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Telemedicine: Digital Communication Tool for Virtual Healthcare During Pandemic

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Recent Innovations in Artificial Intelligence and Smart Applications

Abstract

The emergence of severe acute respiratory Syndrome coronavirus 2 (SARS-CoV-2) completely changed the way of living. Since its eruption, researchers and healthcare professionals are facing challenges in areas of drug therapy and viral spread control. This challenges paves way for the use of information technologies that plays a key role in the control of coronavirus-19 (COVID-19) pandemic. In the current paper, we discussed the concept of telemedicine, importance of telehealth and telemedicine services during the COVID-19 pandemic, challenges faced by healthcare professionals during the COVID-19 pandemic with its solutions through execution of telemedicine. We also dealt with limitations in the implementation of telemedicine services during the COVID-19 pandemic.

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References

  1. L. Van Der Hoek et al., Identification of a new human coronavirus, Nat. Med. 10(4) (2004)

    Google Scholar 

  2. M. Lipsitch, D.L. Swerdlow, L. Finelli, Defining the epidemiology of Covid-19—studies needed. N. Engl. J. Med. 382(13) (2020)

    Google Scholar 

  3. C. Huang et al., Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395(10223) (2020)

    Google Scholar 

  4. F. Jiang, L. Deng, L. Zhang, Y. Cai, C.W. Cheung, Z. Xia, Review of the clinical characteristics of coronavirus disease 2019 (COVID-19). J. Gen. Internal Med. 35(5) (2020)

    Google Scholar 

  5. World Health Organization, Novel Coronavirus (2019-nCoV) WHO Bulletin Situation Report-1. World Health Organ 10 (2020)

    Google Scholar 

  6. A.C. Smith et al., Telehealth for global emergencies: implications for coronavirus disease 2019 (COVID-19). J. Telemed. Telecare 26(5) (2020)

    Google Scholar 

  7. J.E. Hollander, B.G. Carr, Virtually perfect? Telemedicine for Covid-19. N. Engl. J. Med. 382(18) (2020)

    Google Scholar 

  8. T.J. Papadimos et al., Ethics of outbreaks position statement. Part 2: Family-centered care. Crit. Care Med. 46(11) (2018)

    Google Scholar 

  9. W. Li et al., Progression of mental health services during the COVID-19 outbreak in China. Int. J. Biol. Sci. 16(10) (2020)

    Google Scholar 

  10. L. Kang et al., The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. Lancet Psychiatry 7(3) (2020)

    Google Scholar 

  11. V. Chauhan et al., Novel coronavirus (COVID-19): leveraging telemedicine to optimize care while minimizing exposures and viral transmission. J. Emerg. Trauma Shock 13(1) (2020)

    Google Scholar 

  12. R.S. Wax, M.D. Christian, Practical recommendations for critical care and anesthesiology teams caring for novel coronavirus (2019-nCoV) patients. Can. J. Anesth. 67(5) (2020)

    Google Scholar 

  13. X. Zhou et al., The role of telehealth in reducing the mental health burden from COVID-19. Telemed. e-Health 26(4) (2020)

    Google Scholar 

  14. R. Ohannessian, Telemedicine: potential applications in epidemic situations. Eur. Res. Telemed. 4(3) (2015)

    Google Scholar 

  15. C.S. Kruse, N. Krowski, B. Rodriguez, L. Tran, J. Vela, M. Brooks, Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ Open 7(8) (2017)

    Google Scholar 

  16. E.R. Dorsey, E.J. Topol, State of telehealth. N. Engl. J. Med. 375(2) (2016)

    Google Scholar 

  17. World Health Organization, 2010 opportunities and developments report on the second global survey on eHealth Global Observatory for eHealth series—Volume 2 TELEMEDICINE in Member States WHO Library Cataloguing-in-Publication Data. World Health Organ. 2 (2010)

    Google Scholar 

  18. N.K. Bradford, L.J. Caffery, A.C. Smith, Telehealth services in rural and remote Australia: a systematic review of models of care and factors influencing success and sustainability. Rural Remote Health 16(4) (2016)

    Google Scholar 

  19. J. Valle, T. Godby, D.P. Paul, H. Smith, A. Coustasse, Use of smartphones for clinical and medical education. Health Care Manag. (Frederick) 36(3) (2017)

    Google Scholar 

  20. A. Jahanshir, E. Karimialavijeh, H.S. Motahar Vahedi, M. Momeni, Smartphones and medical applications in the emergency department daily practice. Arch. Acad. Emerg. Med. 7(1) (2019)

    Google Scholar 

  21. V.A. Canady, COVID‐19 outbreak represents a new way of mental health service delivery. Ment. Health Wkly. 30(12) (2020)

    Google Scholar 

  22. T. Greenhalgh, J. Wherton, S. Shaw, C. Morrison, Video consultations for covid-19. BMJ 368 (2020)

    Google Scholar 

  23. B.L. Charles, Telemedicine can lower costs and improve access. Healthc. Financ. Manag. 54(4) (2000)

    Google Scholar 

  24. A. Mehrotra, A.B. Jena, A.B. Busch, J. Souza, L. Uscher-Pines, B.E. Landon, Utilization of telemedicine among rural Medicare beneficiaries. JAMA—J. Am. Med. Assoc. 315(18) (2016)

    Google Scholar 

  25. H.S. Sauers-Ford et al., Acceptability, usability, and effectiveness: a qualitative study evaluating a pediatric telemedicine program. Acad. Emerg. Med. 26(9) (2019)

    Google Scholar 

  26. J. Portnoy, M. Waller, T. Elliott, Telemedicine in the Era of COVID-19. J. Allergy Clin. Immunol.: Pract. 8(5) (2020)

    Google Scholar 

  27. A.M. Morenz, S. Wescott, A. Mostaghimi, T.D. Sequist, M. Tobey, Evaluation of barriers to telehealth programs and dermatological care for American Indian individuals in rural communities. JAMA Dermatol. 155(8) (2019)

    Google Scholar 

  28. T. Greenhalgh, G.C.H. Koh, J. Car, Covid-19: a remote assessment in primary care. BMJ 368 (2020)

    Google Scholar 

  29. A.A. Alqudah, M. Al-Emran, K. Shaalan, Technology acceptance in healthcare: a systematic review. Appl. Sci. 11(22), 1–40 (2021)

    Article  Google Scholar 

  30. T. Greenhalgh et al., Virtual online consultations: advantages and limitations (VOCAL) study. BMJ Open 6(1), e009388 (2016)

    Article  Google Scholar 

  31. Eurosurveillance Editorial Team, Latest updates on COVID-19 from the European Centre for Disease Prevention and Control. Euro Surveill. 25(6) (2020)

    Google Scholar 

  32. R. Ohannessian, T.A. Duong, A. Odone, Global telemedicine implementation and integration within health systems to fight the COVID-19 pandemic: a call to action. JMIR Public Health Surveill. 6(2) (2020)

    Google Scholar 

  33. A.R. Tuite, I.I. Bogoch, R. Sherbo, A. Watts, D. Fisman, K. Khan, Estimation of coronavirus disease 2019 (COVID-19) burden and potential for international dissemination of infection from Iran. Ann. Internal Med. 172(10) (2020)

    Google Scholar 

  34. B. Udugama et al., Diagnosing COVID-19: the disease and tools for detection. ACS Nano 14(4) (2020)

    Google Scholar 

  35. Z.S.Y. Wong, J. Zhou, Q. Zhang, Artificial intelligence for infectious disease big data analytics. Infect. Dis. Health 24(1) (2019)

    Google Scholar 

  36. Flu & Ebola Map | Virus & Contagious Disease Surveillance. Accessed 10 Jan 2022

    Google Scholar 

  37. Surveillance Outbreak Response Management and Analysis System (SORMAS). Accessed 1 Jan 2022

    Google Scholar 

  38. K. Sun, J. Chen, C. Viboud, Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study. Lancet Digit. Heal. 2(4) (2020)

    Google Scholar 

  39. L. Qin et al., Prediction of number of cases of 2019 novel coronavirus (COVID-19) using social media search index. Int. J. Environ. Res. Public Health 17(7) (2020)

    Google Scholar 

  40. I.I. Bogoch, A. Watts, A. Thomas-Bachli, C. Huber, M.U.G. Kraemer, K. Khan, Potential for global spread of a novel coronavirus from China. J. Travel Med. 27(2) (2020)

    Google Scholar 

  41. B. McCall, COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread. Lancet Digit. Health 2(4) (2020)

    Google Scholar 

  42. X. Zhang, H. Saleh, E.M.G. Younis, R. Sahal, A.A. Ali, Predicting coronavirus pandemic in real-time using machine learning and big data streaming system. Complexity 2020, 1–10 (2020)

    Google Scholar 

  43. M. Zivkovic et al., COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach. Sustain. Cities Soc. 66 (2021)

    Google Scholar 

  44. A.A. AlQudah, M. Al-Emran, K. Shaalan, Medical data integration using HL7 standards for patient’s early identification. PLoS One 16(12), 3–8 (2021)

    Google Scholar 

  45. Check your symptoms and find the right care | Buoy. Accessed 10 Jan 2022

    Google Scholar 

  46. Lark Health: Digital Care Management & Prevention Platform. Accessed 10 Jan 202

    Google Scholar 

  47. A. Yan, Y. Zou, D.A. Mirchandani, How hospitals in mainland China responded to the outbreak of COVID-19 using information technology-enabled services: an analysis of hospital news webpages. J. Am. Med. Inform. Assoc. 27(7) (2020)

    Google Scholar 

  48. G. Al-Emran, M. Al-Kabi, M.N. Marques, A survey of using machine learning algorithms during the COVID-19 pandemic, in Emerging Technologies During the Era of COVID-19 Pandemic, ed. by G. Arpaci, I. Al-Emran, M.A. Al-Sharafi, M. Marques (Springer, Cham, 2021), pp. 1–8

    Google Scholar 

  49. I. Arpaci, S. Huang, M. Al-Emran, M.N. Al-Kabi, M. Peng, Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms. Multimed. Tools Appl. 80(8), 11943–11957 (2021)

    Article  Google Scholar 

  50. M. Al-Emran, J.M. Ehrenfeld, Breaking out of the box: wearable technology applications for detecting the spread of COVID-19. J. Med. Syst. 45(2), 19–20 (2021)

    Article  Google Scholar 

  51. A.S.R. Srinivasa Rao, J.A. Vazquez, Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine. Infect. Control Hosp. Epidemiol. 41(7) (2020)

    Google Scholar 

  52. A. Zahedi, A. Salehi-Amiri, N.R. Smith, M. Hajiaghaei-Keshteli, Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic. Appl. Soft Comput. 104 (2021)

    Google Scholar 

  53. G. D’Angelo, F. Palmieri, Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images. Neural Comput. Appl. (2021)

    Google Scholar 

  54. S. Chen et al., Fangcang shelter hospitals: a novel concept for responding to public health emergencies. Lancet 395(10232) (2020)

    Google Scholar 

  55. G. Yao, X. Zhang, H. Wang, J. Li, J. Tian, L. Wang, Practice and thinking of the informationized cabin hospitals during the novel coronavirus pneumonia period. Chin. J. Hosp. Adm. 36, 8 (2020)

    Google Scholar 

  56. X. Song, X. Liu, C. Wang, The role of telemedicine during the COVID-19 epidemic in China—experience from Shandong province. Crit. Care 24(1) (2020)

    Google Scholar 

  57. Z. Hong et al., Telemedicine during the COVID-19 pandemic: experiences from Western China. J. Med. Internet Res. 22(5) (2020)

    Google Scholar 

  58. M. Mourad, S. Bousleiman, R. Wapner, C. Gyamfi-Bannerman, Conducting research during the COVID-19 pandemic. Semin. Perinatol. 44(7) (2020)

    Google Scholar 

  59. G.S. Kienle et al., Addressing COVID-19 challenges in a randomised controlled trial on exercise interventions in a high-risk population. BMC Geriatr. 21(1) (2021)

    Google Scholar 

  60. A.J. Bokolo, Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic. Ir. J. Med. Sci. 190(1), 1–10 (2021)

    Article  Google Scholar 

  61. S. Koch, Home telehealth—current state and future trends. Int. J. Med. Inform. 75(8) (2006)

    Google Scholar 

  62. S.R. Isabalija, V. Mbarika, G.M. Kituyi, A framework for sustainable implementation of E-medicine in transitioning countries Int. J. Telemed. Appl. 2013 (2013)

    Google Scholar 

  63. A. Doshi, Y. Platt, J.R. Dressen, B.K. Mathews, J.C. Siy, Keep calm and log on: telemedicine for COVID-19 pandemic response. J. Hosp. Med. 15(5) (2020)

    Google Scholar 

  64. M. Sodhi, Telehealth policies impacting federally qualified health centers in face of COVID-19. J. Rural Health 37(1), 158–160 (2021)

    Article  Google Scholar 

  65. H. Cho, D. Ippolito, Y.W. Yu, Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-Offs (2020)

    Google Scholar 

  66. J. Wosik et al., Telehealth transformation: COVID-19 and the rise of virtual care. J. Am. Med. Inform. Assoc. 27(6) (2020)

    Google Scholar 

  67. J. Torous, K.J. Myrick, N. Rauseo-Ricupero, J. Firth, Digital mental health and COVID-19: using technology today to accelerate the curve on access and quality tomorrow. JMIR Mental Health 7(3) (2020)

    Google Scholar 

  68. E. Whaibeh, H. Mahmoud, H. Naal, Telemental health in the context of a pandemic: the COVID-19 experience. Curr. Treat. Opt. Psychiatry 7(2) (2020)

    Google Scholar 

  69. R.T. Goins, U. Kategile, K.C. Dudley, Telemedicine rural elderly, and policy issues. J. Aging Soc. Policy 13(4) (2001)

    Google Scholar 

  70. K.I. Adenuga, Telemedicine system: service adoption and implementation issues in Nigeria. Indian J. Sci. Technol. 13(12), 1321–1327 (2020)

    Article  Google Scholar 

  71. J.H. Wright, R. Caudill, Remote treatment delivery in response to the COVID-19 pandemic. Psychother. Psychosom. 89(3) (2020)

    Google Scholar 

  72. J. Gutierrez, E. Kuperman, P.J. Kaboli, Using telehealth as a tool for rural hospitals in the COVID-19 pandemic response. J. Rural Health 37(1), 161–164 (2021)

    Article  Google Scholar 

  73. S. Banskota, M. Healy, E.M. Goldberg, 15 smartphone apps for older adults to use while in isolation during the Covid-19 pandemic. West. J. Emerg. Med. 21(3) 2020.

    Google Scholar 

  74. A. Kichloo et al., Telemedicine, the current COVID-19 pandemic and the future: a narrative review and perspectives moving forward in the USA. Fam. Med. Commun. Health 8(3) (2020)

    Google Scholar 

  75. A.M. Ansary, J.N. Martinez, J.D. Scott, The virtual physical exam in the 21st century. J. Telemed. Telecare 27(6) (2021)

    Google Scholar 

  76. P. Mansouri-Rad, M.A. Mahmood, S.E. Thompson, K. Putnam, Culture matters: factors affecting the adoption of telemedicine, in Proceedings of the Annual Hawaii International Conference on System Sciences (2013)

    Google Scholar 

  77. J. Humphreys et al., Rapid implementation of inpatient telepalliative medicine consultations during COVID-19 pandemic. J. Pain Symptom Manag. 60(1) (2020)

    Google Scholar 

  78. K. Okereafor, O. Adebola, R. Djehaiche, M. El, B. El, Exploring the Potentials of Telemedicine and Other Non-contact Electronic Health Technologies in Controlling the Spread of the Novel Coronavirus Disease (COVID-19) (2020)

    Google Scholar 

  79. S. Das, A. Mukhopadhyay, Security and privacy challenges in telemedicine, CSI Commun. (2011)

    Google Scholar 

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Correspondence to Lakshmi Narasimha Gunturu .

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Gunturu, L.N., Pamayyagari, K., Nimbagal, R.N. (2022). Telemedicine: Digital Communication Tool for Virtual Healthcare During Pandemic. In: Al-Emran, M., Shaalan, K. (eds) Recent Innovations in Artificial Intelligence and Smart Applications. Studies in Computational Intelligence, vol 1061. Springer, Cham. https://doi.org/10.1007/978-3-031-14748-7_17

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