, Lenta E, Bracco A, Conterno E, Nigro E, Costa CD.远程医疗患者满意度评估。Clin nur ESPEN [Internet]。2020; 40:487。可从以下网站获取:https://doi.org/10.1016/j.clnesp.2020.09.244 García-Villasante E、Baca-Carrasco V、Gutierrez-Ortiz C、Pinedo-Torres I. COVID - 19期间的糖尿病护理:发展中国家的远程医疗经验。糖尿病合并综合征临床研究进展[j]。2020; 14(5): 1519。链接:https://doi.org/10.1016/j.dsx.2020.07.046李超。基于人工智能和神经网络算法的生物多样性评估。微进程微系统[互联网]。2020年,79(9):103321。可从:https://doi.org/10.1016/j.micpro.2020.103321获取。扩展远程医疗服务:远程药房、远程中风、远程透析、远程急救医学。危重症护理诊所[互联网]。2019; 35(3): 519 - 33所示。可从:https://doi.org/10.1016/j.ccc.2019.02.007 Gogia S.远程支持初级保健医生。中华医学会远程医疗杂志，2019;161-83。莫晨，孙伟。基于物联网的人工智能图像逐点特征提取。Comput common [Internet]。2020年,159(3):1 - 8。可从:https://doi.org/10.1016/j.comcom.2020.05.015 Dorsey ER, Topol EJ。2020年和未来十年的远程医疗。(互联网)出版的《柳叶刀》杂志上。2020, 395(10227): 859。可从:http://dx。

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