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Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare pp 155–185Cite as

E-Health in China

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Abstract

Chronic diseases are currently becoming the primary threat to human health in the world, especially in China. General treatment dilemma, potential aging problem, prevention, and healthcare problem set limits to the development of modern Chinese medicine. To solve these problems, Medical Internet of Things (MIoT) have emerged in response to the changing needs and conditions. This technology has been successfully applied in the diagnosis, treatment, and management several diseases, such as chronic obstructive pulmonary disease , obstructive sleep apnea hypopnea syndrome , and lung cancer . During the diagnosis, treatment, and management processes, based on cloud and terminal devices, patient information will be stored, transmitted, and handled as “big data .” Moreover, the application of MIoT will offer protection for Precision Medicine . Furthermore, MIoT will promote the development of modern medicine and improve human health.

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References

  1. Bai CX (2014) Changing the service mode of community and specialist doctors: the deep effect of Medical Internet of Things. Int J Resp 34(12):881–882

    Google Scholar 

  2. Benger JA (2001) Review of telemedicine in accident and emergency: the story so far. J Accid Emerg Med 17(3):157–164

    Article  Google Scholar 

  3. Ansari N, Fong B, Zhang YT (2006) Wireless technology advances and challenges for telemedicine. IEEE Commun Mag 44(4):39–40

    Article  Google Scholar 

  4. Bamberg SJM, Benbasat AY, Scarborough DM, Krebs DE, Paradiso JA (2008) Gait analysis using a shoe-integrated wireless sensor system. IEEE T on Inf Technol in B 12(4):413–423

    Article  Google Scholar 

  5. Blackwell A (2006) Robot to perform underwater surgery, National Post (Canada) 7 April 2006

    Google Scholar 

  6. Brenner R, Bartholomew L (2005) Communication errors in radiology: a liability cost analysis. J Am Coll Radiol 2(5):428–431

    Article  Google Scholar 

  7. Hirata A, Fujiwara O, Nagaoka T, Watanabe S (2010) Estimation of whole-body average SAR in human models due to plane-wave exposure at resonance frequency. IEEE Trans Electromagn C 52(1):41–48

    Article  Google Scholar 

  8. Li HB, Kohno R (2008). Body area network and its standardization at IEEE 802.15.BAN. In: István F, Bitó J, Bakki P (ed) Advances in mobile and wireless communications. Views of the 16th IST mobile wireless communication summit. Lecture notes in electrical engineering, vol 16, no. 4, pp 223–238. Springer, Berlin

    Google Scholar 

  9. Martinez AW, Philips ST, Carrilho E, Thomas SW, Sindi H, Whitesides GM (2008) Simple telemedicine for developing regions: camera phones and paper-based microfluidic devices for real-time, off-site diagnosis. Anal Chem 80(10):3699–3707

    Article  Google Scholar 

  10. Tachakra S, Banitsas KA, Tachakra F (2006) Performance of a wireless telemedicine system in a hospital accident and emergency department. J Telemed and Telecare 12(6):298–302

    Article  Google Scholar 

  11. Wang Q, Tayamachi T, Kimura I, Wang J (2009) An on-body channel model for UWB body area communications for various postures. IEEE Trans Antennas Propag 57(4):991–998

    Article  Google Scholar 

  12. Yang D, Zhang J, Bai CX (2012) Progress and prospect of the medical internet of things. Int Respir 32(18):1438–1440

    Google Scholar 

  13. Bai CX (2013) The role of medical internet of things in monitoring pulmonary function follow-up. China Med News 28(16):14

    Google Scholar 

  14. Fang XC, Wang XD, Bai CX (2011) COPD in China: Tthe burden and importance of proper management (Special Feature). Chest 139(4):920–929

    Article  Google Scholar 

  15. Cai BQ, Cai SX, Chen RC et al (2014) Expert consensus on acute exacerbation of chronic obstructive pulmonary disease in the People’s Republic of China. Int J COPD 9:381–395

    Google Scholar 

  16. Bai CX (2014) Platform for changing service model of community and specialist physician: medical Internet of things. Int J Resp 34(12):881–882

    Google Scholar 

  17. Bai CX (2013) Prompting popularity and improvement of pulmonary function by Medical Internet of things. Chin J Pract Intern Med S1:19

    Google Scholar 

  18. Chronic obstructive pulmonary disease Committee, Respiratory Society, Chinese Medical Association. Guideline for diagnosis and treatment of chronic obstructive pulmonary disease (Version 2013). Chin J Tuberc Respir Dis 36(4):255–264

    Google Scholar 

  19. Vestbo J, Hurd SS, Agusti AG, Jones PW, Vogelmeier C, Anzueto A, Barnes PJ, Fabbri LM, Martinez FJ, Nishimura M, Stockley RA, Sin DD, Rodriguez-Roisin R (2013) Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: Gold executive summary. Am Respis Crit Care 187:347–365

    Article  Google Scholar 

  20. Zhang J, Song YL, Bai CX (2013) MIOTIC study: a prospective, multicenter, randomized study to evaluate the long-term efficacy of mobile phone-based Internet of Things in the management of patients with stable COPD. Int J COPD 8:433–438

    Article  Google Scholar 

  21. Jun S, Ping Y, Wang YQ et al (2014) Chinese waterpipe smoking and the risk of chronic obstructive pulmonary disease. Chest 146(4):924–931. doi:10.1378/chest.13-1499

    Article  Google Scholar 

  22. Zhang J, Lin XF, Bai CX (2014) Comparison of clinical features between non-smokers with COPD and smokers with COPD: a retrospective observational study. Int J Chron Obstruct Pulmon Dis 9:57–63

    Article  Google Scholar 

  23. Yaggi HK, Strohl KP (2010) Adult obstructive sleep apnea/hypopnea syndrome: definitions, risk factors, and pathogenesis. Clin Chest Med 31(2):179–186

    Article  Google Scholar 

  24. Li SQ, Bai CX (2013) Expert consensus for Internet of things in diagnosis and treatment of sleep-disordered breathing. Chinese J Asthma 7(2):76–79

    Google Scholar 

  25. Sleep Respiratory Disorder Study Group, Respiratory Disease Branch, Shanghai Medical Association (2003) Prevalence of obstructive sleep apnea-hypopnea syndrome in Chinese adult aged over 30 ys in Shanghai. Chin J Tuberc Respir Dis 26(5):268–272

    Google Scholar 

  26. Epstein LJ, Kristo D, Strollo PJ et al (2009) Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults. J Clin Sleep Med 5(3):263–276

    Google Scholar 

  27. Sleep-disordered breathing Committee, Respiratory Society, Chinese Medical Association (2012) Guideline for diagnosis and treatment of obstructive sleep apnea hypopnea syndrome (2011 Version). Chin J Tuberc Respir Dis 35(1):9–12

    Google Scholar 

  28. Sleep-disordered breathing Committee, Respiratory Society, Chinese Medical Association (2012) Suggestion for building and management sleep-disordered breathing laboratory as well as personal training. Chin J Tuberc Respir Dis 35(1):19–23

    Google Scholar 

  29. Pang KP, Terris DJ (2006) Screening for obstructive sleep apnea: an evidence-based analysis. Am J Otolaryngol 27(2):112–118

    Article  Google Scholar 

  30. Hu YC, Zhang Jin (2010) Evaluation of the epworth sleeping scale in diagnosis of obstructive sleep apnea-hypopnea syndrome. Int J Resp 30(15):936–938

    Google Scholar 

  31. Lu XP, Zhang C, Ma J et al (2011) Application of Berlin questionnaire in the screening of obstructive sleep apnea hypopnea syndrome. Chin J Tuberc Respir Dis 34(7):515–519

    Google Scholar 

  32. Lung cancer committee, Respiratory Society, Chinese Medical Association (2014) Chinese expert consensus for early diagnosis of primary lung cancer (Draft). Chin J Tuberc Respir Dis 37(3):172–176

    Google Scholar 

  33. Bai CX (2013) Enhance the study of early diagnosis and prognosis of lung cancer. Natl Med J China 93(38)

    Google Scholar 

  34. Bai CX (2013) Three plus two diagnosis for pulmonary nodules. Int J Resp 33:401–402

    Google Scholar 

  35. Zhang Y, Hong QY, Shi WB et al (2013) Value of low-dose spiral computed tomography in lung cancer screening. Natl Med J China 93(38)

    Google Scholar 

  36. She J, Yang P, Hong QY, Bai CX (2013) Lung cancer in China: challenges and interventions. Chest 143(4):1117–1126

    Article  Google Scholar 

  37. Ost D, Fein AM, Feinsilver SH (2003) Clinical practice: the solitary pulmonary nodule. N Engl J Med 348:2535–2542

    Article  Google Scholar 

  38. McWilliams A, Mayo J, MacDonald S, leRiche JC, Palcic B, Szabo E, Lam S (2003) Lung cancer screening: a different paradigm. Am J Respir Crit Care Med 168:1167–1173

    Article  Google Scholar 

  39. van Klaveren RJ, Oudkerk M, Prokop M, Scholten ET, Nackaerts K, Vernhout R, van Iersel CA, van den Bergh KA, van ’t Westeinde S, van der Aalst C et al (2009) Management of lung nodules detected by volume CT scanning. N Engl J Med 361:2221–2229

    Google Scholar 

  40. National Lung Screening Trial Research Team, Aberle DR, Berg CD, Black WC, Church TR, Fagerstrom RM, Galen B, Gareen IF, Gatsonis C, Goldin J et al (2011) The national lung screening trial: overview and study design. Radiology 258:243–253

    Google Scholar 

  41. Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD (2011) Reduced lung cancer mortality with low-dose computed tomographic screening. N Engl J Med 365:395–409

    Article  Google Scholar 

  42. Almeida FA, Uzbeck M, Ost D (2010) Initial evaluation of the nonsmall cell lung cancer patient: diagnosis and staging. Curr Opin Pulm Med 16:307–314

    Article  Google Scholar 

  43. Ost D, Fein A (2004) Management strategies for the solitary pulmonary nodule. Curr Opin Pulm Med 10:272–278

    Article  Google Scholar 

  44. Gould MK, Ananth L, Barnett PG (2007) A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules. Chest 131:383–388

    Article  Google Scholar 

  45. Niho S, Fujii H, Murakami K, Nagase S, Yoh K, Goto K, Ohmatsu H, Kubota K, Sekiguchi R, Nawano S et al (2007) Detection of unsuspected distant metastases and/or regional nodes by FDG-PET (corrected) scan in apparent limited-disease small-cell lung cancer. Lung Cancer 57:328–333

    Article  Google Scholar 

  46. Steinfort DP, Khor YH, Manser RL, Irving LB (2011) Radial probe endobronchial ultrasound for the diagnosis of peripheral lung cancer: systematic review and meta-analysis. Eur Respir J 37:902–910

    Article  Google Scholar 

  47. Gildea TR, Mazzone PJ, Karnak D, Meziane M, Mehta AC (2006) Electromagnetic navigation diagnostic bronchoscopy: a prospective study. Am J Respir Crit Care Med 174:982–989

    Article  Google Scholar 

  48. Shulman L, Ost D (2007) Advances in bronchoscopic diagnosis of lung cancer. Curr Opin Pulm Med 13:271–277

    Article  Google Scholar 

  49. Schwarz Y, Greif J, Becker HD, Ernst A, Mehta A (2006) Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images: the first human study. Chest 129:988–994

    Article  Google Scholar 

  50. Makris D, Scherpereel A, Leroy S, Bouchindhomme B, Faivre JB, Remy J, Ramon P, Marquette CH (2007) Electromagnetic navigation diagnostic bronchoscopy for small peripheral lung lesions. Eur Respir J 29:1187–1192

    Article  Google Scholar 

  51. Eberhardt R, Anantham D, Herth F, Feller-Kopman D, Ernst A (2007) Electromagnetic navigation diagnostic bronchoscopy in peripheral lung lesions. Chest 131:1800–1805

    Article  Google Scholar 

  52. Seijo LM, de Torres JP, Lozano MD, Bastarrika G, Alcaide AB, Lacunza MM, Zulueta JJ (2010) Diagnostic yield of electromagnetic navigation bronchoscopy is highly dependent on the presence of a bronchus sign on CT imaging: results from a prospective study. Chest 138:1316–1321

    Article  Google Scholar 

  53. Freixinet JL, Varela G, Molins L, Rivas JJ, Rodrı´guez-Paniagua JM, de Castro PL, Izquierdo JM, Torres J (2011) Benchmarking in thoracic surgery. Eur J Cardiothorac Surg 40:124–129

    Google Scholar 

  54. Kates M, Swanson S, Wisnivesky JP (2011) Survival following lobectomy and limited resection for the treatment of stage I non-small cell lung cancer, ¼ 1 cm in size: a review of seer data. Chest 139:491–496

    Article  Google Scholar 

  55. Ashraf H, Dirksen A, Loft A et al (2011) Combined use of positron emission tomography and volume doubling time in lung cancer screening with low-dose CT scanning. Thorax 66(4):315–319

    Article  Google Scholar 

  56. Gould MK, Donington J, Lynch WR et al (2013) Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. CHEST 143(5)(Suppl):e93S–e120S

    Google Scholar 

  57. Liang Yutao (2002) Current situation and progress of medical information education. Med Inform 15(03):163–165

    Google Scholar 

  58. Zhang SJ, Hu SQ (2006) Status quo of medical information education in China’s higher education institution: an investigation. Chin J Med Libr Inform Sci 15(06):51–54

    Google Scholar 

  59. Baker AM, Lafata JE, Ward RE et al (2001) A Web-Based diabetes care management support system. Joint Comm J Qual Improv 27(4):179–190

    Google Scholar 

  60. Hobbs G, Bauer JC, Keillor AR (2003) New perspectives on the quality of care: reducing medical errors through cultural change and clinical transformation. Medscape Money Med 4(2)

    Google Scholar 

  61. Zhuo Z, Zhai W, Cai D et al (2014) Research on integrated application of tumor: magnetic induction hyperthermia treatment planning system and modern Med Inform Syst 31(1):187–191

    Google Scholar 

  62. Zhi YJ, Zhang H, Xie YM et al (2013) Clinical outcomes of parenterally administered Shuxuetong: analysis of hospital information system data. China J Chin Med 38(18):3116–3120

    Google Scholar 

  63. Wang LX, Tang H, Xie YM et al (2013) Analysis of questionably allergic factors to parenterally administered shenmai–a nested case control study using hospital information system data. China J Chin Med 38(18):3019–3023

    Google Scholar 

  64. Butler JL, Mitchell C, Friedman CR, Scripp RM, Watz CG (2002) Collaboration between public health and law enforcement: New Paradigms and Partnerships for Bioterrorism Planning and Response. Emerg Infect Dis 8(10):1152–115

    Article  Google Scholar 

  65. Inglesby TV, O’Toole T, Henderson DA, Bartlett JG, Ascher MS, Eitzen E et al (2002) Anthrax as a biological weapon, 2002. Updated recommendations for management. JAMA 287:2236–2252

    Article  Google Scholar 

  66. Quenemoen LE, Davis YM, Malilay J, Sinks T, Noji EK, Klitzman S (1996) The World Trade Center bombing: injury prevention strategies for high-rise building fires. Disasters 20:125–132

    Article  Google Scholar 

  67. Sidel VW, Cohen HW, Gould RM (2001) Good intentions and the road to bioterrorism preparedness. Am J Public Health 91:716–718

    Article  Google Scholar 

  68. Richarsa EP (2002) Collaboration between public heath and law enforcement: the constitutional challenge. Emerg Infect Dis 8(10):1157–1159

    Article  Google Scholar 

  69. Moulton AD, Gottfried RN, Goodman RA, Murphy AM, Rawson RD (2003) What is public health legal preparedness? J Law Med Ethics 31(4):672–83

    Google Scholar 

  70. Gionis TA, Wecht C, Marshall LW Jr (2007) Public health law and disaster medicine: understanding the legal environment. Am J Disaster Med 2(2):64–73

    Google Scholar 

  71. Gostin LO, Sapsin JW, Teret SP, Burris S, Mair JS, Hodge JG Jr, Vernick JS (2002) The Model State Emergency Health Powers Act: planning for and response to bioterrorism and naturally occurring infectious diseases. JAMA 288(5):622–628

    Google Scholar 

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Authors and Affiliations

  1. Pulmonary Department, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China

    Chunxue Bai

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  1. Chunxue Bai
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Correspondence to Chunxue Bai .

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Editors and Affiliations

  1. School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom

    Christoph Thuemmler

  2. Zhongshan Hopsital, Fudan University, Shanghai, China

    Chunxue Bai

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Bai, C. (2017). E-Health in China. In: Thuemmler, C., Bai, C. (eds) Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare. Springer, Cham. https://doi.org/10.1007/978-3-319-47617-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-47617-9_8

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