物联网医学在哮喘管理中应用的研究进展
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摘要
物联网医学是一种全新的诊疗模式,实现了远距离的医院、患者和医疗设备之间的互动,进而解决医疗问题。支气管哮喘是最常见的一种慢性呼吸系统疾病,主要表现为气道慢性炎症和气道高反应性。通过物联网技术可以实现对哮喘的有效监控管理。本文从患者、医师以及分级诊疗3个层面综述物联网医学在哮喘管理中的作用。物联网医学可以提高哮喘患者的自我管理能力,方便医师对患者的随访管理,节约医疗资源,优化三级诊疗,实现精准医疗。目前物联网医学虽然还不完善,但终将在哮喘的慢性管理中占有重要地位。
The medical internet of things(IOT)is a novel model of medical care.It can help people to achieve remote interactions among hospitals,patients and healthcare devices and further provide a solution to medical issues.Asthma is a common respiratory disease characterized by chronic airway inflammation and hyperreactivity.We can improve the management of asthma with the help of the medical IOT.This review mainly discusses the role of medical IOT in asthma management from the perspectives of patients,doctors and hierarchical medical system.The medical IOT can help to enhance the patients' self-management and simplify the doctors' follow-up management,thus further improve the hierarchical medical system.The medical IOT will play a critical role in healthcare system in the near future despite some unsolved problems.
The medical internet of things(IOT)is a novel model of medical care.It can help people to achieve remote interactions among hospitals,patients and healthcare devices and further provide a solution to medical issues.Asthma is a common respiratory disease characterized by chronic airway inflammation and hyperreactivity.We can improve the management of asthma with the help of the medical IOT.This review mainly discusses the role of medical IOT in asthma management from the perspectives of patients,doctors and hierarchical medical system.The medical IOT can help to enhance the patients' self-management and simplify the doctors' follow-up management,thus further improve the hierarchical medical system.The medical IOT will play a critical role in healthcare system in the near future despite some unsolved problems.
引文
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[13]张莹莹,崔朝妹,王宁宁.“1+1”哮喘教育管理模式对院外患儿病情控制的影响[J].海南医学,2015(2):284-286.
[14] DUMBILL E.A revolution that will transform how we live,work,and think:an interview with the authors of big data[J].Big Data,2013,1(2):73-77.
[15] THOMPSON DA,LOZANO P,CHRISTAKIS DA.Parent use of touchscreen computer kiosks for child health promotion in community settings[J].Pediatrics,2007,119(3):427-434.
[16]王伟刚,魏新萍,马学东,等.基于物联网的古美社区慢性阻塞性肺疾病患者管理模式的建立[J].复旦学报(医学版),2017,44(3):344-347.
[17] SHETH A,JAIMINI U,THIRUNARAYAN K,et al.Augmented personalized health:how smart data with IoTs and AI is about to change healthcare[J].RTSI,2017:2017.doi:10.1109/RTSI.2017.8065963.
[18] RAM S,ZHANG W,WILLIAMS M,et al.Predicting asthma-related emergency department visits using big data[J].IEEE J Biomed Health Inform,2015,19(4):1216-1223.
[19] ALVING K,WEITZBERG E,LUNDBERG JM.Increased amount of nitric oxide in exhaled air of sthmatics[J].Eur Respir J,1993,6(9):1368-1370.
[20] YOON JW,LEE JH.Toward breath analysis on a chip for disease diagnosis using semiconductor-based chemiresistors:recent progress and future perspectives[J].Lab Chip,2017,17(21):3537-3557.
[21]陈智鸿.物联网医学在哮喘分级诊疗中的应用[M]∥白春学,赵建龙.物联网医学.科学出版社,北京,2016:204-218.
[22]白春学.物联网医学之我见[J].中国医院院长,2015(7):84-85.
[2]杨达伟,张静,白春学.物联网医学的研究现状和展望[J].国际呼吸杂志,2012,32(18):1438-1441.
[3] LIU X, CHENZ. Thepathophysiologicalroleof mitochondrial oxidative stress in lung diseases[J].J Transl Med,2017,15(1):207.
[4]吴玉华,林军伟,周建,等.物联网医学在呼吸系统疾病诊治与管理中的应用现状[J].中国卫生产业,2017,14(26):178-180.
[5] REDDEL HK,LEVY M.Global initiative for asthma scientific committee and dissemination and implementation committee.The GINA asthma strategy report:what’s new for primary care?[J].NPJ Prim Care Respir Med,2015,25:15050.
[6] JIA Y,FANG X,ZHU X,et al.IL-13(+)type 2 innate lymphoid cells correlate with asthma control status and treatment response[J].Am J Respir Cell Mol Biol,2016,55(5):675-683.
[7]中华医学会呼吸病学分会哮喘学组.支气管哮喘防治指南(2016年版)[J].中华结核和呼吸杂志,2016,9(9):675-697.
[8] CHAN YY,WANG P,ROGERS L,et al.The Asthma Mobile Health Study,a large-scale clinical observational study using ResearchKit[J].Nat Biotechnol,2017,35(4):354-362.
[9] CHEN Z,WANG S,EREKOSIMA N,et al.IL-4 confers resistance to IL-27-mediated suppression on CD4+T cells by impairing signal transducer and activator of transcription 1signaling[J].J Allergy Clin Immunol,2013,132(4):912-921.
[10]王政.基于气压传感器的智能口罩呼吸测量技术研究[J].机电信息,2018(21):131-135.
[11] DIEFFENDERFER J,GOODELL H,MILLS S,et al.Lowpower wearable systems for continuous monitoring of environment and health for chronic respiratory disease[J].IEEE J Biomed Health Inform,2016,20(5):1251-1264.
[12]郭锋,郑志刚,田峰.雾霾天气对哮喘病人呼吸功能和气道反应的影响[J].中国伤残医学,2014(7):111-113.
[13]张莹莹,崔朝妹,王宁宁.“1+1”哮喘教育管理模式对院外患儿病情控制的影响[J].海南医学,2015(2):284-286.
[14] DUMBILL E.A revolution that will transform how we live,work,and think:an interview with the authors of big data[J].Big Data,2013,1(2):73-77.
[15] THOMPSON DA,LOZANO P,CHRISTAKIS DA.Parent use of touchscreen computer kiosks for child health promotion in community settings[J].Pediatrics,2007,119(3):427-434.
[16]王伟刚,魏新萍,马学东,等.基于物联网的古美社区慢性阻塞性肺疾病患者管理模式的建立[J].复旦学报(医学版),2017,44(3):344-347.
[17] SHETH A,JAIMINI U,THIRUNARAYAN K,et al.Augmented personalized health:how smart data with IoTs and AI is about to change healthcare[J].RTSI,2017:2017.doi:10.1109/RTSI.2017.8065963.
[18] RAM S,ZHANG W,WILLIAMS M,et al.Predicting asthma-related emergency department visits using big data[J].IEEE J Biomed Health Inform,2015,19(4):1216-1223.
[19] ALVING K,WEITZBERG E,LUNDBERG JM.Increased amount of nitric oxide in exhaled air of sthmatics[J].Eur Respir J,1993,6(9):1368-1370.
[20] YOON JW,LEE JH.Toward breath analysis on a chip for disease diagnosis using semiconductor-based chemiresistors:recent progress and future perspectives[J].Lab Chip,2017,17(21):3537-3557.
[21]陈智鸿.物联网医学在哮喘分级诊疗中的应用[M]∥白春学,赵建龙.物联网医学.科学出版社,北京,2016:204-218.
[22]白春学.物联网医学之我见[J].中国医院院长,2015(7):84-85.