nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2024, 03, v.41 26-33
人工智能在养老护理中的应用与展望
基金项目(Foundation): 攀枝花市指导性科技计划项目“磁耦合式光伏电能无线传输技术优化研究”(2022ZD-G-1)
邮箱(Email):
DOI: 10.13773/j.cnki.51-1637/z.2024.03.004
摘要:

人工智能的理论与技术日益成熟,其主要目标是让机器代替人完成复杂的工作。人工智能技术与养老护理相结合,有效地弥补传统养老模式的不足,有力推动养老护理行业的发展。人工智能在养老护理中的应用主要表现为生活照护、健康账款监测、病情变化预测、运动康复训练、智能药物管理等方面。目前,人工智能的应用在缓解职业压力、弥补养老护理人力资源的不足、改变养老护理模式等方面取得了一定成效,同时也存在着智能养老护理产品功能单一、缺乏管理法规、产品价格偏高、技术安全不能完全保障和一定的伦理风险等问题。人工智能在养老护理中的应用虽然存在一些问题,但它是一种新生事物,具有广阔的发展前景。在未来,应提高对人工智能的认识,着力解决存在的问题,积极推动人工智能在养老护理中的应用。

Abstract:

The theory and technology of artificial intelligence(AI) are becoming increasingly sophisticated, whose primary goal aim at allowing machines to perform complex tasks on behalf of humans. The marriage between AI technology and elderly care effectively addresses the limitations of traditional elderly care models and significantly promote the development of the elderly care industry.The applications of AI in elderly care encompass daily living assistance, health account monitoring, disease progression prediction, physical rehabilitation training, and intelligent medication management. Currently, AI applications have achieved many successes in alleviating professional stress, compensating for the shortage of human resources in elderly care, and transforming elderly care models. However, challenges are also found including the limited functionality of intelligent elderly care products, absence of managerial regulations, high costs, incomplete technical security guarantees, and ethical risks. Despite of these issues, AI in elderly care represents a promising and rapidly developing new being. In the future, efforts should be made to enhance the understanding of AI, address existing issues, and actively promote the application of AI in elderly care.

参考文献

[1] 中华人民共和国中央人民政府.中华人民共和国2021年国民经济和社会发展统计公报[EB/OL].(2022-02-28)[2023-04-05].https://www.gov.cn/xinwen/2022-02/28/content_5676015.htm.

[2] 周路菡.智能护理科技改变生活[J].新经济导刊,2017(7):50-54.

[3] 孔祥溢,王任直.人工智能及在医疗领域的应用[J].医学信息学杂志,2016,37(11):2-5.

[4] 杜妍莹,董鼎辉,马锋,等.人工智能在护理领域的应用进展[J].解放军护理杂志,2019,36(4):58-61.

[5] 张菁,徐家华,施莉,等.人工智能技术在护理领域的应用现状与发展趋势[J].第二军医大学学报,2018,39(8):939-941.

[6] 董琪,苗新刚.躺椅式洗浴机器人的改进研究[J].机器人技术与应用,2017(4):28-32.

[7] 贾云华,包家明,钱增友,等.智能排泄护理仪人体实验研究[J].护理与康复,2017,16(5):458-461.

[8] LEE HJ,LEE S,CHANG WH,et al.A wearable hip assist robot can improve gait function and cardiopulmonary metabolic efficiency in elderly adults[J].IEEE Trans Neural Syst Rehabil Eng,2017,25(9):1549-1557.

[9] DAVIES N.Can robots handle your health care[J].Engineering & Technology,2016,11(9):58-61.

[10] 陈瑜.人工智能在护理领域的应用及思考[J].护士进修杂志,2020,35(3):247-251.

[11] 贾震宇,王维,王琛,等.可穿戴设备在医疗领域中的应用进展[J].中国医疗设备,2017,32(2):96-99.

[12] GOHER K M,MANSOURI N,FADLALLAH S O.Assessment of personal care and medical robots from older adults’ perspective[J].Robotics and Biomimetics,2017,4(1):5.

[13] 涂爱清,曾铁英.人工智能技术在临床护理中的应用问题及展望[J].护理研究,2020,34(2):269-272.

[14] SUDHARSAN B,PEEPLES M,SHOMALI M.Hypoglycemia prediction using machine learning models for patients with type 2 diabetes[J].Journal of Diabetes Science and Technology,2015,9(1):86-90.

[15] FINKELSTEIN J,WOOD J.Predicting asthma exacerbations using artificial intelligence[J].Stud Health Technol Inform,2013(190):56-58.

[16] FERNANDEZGRANERO M A,SANCHEZMORILLO D,LEONJINNENEZ A.An artificial intelligence approach to early predict symptom-based exacerbations of COPD[EB/OL].(2018-02-10).https://www.tandfonline.com/doi/full/10.1080/13102818.2018.1437568.

[17] RABHI Y,MRABET M,FNAIECH F.A facial expression controlled wheelchair for people with disabilities[J].Comput Methods Programs Biomed,2018(165):89-105.

[18] FENG Y,WANG H,DU Y,et a1.Trajectory planning of a novel lower limb rehabilitation robot for stroke patient passive training[J].Adv Mech Eng,2017,9(12):1-10.

[19] 李龙飞,曹飞帆,张鑫,等.脑控主被动协同刺激下肢康复训练系统研究与开发[J].西安交通大学学报(医学版),2019,40(1):130-133+143.

[20] POLYGERINOS P,WANG Z.Soft robotic glove for combined assistance and at-home rehabilitation[J].Robotics Autonomous Systems,2015(73):135-143.

[21] LOPEZ-SAMANIEGO L,GARCIA-ZAPIRAIN B.A robot-based tool for physical and cognitive rehabilitation of elderly people using biofeedback[J].International Journal of Environmental Research and Public Health,2016,13(12):1176.

[22] 田伟.我国医用机器人的研究现状及展望[J].骨科临床与研究杂志,2018,3(4):193-194.

[23] OUCHI K,LINDVALL C,CHAI P R,et al.Machine learning to predict,detect,and intervene older adults vulnerable for adverse drug events in the emergency department[J].J Med Toxicol,2018,14(3):248-252.

[24] 卓烨烨,庄旭心,蔡德.基于HIS的机器学习临床决策支持系统在抗菌药物管理中的应用[J].中国数字医学,2021,16(9):84-89.

[25] 黄昕.“人工智能+养老”服务模式探究[J].西安财经大学学报,2020,33(5):35-42.

[26] 周滢,李峥.人工智能技术在老年护理中应用的研究进展[J].中国护理管理,2018,18(6):777- 780.

[27] 张孔娟,李梅,孙莹莹.智慧养老推动品质养老[N].中国经济时报,2017-11-30(8).

[28] SALICHS M A,ENCINAR I P,SALICHS E,et al.Study of scenarios and technical requirements of a social assistive robot for Alzheimer's disease patients and their caregivers[J].International Journal of Social Robotics,2016,8(1):85-102.

[29] WINFIELD A F T,JIROTKA M.Ethical governance is essential to building trust in robotics and artificial intelligence systems[EB/OL].(2018-10-15)[2023-01-15].https://www.ncbi.nlm.nih.gov/pmc/ articles/PMC6191667/3.

基本信息:

DOI:10.13773/j.cnki.51-1637/z.2024.03.004

中图分类号:TP18;R47

引用信息:

[1]罗山,刘继红.人工智能在养老护理中的应用与展望[J].攀枝花学院学报,2024,41(03):26-33.DOI:10.13773/j.cnki.51-1637/z.2024.03.004.

基金信息:

攀枝花市指导性科技计划项目“磁耦合式光伏电能无线传输技术优化研究”(2022ZD-G-1)

发布时间:

2024-04-09

出版时间:

2024-04-09

网络发布时间:

2024-04-09

检 索 高级检索

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文