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The Role of Wearable Devices for the Success of the Healthcare Business: Verification from PRISMA Approach

  • KIM, Ji-Hye (Department of Leisure and Sports Studies, Sahmyook University) ;
  • KANG, Eungoo (Becamex School of Business, Eastern International University)
  • Published : 2022.08.30

Abstract

Purpose: Although numerous research has covered content on trends in the adoption and use of wearable devices, their uses across several sectors such as healthcare, gaming, and fashion, there seems to be a considerable paucity with regard to empirical research focusing on the solutions for factors that undermine the effectiveness of wearable devices in healthcare. The present research aims to highlight what has been covered on wearable devices in healthcare while highlighting the limitations for future research. Research design, data, and methodology -The present authors conducted one of the most famous qualitative literature approach which has been called as PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. The selecting criteria for eligible prior studies was estimated by whether studies are suitable for the current research, identifying they are peer-reviewed and issued by notable publishers between 2017 and 2022. Result - Our results indicated that (1) Increasing the Affordability and User Education on Wearable Devices in Healthcare (2) Tackling the Technological Issues in Wearable Devices to Promote Healthcare Delivery (3) Solving Security and Privacy Issues Associated with Wearable Devices (4) Promoting Standards and Appropriate Regulations for Wearable Devices. Conclusion - To add, resolving the technological issues associated with wearable devices in healthcare will ensure that the new devices in the market will have longer battery life, multiple functions, and enhanced accuracy, thus ensuring that patients receive better care. Necessary interventions are taken on time to avoid any deleterious consequences such as proliferating mortality rates among the different patient groups.

Keywords

References

  1. Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7, e7702. https://doi.org/10.7717/peerj.7702
  2. Akkas, M. A., Sokullu, R., & Cetin, H. E. (2020). Healthcare and patient monitoring using IoT. Internet of Things, 11(September), 100173. https://doi.org/10.1016/j.iot.2020.100173
  3. Al-Turjman, F., & Baali, I. (2019). Machine learning for wearable IoT-based applications: A survey. Transactions on Emerging Telecommunications Technologies, May, e3635.
  4. Angurala, M. (2022). Latest Advancements in Wearable Devices: A Review. Futuristic Design and Intelligent Computational Techniques in Neuroscience and Neuroengineering, 58-64.
  5. Atlam, H. F., & Wills, G. B. (2020). IoT security, privacy, safety and ethics. In Digital twin technologies and smart cities (pp. 123-149). Springer, Cham.
  6. Awotunde, J. B., Jimoh, R. G., Folorunso, S. O., Adeniyi, E. A., Abiodun, K. M., & Banjo, O. O. (2021). Privacy and security concerns in IoT-based healthcare systems. In The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care (pp. 105-134). Springer, Cham.
  7. Bahadori, S., Immins, T., & Wainwright, T. W. (2018). A review of wearable motion tracking systems used in rehabilitation following hip and knee replacement. Journal of rehabilitation and assistive technologies engineering, 5, 1-8.
  8. Baig, M. M., Afifi, S., GholamHosseini, H., & Mirza, F. (2019). A systematic review of wearable sensors and IoT-based monitoring applications for older adults-a focus on ageing population and independent living. Journal of medical systems, 43(8), 1-11. https://doi.org/10.1007/s10916-018-1115-2
  9. Banka, S., Madan, I., & Saranya, S. S. (2018). Smart healthcare monitoring using IoT. International Journal of Applied Engineering Research, 13(15), 11984-11989.
  10. Benson, L. C., Clermont, C. A., Bosnjak, E., & Ferber, R. (2018). The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review. Gait & posture, 63(June), 124-138. https://doi.org/10.1016/j.gaitpost.2018.04.047
  11. Cilliers, L. (2020). Wearable devices in healthcare: Privacy and information security issues. Health information management journal, 49(2-3), 150-156. https://doi.org/10.1177/1833358319851684
  12. Diaz, S., Stephenson, J. B., & Labrador, M. A. (2020). Use of wearable sensor technology in gait, balance, and range of motion analysis. Applied Sciences, 10(1), 234. https://doi.org/10.3390/app10010234
  13. Farahani, B., Firouzi, F., & Chakrabarty, K. (2020). Healthcare IoT. In Intelligent internet of things (pp. 515-545). Springer, Cham.
  14. Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018). Towards the Internet of smart clothing: A review on IoT wearables and garments for creating intelligent connected e-textiles. Electronics, 7(12), 405. https://doi.org/10.3390/electronics7120405
  15. Ferreira, J. J., Fernandes, C. I., Rammal, H. G., & Veiga, P. M. (2021). Wearable technology and consumer interaction: a systematic review and research agenda. Computers in Human Behavior, 118(May), 106710. https://doi.org/10.1016/j.chb.2021.106710
  16. Fetjah, L., Azbeg, K., Ouchetto, O., & Andaloussi, S. J. (2021). Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing. International Journal of Healthcare Information Systems and Informatics, 16(4), 1-18.
  17. Ho, D., Quake, S. R., McCabe, E. R., Chng, W. J., Chow, E. K., Ding, X., & Zarrinpar, A. (2020). Enabling technologies for personalized and precision medicine. Trends in Biotechnology, 38(5), 497-518. https://doi.org/10.1016/j.tibtech.2019.12.021
  18. Indrakumari, R., Poongodi, T., Suresh, P., & Balamurugan, B. (2020). The growing role of the Internet of Things in healthcare wearables. In Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach (pp. 163-194). Academic Press.
  19. Izmailova, E. S., Wagner, J. A., & Perakslis, E. D. (2018). Wearable devices in clinical trials: hype and hypothesis. Clinical Pharmacology & Therapeutics, 104(1), 42-52. https://doi.org/10.1002/cpt.966
  20. Jarusriboonchai, P., & Hakkila, J. (2019, November). Customisable wearables: exploring the design space of wearable technology. In Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia (pp. 1-9).
  21. Jiang, S., Stange, O., Batcke, F. O., Sultanova, S., & Sabantina, L. (2021). Applications of Smart Clothing-a Brief Overview. Communications in Development and Assembling of Textile Products, 2(2), 123-140. https://doi.org/10.25367/cdatp.2021.2.p123-140
  22. Kadhim, K. T., Alsahlany, A. M., Wadi, S. M., & Kadhum, H. T. (2020). An overview of patient's health status monitoring system based on internet of things (IoT). Wireless Personal Communications, 114(3), 2235-2262. https://doi.org/10.1007/s11277-020-07474-0
  23. Karale, A. (2021). The Challenges of IoT Addressing Security, Ethics, Privacy, and Laws. Internet of Things, 15(September), 100420. https://doi.org/10.1016/j.iot.2021.100420
  24. Khakurel, J., Melkas, H., & Porras, J. (2018). Tapping into the wearable device revolution in the work environment: a systematic review. Information Technology & People, 13(3), 791-818. https://doi.org/10.1108/ITP-03-2017-0076
  25. Leliveld, A., & Knorringa, P. (2018). Frugal innovation and development research. The European Journal of Development Research, 30(1), 1-16. https://doi.org/10.1057/s41287-017-0121-4
  26. Lopez, X., Afrin, K., & Nepal, B. (2020). Examining the design, manufacturing and analytics of smart wearables. Medical Devices & Sensors, 3(3), e10087.
  27. Lown, M., Brown, M., Brown, C., Yue, A. M., Shah, B. N., Corbett, S. J., & Little, P. (2020). Machine learning detection of Atrial Fibrillation using wearable technology. PLoS One, 15(1), e0227401. https://doi.org/10.1371/journal.pone.0227401
  28. Lu, L., Zhang, J., Xie, Y., Gao, F., Xu, S., Wu, X., & Ye, Z. (2020). Wearable health devices in health care: narrative systematic review. JMIR mHealth and uHealth, 8(11), e18907. https://doi.org/10.2196/18907
  29. Mukherjee, T., Banerjee, A., Mitra, S., & Mukherjee, T. (2022). COVID-19: In the direction of monitoring the pandemic in India. In Data Science for COVID-19 (pp. 705-728). Academic Press.
  30. Nguyen-Duc, A., Khalid, K., Shahid Bajwa, S., & Lonnestad, T. (2019). Minimum viable products for internet of things applications: common pitfalls and practices. Future Internet, 11(2), 50. https://doi.org/10.3390/fi11020050
  31. Ometov, A., Shubina, V., Klus, L., Skibinska, J., Saafi, S., Pascacio, P., & Lohan, E. S. (2021). A survey on wearable technology: History, state-of-the-art and current challenges. Computer Networks, 193(July), 108074. https://doi.org/10.1016/j.comnet.2021.108074
  32. Poongodi, T., Krishnamurthi, R., Indrakumari, R., Suresh, P., & Balusamy, B. (2020). Wearable devices and IoT. In A handbook of Internet of Things in biomedical and cyber-physical system (pp. 245-273). Springer, Cham.
  33. Quan, X., Liu, J., Roxlo, T., Siddharth, S., Leong, W., Muir, A., ... & Rao, A. (2021). Advances in non-invasive blood pressure monitoring. Sensors, 21(13), 4273. https://doi.org/10.3390/s21134273
  34. Rajendran, S., Chaudhari, S., & Giridhar, S. (2021). Advancements in healthcare using wearable technology. In Computational Intelligence in Healthcare (pp. 83-104). Springer, Cham.
  35. Rath, M., & Pattanayak, B. (2019). Technological improvement in modern health care applications using Internet of Things (IoT) and proposal of novel health care approach. International Journal of Human Rights in Healthcare, 12(2), 148-162. https://doi.org/10.1108/ijhrh-01-2018-0007
  36. Rudd, N. A., Ghanayem, N. S., Hill, G. D., Lambert, L. M., Mussatto, K. A., Nieves, J. A., & Pike, N. A. (2020). Interstage home monitoring for infants with single ventricle heart disease: education and management: a scientific statement from the American Heart Association. Journal of the American Heart Association, 9(16), e014548. https://doi.org/10.1161/JAHA.119.014548
  37. Shirani, F., Groves, C., Henwood, K., Pidgeon, N., & Roberts, E. (2020). 'I'm the smart meter': Perceptions of smart technology amongst vulnerable consumers. Energy Policy, 144(September), 111637. https://doi.org/10.1016/j.enpol.2020.111637
  38. Signorini, M. G., Lanzola, G., Torti, E., Fanelli, A., & Magenes, G. (2018). Antepartum fetal monitoring through a wearable system and a mobile application. Technologies, 6(2), 44. https://doi.org/10.3390/technologies6020044
  39. Smith, B., & Magnani, J. W. (2019). New technologies, new disparities: the intersection of electronic health and digital health literacy. International journal of cardiology, 292(October), 280-282. https://doi.org/10.1016/j.ijcard.2019.05.066
  40. Stewart, R., Watters, B., Horowitz, V., Larson, R. P., Sargent, B., & Uggen, C. (2022). Native Americans and Monetary Sanctions. RSF: The Russell Sage Foundation Journal of the Social Sciences, 8(2), 137-156. https://doi.org/10.7758/RSF.2022.8.2.07
  41. Van Bulck, M., Sierra-Magro, A., Alarcon-Gil, J., Perez-Castillo, A., & Morales-Garcia, J. A. (2019). Novel approaches for the treatment of Alzheimer's and Parkinson's disease. International journal of molecular sciences, 20(3), 719. https://doi.org/10.3390/ijms20030719
  42. Vollmer, S., Mateen, B. A., Bohner, G., Kiraly, F. J., Ghani, R., Jonsson, P., & Hemingway, H. (2020). Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. bmj, 368, 16927.
  43. Wang, L., Lou, Z., Jiang, K., & Shen, G. (2019). Bio-Multifunctional Smart Wearable Sensors for Medical Devices. Advanced Intelligent Systems, 1(5), 1900040. https://doi.org/10.1002/aisy.201900040
  44. Weaver, L. J., & Fasel, C. B. (2018). A systematic review of the literature on the relationships between chronic diseases and food insecurity. Food and Nutrition Sciences, 9(5), 519-541. https://doi.org/10.4236/fns.2018.95040
  45. Xue, Y. (2019). A review on intelligent wearables: Uses and risks. Human Behavior and Emerging Technologies, 1(4), 287-294. https://doi.org/10.1002/hbe2.173
  46. Yang, H., & Lee, H. (2019). Understanding user behavior of virtual personal assistant devices. Information Systems and e Business Management, 17(1), 65-87. https://doi.org/10.1007/s10257-018-0375-1
  47. Zhang, W., Li, J., Wen, Y., & Luo, Y. (2021). Toward a wearable crowdsource system to monitor respiratory symptoms for pandemic early warning. Ieee Network, 35(3), 56-63. https://doi.org/10.1109/MNET.011.2000718
  48. Zou, J., & Schiebinger, L. (2021). Ensuring that biomedical AI benefits diverse populations. EBioMedicine, 67(May), 103358. https://doi.org/10.1016/j.ebiom.2021.103358