Enabling Healthcare 4.0 for Pandemics. Группа авторов
care. HCS 4.0 includes intelligent, adaptable systems that operate timely with data provided by AI, IoT, and other automatic techniques. HCS 4.0 provides digital solutions for unique areas, for example, different production and automatic information techniques for gathering, sharing, storing, exploring, and adequately monitoring health-related data. Such innovative techniques could properly isolate infected patients, decreasing death rates, speeding up developing drugs, managing procedures, and care. With the help of such techniques, individuals could work virtually from homes; identifying novel working environments. HCS 4.0 could function distantly via intelligent technologies for fighting the COVID-19 pandemic. Such a revolution speeds up the digital transformation with enhanced public safety through virtual clinics that apply remote monitoring and telemedicine consultations, hence, decreasing patients’ physical crowding in healthcare facilities. This chapter discussed applying HCS 4.0 techniques in managing the COVID-19 pandemic.
References
1. Ienca, M. and Vayena, E., On the responsible use of digital data to tackle the COVID-19 pandemic. Nat. Med., 26, 4, Art. no. 4, Apr. 2020.
2. Manogaran, G., Thota, C., Lopez, D., Sundarasekar, R., Big Data Security Intelligence for Healthcare Industry 4.0, in: Cybersecurity for Industry 4.0: Analysis for Design and Manufacturing, L. Thames, and D. Schaefer, (Eds.), pp. 103–126, Springer International Publishing, Cham, 2017.
3. Zeng, J., Huang, J., Pan, L., How to balance acute myocardial infarction and COVID-19: the protocols from Sichuan Provincial People’s Hospital. Intensive Care Med., 46, 6, 1111–1113, 2020.
4. Ruan, Q., Yang, K., Wang, W., Jiang, L., Song, J., Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med., 46, 5, 846–848, 2020.
5. Haleem, A., Javaid, M., Vaishya, R., Industry 4.0 and its applications in orthopaedics. J. Clin. Orthop. Trauma, 10, 3, 615–616, Jun. 2019.
6. Haleem, A. and Javaid, M., Additive Manufacturing Applications in Industry 4.0: A Review. J. Ind. Integr. Manage., 04, 04, 1930001, Aug. 2019.
7. Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., Vaish, A., Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes Metab. Syndr., 14, 4, 419–422, 2020.
8. Alloghani, M., Al-Jumeily, D., Hussain, A., Aljaaf, A.J., Mustafina, J., Petrov, E., Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0, in: 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Sep. 2018, pp. 64–70.
9. Fisher, D. and Wilder-Smith, A., The global community needs to swiftly ramp up the response to contain COVID-19. Lancet Lond. Engl., 395, 10230, 1109–1110, 04 2020.
10. Li, Q., Feng, W., Quan, Y.-H., Trend and forecasting of the COVID-19 out-break in China. J. Infect., 469–496, 2020. Accessed: Jul. 10, 2020. [Online]. Available: https://dx.doi.org/10.1016/j.jinf.2020.02.014.
11. Morris, A., Monitoring COVID-19 from hospital to home: First wearable device continuously tracks key symptoms, May 04, 2020, https://news.north-western.edu/stories/2020/04/monitoring-covid-19-from-hospital-to-home-first-wearable-device-continuously-tracks-key-symptoms/(accessed Jul. 13, 2020).
12. Haleem, A., Javaid, M., Vaishya, R., Deshmukh, S.G., Areas of academic research with the impact of COVID-19. Am. J. Emerg. Med., 38, 7, 1524–1526, Jul. 2020.
13. Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., Mankodiya, K., Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Gener. Comput. Syst., 78, 659–676, Jan. 2018.
14. Qi, J., Yang, P., Min, G., Amft, O., Dong, F., Xu, L., Advanced internet of things for personalised healthcare systems: A survey. Pervasive Mob. Comput., 41, 132–149, Oct. 2017.
15. Zhou, C. et al., COVID-19: Challenges to GIS with Big Data. Geogr. Sustain., 1, 1, 77–87, Mar. 2020.
16. Bragazzi, N.L., Dai, H., Damiani, G., Behzadifar, M., Martini, M., Wu, J., How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. Int. J. Environ. Res. Public Health, 17, 9, 02 2020.
17. Liu, S., Xie, M., Ye, Z., Combating COVID-19—How Can AR Telemedicine Help Doctors More Effectively Implement Clinical Work. J. Med. Syst., 44, 9, 141, Jul. 2020.
18. Singh, R.P., Javaid, M., Kataria, R., Tyagi, M., Haleem, A., Suman, R., Significant applications of virtual reality for COVID-19 pandemic. Diabetes Metab. Syndr. Clin. Res. Rev., 14, 4, 661–664, Jul. 2020.
19. Tuli, S., Tuli, S., Tuli, R., Gill, S.S., Predicting the growth and trend of COVID-
19 pandemic using machine learning and cloud computing. Internet Things, 11, 100222, Sep. 2020.
20. Fiani, B. et al., Impact of robot-assisted spine surgery on healthcare quality and neurosurgical economics: A systemic review. Neurosurg. Rev., 43, 1, 17–25, Feb. 2020.
21. Yang, G.-Z. et al., Combating COVID-19—The role of robotics in managing public health and infectious diseases. Sci. Robot., 5, 40, Mar. 2020.
22. Shi, F. et al., Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. IEEE Rev. Biomed. Eng., 1–1, 2020.
23. Tino, R. et al., COVID-19 and the role of 3D printing in medicine. 3D Print. Med., 6, 1, 11, Apr. 2020.
24. Cavallo, L., Marcianò, A., Cicciù, M., Oteri, G., 3D Printing beyond Dentistry during COVID-19 Epidemic: A Technical Note for Producing Connectors to Breathing Devices. Prosthesis, 2, 2, Art. no. 2, Jun. 2020.
25. Seo, G. et al., Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor. ACS Nano, 14, 4, 5135–5142, Apr. 2020.
26. McDonald, S., The Digital Response to the Outbreak of COVID-19, Mar. 2020, Accessed: Jul. 27, 2020. [Online]. Available: https://www.cigionline.org/articles/digital-response-outbreak-covid-19.
27. Lomas, N., Germany’s COVID-19 contacts tracing app to link to labs for test result notification, TechCrunch, Apr. 23, 2020, https://social.techcrunch.com/2020/04/23/germanys-covid-19-contacts-tracing-app-to-link-to-labs-for-test-result-notification/ (accessed Jul. 27, 2020).
28. Orange: Reuters, BRIEF-Orange, Dassault Systemes, CapGemini among top firms involved in French StopCovid app project, Apr. 26, 2020.
29. MacNamee Terence, S.I., Switzerland launches SwissCovid tracing app for residents, SWI swissinfo.ch, Jun. 25, 2020, https://www.swissinfo.ch/eng/switzerland-launches-swisscovid-contact-tracing-app-for-residents/45859778 (accessed Jul. 27, 2020).
30. Kelion, L., First Google/Apple-based virus-trace app launched, BBC News, May 26, 2020.
31. Rayome, A.D., This robot could make COVID-19 testing faster and safer, CNET, Apr. 21, 2020, https://www.cnet.com/news/this-robot-could-make-covid-19-testing-faster-and-safer/ (accessed Jul. 27, 2020).
32. IW Staff, 600 US Manufacturers Ready to Assist with Pandemic Relief