Skip to main content

Future Trends for the Next Generation of Personalized and Integrated Healthcare for Chronic Diseases

  • Chapter
  • First Online:
Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management

Abstract

The rapid advances in point-of-care testing (POCT), mobile healthcare (mH), and smart applications are paving the way toward better healthcare monitoring and management of chronic diseases. In the "not too distant" future, many if not most of the routine tests for chronic diseases could be simply performed by the patients in their homes, offices, and custom settings. The test results are then transmitted securely to the certified healthcare professionals, probably via the Cloud, and stored in the patients’ electronic health record (EHR). The patients and their doctors could see the latest results and trend in the test results, enabling them to take timely decisions and perform the desired intervention for better healthcare management. The interface of mH devices to smartphones (SPs), smartwatches, and other gadgets would further improve the compliance by patients as the care provider could set up customized text alerts and alarm for the tests, medication, and physical/lifestyle/medical intervention. This chapter offers a view of the future trends for next-generation personalized and integrated healthcare for chronic diseases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Vashist SK, Luong JHT. Trends in in vitro diagnostics and mobile healthcare. Biotechnol Adv. 2016;34(3):137–8.

    Article  Google Scholar 

  2. Abegunde DO, Mathers CD, Adam T, Ortegon M, Strong K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet. 2007;370(9603):1929–38.

    Article  Google Scholar 

  3. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from the world health surveys. Lancet. 2007;370(9590):851–8.

    Article  Google Scholar 

  4. IDF Diabetes Atlas: 8th ed. http://diabetesatlas.org/resources/2017-atlas.html. Accessed 18 July 2018.

  5. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–53.

    Article  Google Scholar 

  6. Vashist SK. Too much sitting: a potential health hazard and a global call to action. J Basic Appl Sci. 2015;11:131.

    Article  Google Scholar 

  7. Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian diabetes, obesity and lifestyle study (AusDiab). Diabetes Care. 2008;31(2):369–71.

    Article  Google Scholar 

  8. Owen N, Sparling PB, Healy GN, Dunstan DW, Matthews CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010;85(12):1138–41.

    Article  Google Scholar 

  9. Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105–13.

    Article  Google Scholar 

  10. Vashist SK, Luong JHT. Smartphone-based immunoassays. In: Handbook of immunoassay technologies. Amsterdam: Elsevier; 2018. p. 433–53.

    Chapter  Google Scholar 

  11. Vashist SK, Luppa PB, Yeo LY, Ozcan A, Luong JHT. Emerging technologies for next-generation point-of-care testing. Trends Biotechnol. 2015;33(11):692–705.

    Article  Google Scholar 

  12. Vashist SK, Mudanyali O, Schneider EM, Zengerle R, Ozcan A. Cellphone-based devices for bioanalytical sciences. Anal Bioanal Chem. 2014;406(14):3263–77.

    Article  Google Scholar 

  13. Vashist SK, Schneider EM, Luong JHT. Commercial smartphone-based devices and smart applications for personalized healthcare monitoring and management. Diagnostics (Basel). 2014;4(3):104–28.

    Article  Google Scholar 

  14. Vashist SK, Luong JHT. Diabetes management software and smart applications. In: Point-of-care glucose detection for diabetic monitoring and management. Boca Raton: CRC Press; 2017. p. 135–54.

    Chapter  Google Scholar 

  15. Data Protection. https://ec.europa.eu/info/law/law-topic/data-protection_en. Accessed 18 July 2018.

  16. McAllister M, Dunn G, Payne K, Davies L, Todd C. Patient empowerment: the need to consider it as a measurable patient-reported outcome for chronic conditions. BMC Health Serv Res. 2012;12(1):157.

    Article  Google Scholar 

  17. Househ M, Borycki E, Kushniruk A. Empowering patients through social media: the benefits and challenges. Health Informatics J. 2014;20(1):50–8.

    Article  Google Scholar 

  18. Vashist SK, Luong JHT. Lab-on-a-chip (LOC) immunoassays. In: Handbook of immunoassay technologies. Amsterdam: Elsevier; 2018. p. 415–31.

    Chapter  Google Scholar 

  19. van Susan D, Beulens JW, van der Schouw Yvonne T, Grobbee DE, Nealb B. The global burden of diabetes and its complications: an emerging pandemic. Eur J Cardiovasc Prev Rehabil. 2010;17(1_suppl):s3–8.

    Article  Google Scholar 

  20. WHO Depression Global Burden. http://www.who.int/healthinfo/global_burden_disease/en/. Accessed 18 July 2018.

  21. IDF World Diabetes Facts. http://www.idf.org/worlddiabetesday/toolkit/gp/facts-figures. Accessed 18 July 2018.

  22. WHO Depression. http://www.who.int/mental_health/management/depression/en/. Accessed 18 July 2018.

  23. Nestler EJ. Epigenetics: stress makes its molecular mark. Nature. 2012;490(7419):171–2.

    Article  Google Scholar 

  24. Fleischmann A, Saxena S. Suicide prevention in the WHO mental health gap action programme (mhGAP). Crisis. 2013;34(5):295–6.

    Article  Google Scholar 

  25. Pincus HA, Pettit AR. The societal costs of chronic major depression. J Clin Psychiatry. 2000;62:5–9.

    Google Scholar 

  26. IDF Clinical Guideline Task Force: Global guideline for Type 2 diabetes. http://www.idf.org/webdata/docs/IDF%20GGT2D.pdf. Accessed 18 July 2018.

  27. IDF Clinical Guideline Task Force: Global guideline for Type 2 diabetes. http://www.idf.org/sites/default/files/IDF%20T2DM%20Guideline.pdf. Accessed 18 July 2018.

  28. European Brain Council Depressive disorders in RU. http://www.europeanbraincouncil.org/pdfs/Documents/Depression%20fact%20sheet%20July%202011.pdf. Accessed 18 July 2018.

  29. WHO Global Burden Disease. http://www.who.int/healthinfo/global_burden_disease/GBD_report_2004update_full.pdf. Accessed 18 July 2018.

  30. Mezuk B, Eaton WW, Albrecht S, Golden SH. Depression and type 2 diabetes over the lifespan: a meta-analysis. Diabetes Care. 2008;31(12):2383–90.

    Article  Google Scholar 

  31. Katon WJ, Russo JE, Von Korff M, Lin EH, Ludman E, Ciechanowski PS. Long-term effects on medical costs of improving depression outcomes in patients with depression and diabetes. Diabetes Care. 2008;31(6):1155–9.

    Article  Google Scholar 

  32. Grandy S, Chapman R, Fox K. Quality of life and depression of people living with type 2 diabetes mellitus and those at low and high risk for type 2 diabetes: findings from the study to help improve early evaluation and management of risk factors leading to diabetes (SHIELD). Int J Clin Pract. 2008;62(4):562–8.

    Article  Google Scholar 

  33. Egede LE, Nietert PJ, Zheng D. Depression and all-cause and coronary heart disease mortality among adults with and without diabetes. Diabetes Care. 2005;28(6):1339–45.

    Article  Google Scholar 

  34. Egede LE, Zheng D, Simpson K. Comorbid depression is associated with increased health care use and expenditures in individuals with diabetes. Diabetes Care. 2002;25(3):464–70.

    Article  Google Scholar 

  35. Improved Mental Health Will Dec the Losses. http://www.chex.org.uk/media/resources/mental_health/Mental%20Health%20Promotion%20-%20Building%20an%20Economic%20Case.pdf. Accessed 18 July 2018.

  36. Obesity. http://www.who.int/gho/ncd/risk_factors/obesity_text/en/. Accessed 18 July 2018.

  37. Adult Obesity Facts. https://www.cdc.gov/obesity/data/adult.html. Accessed 18 July 2018.

  38. Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med. 2011;364(8):719–29.

    Article  Google Scholar 

  39. Cancer. http://www.who.int/news-room/fact-sheets/detail/cancer. Accessed 18 July 2018.

  40. Plummer M, de Martel C, Vignat J, Ferlay J, Bray F, Franceschi S. Global burden of cancers attributable to infections in 2012: a synthetic analysis. Lancet Glob Health. 2016;4(9):e609–16.

    Article  Google Scholar 

  41. Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the global burden of disease study 2015. Lancet. 2016;388(10053):1659–724.

    Article  Google Scholar 

  42. Stewart B, Wild CP. World cancer report 2014. Health 2017.

    Google Scholar 

  43. Cardiovascular Diseases (CVDs). http://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds). Accessed 18 July 2018.

  44. Fyhrquist F, Saijonmaa O, Strandberg T. The roles of senescence and telomere shortening in cardiovascular disease. Nat Rev Cardiol. 2013;10(5):274–83.

    Article  Google Scholar 

  45. Samani NJ, van der Harst P. Biological ageing and cardiovascular disease. Heart. 2008;94(5):537–9.

    Article  Google Scholar 

  46. Luepker RV, Murray DM, Jacobs DR Jr, Mittelmark MB, Bracht N, Carlaw R, et al. Community education for cardiovascular disease prevention: risk factor changes in the Minnesota heart health program. Am J Public Health. 1994;84(9):1383–93.

    Article  Google Scholar 

  47. Kahn R, Robertson RM, Smith R, Eddy D. The impact of prevention on reducing the burden of cardiovascular disease. Circulation. 2008;118(5):576–85.

    Article  Google Scholar 

  48. Yusuf S, Reddy S, Ounpuu S, Anand S. Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001;104(22):2746–53.

    Article  Google Scholar 

  49. Sexually Transmitted Infections (STIs). http://www.who.int/en/news-room/fact-sheets/detail/sexually-transmitted-infections-(stis). Accessed 18 July 2018.

  50. de Sanjose S, Diaz M, Castellsague X, Clifford G, Bruni L, Munoz N, et al. Worldwide prevalence and genotype distribution of cervical human papillomavirus DNA in women with normal cytology: a meta-analysis. Lancet Infect Dis. 2007;7(7):453–9.

    Article  Google Scholar 

  51. Newman L, Kamb M, Hawkes S, Gomez G, Say L, Seuc A, et al. Global estimates of syphilis in pregnancy and associated adverse outcomes: analysis of multinational antenatal surveillance data. PLoS Med. 2013;10(2):e1001396.

    Article  Google Scholar 

  52. Tuberculosis. http://www.who.int/news-room/fact-sheets/detail/tuberculosis. Accessed 18 July 2018.

  53. Corbett EL, Watt CJ, Walker N, Maher D, Williams BG, Raviglione MC, et al. The growing burden of tuberculosis: global trends and interactions with the HIV epidemic. Arch Intern Med. 2003;163(9):1009–21.

    Article  Google Scholar 

  54. Dye C, Williams BG. The population dynamics and control of tuberculosis. Science. 2010;328(5980):856–61.

    Article  Google Scholar 

  55. Millard J, Ugarte-Gil C, Moore DA. Multidrug resistant tuberculosis. BMJ. 2015;350:h882.

    Article  Google Scholar 

  56. Zignol M, Hosseini MS, Wright A, Weezenbeek CL, Nunn P, Watt CJ, et al. Global incidence of multidrug-resistant tuberculosis. J Infect Dis. 2006;194(4):479–85.

    Article  Google Scholar 

  57. The End TB Strategy. http://www.who.int/tb/strategy/en/. Accessed 18 July 2018.

  58. Palella FJ Jr, Delaney KM, Moorman AC, Loveless MO, Fuhrer J, Satten GA, et al. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. N Engl J Med. 1998;338(13):853–60.

    Article  Google Scholar 

  59. Fauci AS. The human immunodeficiency virus: infectivity and mechanisms of pathogenesis. Science. 1988;239(4840):617–22.

    Article  Google Scholar 

  60. HIV/AIDS. http://www.who.int/en/news-room/fact-sheets/detail/hiv-aids. Accessed 18 July 2018.

  61. Daley CL, Small PM, Schecter GF, Schoolnik GK, McAdam RA, Jacobs WR Jr, et al. An outbreak of tuberculosis with accelerated progression among persons infected with the human immunodeficiency virus: an analysis using restriction-fragment length polymorphisms. N Engl J Med. 1992;326(4):231–5.

    Article  Google Scholar 

  62. Son D, Lee J, Qiao S, Ghaffari R, Kim J, Lee JE, et al. Multifunctional wearable devices for diagnosis and therapy of movement disorders. Nat Nanotechnol. 2014;9(5):397–404.

    Article  Google Scholar 

  63. Papastergiou M. Exploring the potential of computer and video games for health and physical education: a literature review. Comput Educ. 2009;53(3):603–22.

    Article  Google Scholar 

  64. Peng W, Crouse JC, Lin J-H. Using active video games for physical activity promotion: a systematic review of the current state of research. Health Educ Behav. 2013;40(2):171–92.

    Article  Google Scholar 

  65. Primack BA, Carroll MV, McNamara M, Klem ML, King B, Rich M, et al. Role of video games in improving health-related outcomes: a systematic review. Am J Prev Med. 2012;42(6):630–8.

    Article  Google Scholar 

  66. Godfrey R, Julien M. Urbanisation and health. Clin Med (Lond). 2005;5(2):137–41.

    Article  Google Scholar 

  67. Gong P, Liang S, Carlton EJ, Jiang Q, Wu J, Wang L, et al. Urbanisation and health in China. Lancet. 2012;379(9818):843–52.

    Article  Google Scholar 

  68. WHO launches Global Action Plan on Physical Activity. http://www.who.int/news-room/detail/04-06-2018-who-launches-global-action-plan-on-physical-activity. Accessed 18 July 2018.

  69. Global Action Plan for the Prevention and Control of NCDs 2013–2020. http://www.who.int/nmh/publications/ncd-action-plan/en/. Accessed 18 July 2018.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Vashist, S.K., Djoko, L.G.G., Blincko, S., Luong, J.H.T. (2019). Future Trends for the Next Generation of Personalized and Integrated Healthcare for Chronic Diseases. In: Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. Springer, Cham. https://doi.org/10.1007/978-3-030-11416-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-11416-9_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11415-2

  • Online ISBN: 978-3-030-11416-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics