Competitiveness of modern states is increasingly dependent on the method and scope of using information-communications technologies (ICTs) in the economy and in the implementation of the states’ care functions. The application of information-communications technologies (ICTs) in health care is of special importance due to observed dynamic changes taking place in social structures. The main factors contributing to the widespread use of information-communications technologies (ICTs) in health care include demographic changes, the increase in the duration of human life, the increase in health care expenditures, progress in medical science and the increase in patients’ ability to use automated devices. The aim of this article is to characterize the main ideas forming the architecture of the Healthcare 4.0 concept and to place this concept in a broader perspective of the Industry 4.0 concept.
- Abidi, S.S.R. and Abidi, S.R.. (2019), “Intelligent health data analytics: a convergence of artificial intelligence and big data”, Healthcare Management Forum, Vol. 32 No. 4, pp. 178-182. https://doi.org/10.1177/0840470419846134
- Acsente, D. (2010), “Literature review: a representation of how future knowledge worker is shaping the twenty-first century workplace”, On the Horizon, Vol. 18 No. 3, pp. 279-287. https://doi.org/10.1108/10748121011072726
- Battaglio Jr. R.P.. (2015) Public Human Resource Management: Strategies andpractices in the 21st century. Los Angeles: Sage https://doi.org/10.4135/9781483395784
- Buttigieget, S.C., Dey, P.K. and Gauci, D. (2016), “Business process management in health care: current challenges and future prospects”, Innovation and Entrepreneurship in Health, Vol. 3 No. 1, pp. 1-13. https://doi.org/10.2147/IEH.S68183
- Cavallone M., Palumbo R., (2020) Debunking the myth of industry 4.0 in health care: insights from a systematic literature review. The TQM Journal, pp.1754 DOI 10.1108/TQM-10-2019-0245 https://doi.org/10.1108/TQM-10-2019-0245
- Chanchaichujit J., Tan A. Meng F. Eaimkhong S. Healthcare 4.0: Next Generation Processes with the Latest Technologies. Palgrave Macmillan 2019 https://doi.org/10.1007/978-981-13-8114-0
- Corral-Acero, J. (2020). The ’Digital Twin’ to enable the vision of precision cardiology, European Heart Journal, 41(48), 4556-4564. https://doi.org/10.1093/eurheartj/ehaa159 https://doi.org/10.1093/eurheartj/ehaa159
- Das, S., U. Yaylacicegi, and N. Menon. 2011. “The Effect of Information Technology Investments in Healthcare: A Longitudinal Study of Its Lag, Duration, and Economic Value.” IEEE Transactions on Engineering Management 58 (1): 124-140. doi:10.1109/TEM.2010.2048906. https://doi.org/10.1109/TEM.2010.2048906
- EC (2020). Annexes to the Proposal for a Regulation of the European Parliament and of the European Council establishing a Programme of Union action in the field of health for 2021-2027 and repealing Regulation (EU) No 282/2014 “EU Health Programme”. Brussels, 28.5.2020. COM(2020) 405 final ANNEXES 1 to 2).
- Emanuel, E.J. and Wachter, R.M.. (2019), “Artificial intelligence in health care. Will the value match the hype?”, JAMA, Vol. 321 No. 23, pp. 2281-2282. https://doi.org/10.1001/jama.2019.4914
- Erol, S., Jäger, A., Hold, P., Ott, K. and Sihn, W. (2016), “Tangible Industry 4.0: a scenario-based approach to learning for the future of production”, Procedia CIRP, Vol. 54, pp. 13-18. https://doi.org/10.1016/j.procir.2016.03.162
- Estrela, V.V., Monteiro, A.C.B., França, R.P., Iano, Y., Khelassi, A., & Razmjooy, N. (2018). Health 4.0: Applications, Management, Technologies and Review. Medical Technologies Journal, 2(4), 262-276. https://doi.org/10.26415/2572-004X-vol2iss4p262-276 https://doi.org/10.26415/2572-004X-vol2iss4p262-276
- Eysenbach, G., Siadat, H., Solvoll, T., Keeling, D., Li, J., Talaei-Khoei, A.,MacIntyre, C. R. (2013). Health care provider adoption of eHealth: A systematic literature review. Interactive Journal of Medical Research, 2(1). https://doi.org/10.2196/ijmr.2468 https://doi.org/10.2196/ijmr.2468
- Faggini, M., Cosimato, S., Nota, F.D., & Nota, G. (2019). Pursuing Sustainability for Healthcare through Digital Platforms. Sustainability, 11(1), 165. https://doi.org/10.3390/su11010165 https://doi.org/10.3390/su11010165
- Gellerstedt, M. (2016), “The digitalization of health care paves the way for improved quality of life?”, Journal of Systemics, Cybernetics and Informatics, Vol. 14 No. 5, pp. 1-10.
- Gerlach, R. (2019). Why Should Sustainability Be an Issue in Digital Healthcare? 4 ways digital health companies can help achieve the sustainable development goals. Accessed: https://www.tbd.community/en/a/why-should-sustainability-be-issue-digita...
- Hofmann, E. and Rüsch, M. (2017), “Industry 4.0 and the current status as well as future prospects on logistics”, Computers in Industry, Vol. 89, pp. 23-34. https://doi.org/10.1016/j.compind.2017.04.002
- Interpol (2020). COVID-19: Cybercrime Analysis Report — August 2020, https://www.interpol.int/Newsand-Events/News/2020/INTERPOL-report-shows-....
- Jayaraman PP, Forkan ARM, Morshed A, Haghighi PD, Kang Y-B. Healthcare 4.0: A review of frontiers in digital health. WIREs Data Mining Knowl Discov. 2019;e1350. https://doi.org/10.1002/widm.1350 https://doi.org/10.1002/widm.1350
- Kagermann, H. (2015), “Change through digitization-value creation in the age of industry 4.0”, in Albach, H., Meffert, H., Pinkwart, A. and Reichwald, R. (Eds), Management of Permanent Change, Springer Gabler, Wiesbaden, pp. 23-35. https://doi.org/10.1007/978-3-658-05014-6_2
- Kagermann, H., Wahlster, W. and Helbig, J. (2013), “Securing the future of German manufacturing industry: recommendations for implementing the strategic initiative INDUSTRIE 4.0”, Final Report of the Industry 4.0 Working Group, Forschungsunion im Stifterverband für die Deutsche Wirtschaft e.V., Berlin.
- Kamble, S.S., Gunasekaran, A. and Gawankar, S.A. (2018), “Sustainable Industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives”, Process Safety and Environmental Protection, Vol. 117, pp. 408-425. https://doi.org/10.1016/j.psep.2018.05.009
- Kamble, S.S., Gunasekaran, A. and Sharma, R. (2018), “Analysis of the driving and dependence power of barriers to adopt Industry 4.0 in Indian manufacturing industry”, Computers in Industry, Vol. 101, pp. 107-119. https://doi.org/10.1016/j.compind.2018.06.004
- Kapferer S. (2016). Value-based healthcare in Europe. Collaborating for a healthy future. OECD. https://www.oecd.org/health/health-systems/Value-based-health-care-in-Eu...
- Kim, Y., Park, Y. and Choi, J. (2017), “A study on the adoption of IoT smart home service: using value-based adoption model”, Total Quality Management & Business Excellence, Vol. 28 Nos 9-10, pp. 1149-1165. https://doi.org/10.1080/14783363.2017.1310708
- Kobayashi, Y., Ishibashi, M. and Kobayashi, H. (2019), “How will «democratization of artificial intelligence» change the future of radiologists?”, Japanese Journal of Radiology, Vol. 37 No. 1, pp. 9-14. https://doi.org/10.1007/s11604-018-0793-5
- Lee, J., Kao, H.A. and Yang, S. (2014), “Service innovation and smart analytics for Industry 4.0 and Big Data environment”, Procedia CIRP, Vol. 16, pp. 3-8. https://doi.org/10.1016/j.procir.2014.02.001
- Lenz, R. and Reichert, M. (2007), “IT support for healthcare processes-premises, challenges, perspectives”, Data & Knowledge Engineering, Vol. 61 No. 1, pp. 39-58. https://doi.org/10.1016/j.datak.2006.04.007
- Lenz, R., Peleg, M. and Reichert, M. (2012), “Healthcare process support: achievements, challenges, current research”, International Journal of Knowledge-Based Organizations, Vol. 2 No. 4, pp. 52-68. https://doi.org/10.4018/ijkbo.2012100104
- Liao, Y., Deschamps, F., Loures, E.D.F.R. and Ramos, L.F.P.. (2017), “Past, present and future of Industry 4.0 — a systematic literature review and research agenda proposal”, International Journal of Production Research, Vol. 55 No. 12, pp. 3609- 3629. https://doi.org/10.1080/00207543.2017.1308576
- Lindgren, S. (2017), Digital Media and Society, Sage Publishing, London.
- Lobo, F. (2016), “The Industry 4.0 revolution and the future of manufacturing execution systems (MES)”, Journal of Innovation Management, Vol. 3 No. 4, pp. 16-21. https://doi.org/10.24840/2183-0606_003.004_0003
- Maier M.W., Emery D., Hilliard R., Software architecture: introducing IEEE standard 1471. “Computer” 2001, no. 34(4), pp. 107-109). https://doi.org/10.1109/2.917550
- McGrail, S. (2021), IBM, Moderna Explore AI, Blockchain for COVID-19 Vaccine Management, HITInfrastructure — Xtelligent Healthcare Media, https://hitinfrastructure.com/news/ibm-modernaexplore-ai-blockchain-for-...
- Morrison, T.M., Pathmanathan, P., Adwan, M., and Margerrison, E. (2018) Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA’s Office of Science and Engineering Laboratories. Frontiers in Medicine, 5, 241. https://doi.org/10.3389/fmed.2018.00241 https://doi.org/10.3389/fmed.2018.00241
- Mrugalska and Wyrwicka, 2017; Mrugalska, B. and Wyrwicka, M.K.. (2017), “Towards lean production in Industry 4.0”, Procedia Engineering, Vol. 182, pp. 466-473. https://doi.org/10.1016/j.proeng.2017.03.135
- Noorbakhsh-Sabet, N., Zand, R., Zhang, Y. and Abedi, V. (2019), “Artificial intelligence transformsthe future of health care”, The American Journal of Medicine, Vol. 132 No. 7, pp. 795-801. https://doi.org/10.1016/j.amjmed.2019.01.017
- OECD (2020a). The Digitalisation of Science, Technology and Innovation: Key Developments and Policies. https://www.oecd.org/science/inno/the-digitalisation-of-science-technolo...
- OECD (2020b), “Dealing with digital security risk during the Coronavirus (COVID-19) crisis,” OECD Policy Responses to Coronavirus (COVID- 19), OECD Publishing, Paris, http://www.oecd.org/coronavirus/policy-responses/dealing-with-digital-se...
- OECD (2020c), “Seven lessons learned about digital security during the COVID-19 crisis,” OECD Tackling Coronavirus (COVID-19), OECD Publishing, Paris, http://www.oecd.org/coronavirus/policyresponses/seven-lessons-learned-ab...
- OECD 2021: What future for science, technology and innovation after Covid-19. OECD Sciences, Technology and Industry Policy Papers. April 2021, No.107
- Oesterreich, T.D. and Teuteberg, F. (2016), “Understanding the implications of digitisation and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry”, Computers in Industry, Vol. 83, pp. 121-139. https://doi.org/10.1016/j.compind.2016.09.006
- Orcajo, E.M.. (2021). 6 Digital Twin Applications in Healthcare — The Revolution of the Next Decade. https://www.linkedin.com/pulse/6- digital-twin-applications-healthcare-...enrique/
- Pappalardo, F., Russo, G., Tshinanu, F.M., & Viceconti, M. (2019). In silico clinical trials: concepts and early adopters. Briefings in Bioinformatics, 20(5), 1699-1708. https://doi.org/10.1093/bib/bby043 https://doi.org/10.1093/bib/bby043
- Philbeck, T., & Davis, N. (2019). The fourth industrial revolution: Shaping a new era. Journal of International Affairs, 72(1), 17-22. https://www.jstor.org/stable/10.2307/26588339.
- Porter, M.E.. (2010), “What is value in health care?”, New England Journal of Medicine, Vol. 363 No. 26, pp. 2477-2481. https://doi.org/10.1056/NEJMp1011024
- Qin, J., Liu, Y. and Grosvenor, R. (2016), “A categorical framework of manufacturing for Industry 4.0 and beyond”, Procedia CIRP, Vol. 52, pp. 173-178. https://doi.org/10.1016/j.procir.2016.08.005
- Rejikumar V., Raja Sreedharan V, Arunprasad P., Persis J., Sreeraj K.M. 2019 Industry 4.0: keyfindings and analysis from the literature arena. Benchmarking: An International Journal. Vol.26, No 8, pp. 2514-2542 https://doi.org/10.1108/BIJ-09-2018-0281
- Saldivar, A.A.F., Li, Y., Chen, W.N., Zhan, Z.H., Zhang, J. and Chen, L.Y.. (2015), “Industry 4.0 with cyber-physical integration: a design and manufacture perspective”, 2015 21st International Conference on Automation and Computing, IEEE, pp. 1-6. https://doi.org/10.1109/IConAC.2015.7313954
- Sanal, M.G., Paul, K., Kumar, S. and Ganguly, N.K. (2019), “Artificial intelligence and deep learning: the future of medicine and medical practice”, Journal of Association of Physicians of India, Vol. 67 No. 4, pp. 71-73.
- Schaffers, H., Sällström, A., Pallot, M., Hernández-Muñoz, J.M., Santoro, R. and Trousse, B. (2011), “Integrating living labs with future internet experimental platforms for co-creating services within smart cities”, International Conference on Concurrent Enterprising, Aachen.
- Schuh, G., Potente, T., Wesch-Potente, C., Weber, A.R. and Prote, J.P.. (2014), “Collaboration mechanisms to increase productivity in the context of Industry 4.0”, Procedia CIRP, Vol. 19, pp. 51- 56. https://doi.org/10.1016/j.procir.2014.05.016
- Schwartz, S.M., Wildenhaus, K., Bucher, A., & Byrd, B. (2020). Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data. Frontiers in Computer Science, 2, 31. https://doi.org/10.3389/fcomp.2020.00031 https://doi.org/10.3389/fcomp.2020.00031
- Seric, A. & D. Winkler (2020), “Managing COVID-19: Could the coronavirus spur automation and reverse globalization? | Industrial Analytics Platform,” Industrial Analytics Platform — Unido.org, https://iap.unido.org/articles/managing-covid-19-could-coronavirus-spur-...
- Shafiq, S.I., Sanin, C., Toro, C. & Szczerbicki, E. (2015), “Virtual engineering object (VEO): toward experience-based design and manufacturing for Industry 4.0”, Cybernetics and Systems, Vol. 46, Nos 1-2, pp. 35-50. https://doi.org/10.1080/01969722.2015.1007734
- Sligo, J., Gauld, R., Roberts, V., & Villa, L. (2017). A literature review for large-scale health information system project planning, implementation and evaluation. International Journal of Medical Informatics, 97, 86-97. https://doi. org/10.1016/j.ijmedinf.2016.09.007 https://doi.org/10.1016/j.ijmedinf.2016.09.007
- Spinney, L. (2020), The World Changed Its Approach to Health After the 1918 Flu, Time, https://time.com/5797629/health-1918-flu-epidemic/
- Spohrer, J., Maglio, P. P., Bailey J., & Gruhl, D. (2007). Steps toward a science of service systems. Computer, 40(1), 71-77, 2007. https://doi.org/10.1109/MC.2007.33 https://doi.org/10.1109/MC.2007.33
- Sreedharan, V.R. and Unnikrishnan, A. (2017), “Moving towards industry 4.0: a systematic review”, International Journal of Pure and Applied Mathematics, Vol. 117 No. 20, pp. 929-936.
- Sultan, N. 2014. “Making Use of Cloud Computing for Healthcare Provision: Opportunities and Challenges.” International Journal of Information Management 34 (2): 177- 184. doi:10.1016/j.ijinfomgt.2013. 12.011. https://doi.org/10.1016/j.ijinfomgt.2013.12.011
- Teisberg, E., Wallace, S., & O’Hara, S. (2020). Defining and Implementing Value-Based Health Care: A Strategic Framework. Academic medicine : journal of the Association of American Medical Colleges, 95(5), 682-685. https://doi.org/10.1097/ACM.0000000000003122 https://doi.org/10.1097/ACM.0000000000003122
- Trappey, A.J., Trappey, C.V., Fan, C.Y., Hsu, A.P., Li, X.K. and Lee, I.J.. (2017), “IoT patent roadmap for smart logistic service provision in the context of Industry 4.0”, Journal of the Chinese Institute of Engineers, Vol. 40 No. 7, pp. 593-602. https://doi.org/10.1080/02533839.2017.1362325
- Vogelsang, K., Liere-Netheler, K., Packmohr, S. and Hoppe, U. (2019), ’Success factors for fostering a digital transformation in manufacturing companies’, Journal of Enterprise Transformation, published online ahead of print, doi: 10.1080/19488289.2019.1578839. https://doi.org/10.1080/19488289.2019.1578839
- Wang, S., Wan, J., Zhang, D., Li, D. and Zhang, C. (2016), “Towards smart factory for Industry 4.0: a self-organized multi-agent system with Big Data-based feedback and coordination”, Computer Networks, Vol. 101, pp. 158-168. https://doi.org/10.1016/j.comnet.2015.12.017
- Witkowski, K. (2017), “Internet of Things, Big Data, Industry 4.0 — innovative solutions in logistics and supply chains management”, Procedia Engineering, Vol. 182, pp. 763-769. https://doi.org/10.1016/j.proeng.2017.03.197
- Xu, L.D., Xu, E.L. and Li, L. (2018), “Industry 4.0: state of the art and future trends”, International Journal of Production Research, Vol. 56 No. 8, pp. 2941-2962. https://doi.org/10.1080/00207543.2018.1444806
- Yang, C., Delcher, C., Shenkman, E. and Ranka, S. (2018), “Machine learning approaches for predicting high cost high need patient expenditures in health care”, BioMedical Engineering Online, Vol. 17, pp. 81-118. https://doi.org/10.1186/s12938-018-0568-3