[1] Tortorella GL, Saurin TA, Fogliatto FS, Rosa VM, Tonetto LM, Magrabi F. Impacts of healthcare 4.0 digitaltechnologies on the resilience of hospitals. Technological Forecasting and Social Change. 2021;166:1- 10.

[2] Tortorella GL, Fogliatto FS, Espôsto KF, et al. Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies. Technological Forecasting and Social Change. 2020;156: 1-11.

[3] Chen PT. Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis. Technological Forecasting and Social Change. 2018;130:150-164.

[4] Yin Y, Zeng Y, Chen X, Fan Y. The internet of things in healthcare: An overview. Journal of Industrial Information Integration. 2016;1:3–13.

[5] Firouzi F, Rahmani AM, Mankodiya K, et al. Internet-of-things and big data for smarter healthcare: From device to architecture, applications and analytics. Future Generation Computer Systems. 2018;78: 583– 586.

[6] Sravani N, Sasikala R. An insight into application of big data analytics in healthcare. International Journal of Data Mining Modelling and Management. 2020;12(1): 87-117.

[7] Guha P. Application of multivariate-rank-based techniques in clustering of big data. Vikalpa. 2018; 43(4):179-190.

[8] Galetsi P, Katsaliaki K. A review of the literature on big data analytics in healthcare. Journal of the Operational Research Society. 2020;71(10):1511–1529.

[9] Khan IH, Javaid M. Big data applications in medical field: A literature review. Journal of Industrial Integration and Management. 2021;6(1):53-69.

[10] Azeroual O, Fabre R. Processing big data with apache hadoop in the current challenging era of COVID19. Big Data and Cognitive Computing. 2021;5(1):1-18.

[11] Olsson NOE, Bull-Berg H. Use of big data in project evaluations. International Journal of Managing Projects in Business. 2015;8:491–512.

[12] Hopp WJ, Li J, Wang G. Big data and the precision medicine revolution. Production and Operations Management Society. 2018;17(9):1059-1147.

[13] Cleland B, Wallace J, Bond R, et al. Insights into antidepressant prescribing using open health data. Big Data Research. 2018;12:41-48.

[14] Yu W, Zhao G, Liu Q, Song Y. Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective. Technological Forecasting and Social Change. 2021;163: 1:11.

[15] Dicuonzo G, Donofrio F, Fusco A, Dell’Atti V. Big data and artificial intelligence for health system sustainability: The case of Veneto Region. Management. Control. 2021;1:31–52.

[16] Gligorijević V, Malod-Dognin N, Pržulj N. Integrative methods for analyzing big data in precision medicine. Proteomics. 2016;16:741–758.

[17] Liu N, Kauffman RJ. Enhancing healthcare professional and caregiving staff informedness with data analytics for chronic disease management. Information & Management. 2021;58(2): 1-14

[18] Rajesh M, Sairam R. Big data and health care system using mlearning. International Journal of Recent Technology and Engineering. 2019;8:208-210.

[19] Giacalone M, Cusatelli C, Santarcangelo V. Big data compliance for innovative clinical models. Big Data Research. 2018;12:35–40.

[20] McLeod A, Dolezel D. Cyber-analytics: Modeling factors associated with healthcare data breaches. Decision Support Systems. 2018;108:57-68.

[21] Naidoo R. Building a critical mass of users for digital healthcare promotion programs: A teaching case. Journal of Cases on Information Technology. 2020;22(4):44-59.

[22] Ahmed I, Ahmad M, Jeon G, Piccialli F. A framework for pandemic prediction using big data analytics. Big Data Research. 2021;25:1-14

[23] Lee JW. Big data strategies for government, society and policy-making. The Journal of Asian Finance, Economics and Business. 2020;7(7):475-487.

[24] Kaur H, Bath AK. Digital transformation strategies in different areas: A review. International Journal of Scientific & Technology Research. 2019;8(12):348-351.

[25] Dalal MA, Ingle DR. Cloud enabled predictive big data analytics framework for healthcare. International Journal of Recent Technology and Engineering. 2019;8(3):3784-3789.

[26] Zolbanin HM, Delen D, Sharma SK. The strategic value of big data analytics in health care policy-making. International Journal of e-Business Research. 2018;14(3):20–33.

[27] Aceto G, Persico V, Pescapé A. The role of Information and Communication Technologies in healthcare: Taxonomies, perspectives, and challenges. Journal of Network and Computer Applications. 2018;107:125–154.

[28] Latif G, Shankar A, Alghazo JM, Kalyanasundaram V, Boopathi CS, Arfan Jaffar M. I-CARES: Advancing health diagnosis and medication through IoT. Wireless Networks. 2020;26:2375–2389.

[29] Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: Promise and challenges. Nature Reviews Cardiology. 2016;13:350–359.

[30] Popkova EG, Sergi BS. Digital public health: Automation based on new datasets and the internet of things. Socio-Economic Planning Sciences. 2021:1-10.

[31] Mostaghel R. Innovation and technology for the elderly: Systematic literature review. Journal of Business Research. 2016;69:4896–4900.

[32] Vicente-Saez R, Martinez-Fuentes C. Open science now: A systematic literature review for an integrated definition. Journal of Business Research. 2018;88:428–436.

[33] Granja C, Janssen W, Johansen MA. Factors determining the success and failure of ehealth interventions: Systematic review of the literature. Journal of Medical Internt Research. 2018;20(5): e10235

[34] Bloom G, Standing H. Future health systems: Why future? Why now? Social Science & Medicine. 2008;66(10):2067–2075.

[35] Tsikala Vafea M, Atalla E, Georgakas J, et al. Emerging technologies for use in the study, diagnosis, and treatment of patients with COVID-19. Cellular and Molecular Bioengineering. 2020;13:249–257.

[36] Martínez-Rojas M, Pardo-Ferreira M del C, Rubio-Romero JC. Twitter as a tool for the management and analysis of emergency situations: A systematic literature review. International Journal of Information Management. 2018;43:196–208.

[37] Choi TM. Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era. Transportation Research Part E: Logistics and Transportation Review. 2018;114:386–397.

[38] Arieno A, Chan A, Destounis SV. A review of the role of augmented intelligence in breast imaging: From automated breast density assessment to risk stratification. American Journal of Roentgenology. 2019;212:259–270.

[39] Álvarez-Machancoses Ó, Fernández-Martínez JL. Using artificial intelligence methods to speed up drug discovery. Expert Opinion on Drug Discovery. 2019;14(2):1-9.

[40] Hay SI, George DB, Moyes CL, Brownstein JS. Big data opportunities for global infectious disease surveillance. PLoS Medicine. 2013;10:1–5.

[41] Cowie J, Calveley E, Bowers G, Bowers J. Evaluation of a digital consultation and self-care advice tool in primary care: A multi-methods study. International Journal of Environmental Research and Public Health. 2018;15(5):896-919.

[42] Barton C, Chettipally U, Zhou Y, et al. Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs. Computers in Biology and Medicine. 2019;109:79–84.

[43] Cortada JW, Gordon B, Lenihan B. The value of analytics in healthcare: From insights to outcome. Life sciences and healthcare, executive report. IBM Global Business Services; 2012: www.ibm.com/ downloads/cas/NJA9K0DV

[44] Nelson A, Herron D, Rees G, Nachev P. Predicting scheduled hospital attendance with artificial intelligence. Npj Digital Medicine. 2019;2(1):1-17.

[45] Olaosebikan YT, Haw SC, Chan GY. Enhancing privacy for big data in healthcare domain based on cryptographic and decentralized technology methods. International Journal of Recent Technology and Engineering. 2019;8(3):129-135.

[46] Tinschert P, Jakob R, Barata F, Kramer JN, Kowatsch T. The potential of mobile apps for improving asthma self-management: A review of publicly available and well-adopted asthma apps. J MIR Mhealth and Uhealth. 2017;5(8): e113.

[47] Winter JS, Davidson E. Governance of artificial intelligence and personal health information. Digital Policy, Regulation and Governance. 2019;21(3): 280-290.

[48] Wu J, Li H, Cheng S, Lin Z. The promising future of healthcare services: When big data analytics meets wearable technology. Information & Management. 2016;53(8):1020–1033.

[49] Quinn S, Bond R, Nugent C. Quantifying health literacy and eHealth literacy using existing instruments and browser-based software for tracking online health information seeking behavior. Computers in Human Behavior. 2017;69:256–267.

[50] Sakr S, Elgammal A. Towards a comprehensive data analytics framework for smart healthcare services. Big Data Research. 2016;4:44–58.

[51] Bharathi MJ, Rajavarman VN. A survey on big data management in health care using IOT. International Journal of Recent Technology and Engineering. 2019;7(5):196-198.

[52] Cassettari L, Patrone C, Saccaro S. Industry 4.0 and its applications in the healthcare sector: A sistematic review. Proceedings of the Summer School Francesco Turco. 2019.1:136-142.

[53] Sheng J, Amankwah-Amoah J, Wang X. Technology in the 21st century: New challenges and opportunities. Technological Forecasting and Social Change. 2019;143: 321-335.

[54] Alharthi A, Krotov V, Bowman M. Addressing barriers to big data. Business Horizons. 2017;60(3):285- 292.

[55] Wu J, Li H, Liu L, Zheng H. Adoption of big data and analytics in mobile healthcare market: An economic perspective. Electronic Commerce Research and Applications. 2017;22: 24–41.

[56] Wang Y, Kung LA, Byrd TA. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change. 2018;126: 3–13.

[57] Reddy SSRD, Ramanadham UK. Big data analytics for healthcare organization, BDA process, benefits and challenges of BDA: A review. Advances in Science Technology and Engineering Systems Journal. 2017;2(4):189-196.

[58] Nalluri S, Sasikala R. An insight into application of big data analytics in healthcare. International Journal of Data Mining Modelling and Management. 2020;12: 87–117.

[59] Aiello M, Cavaliere C, D’Albore A, Salvatore M. The challenges of diagnostic imaging in the era of big data. Journal of Clinical Medicine. 2019;8:1-11.

[60] Liu W, Park EK. Big data as an e-health service. Paper presented at: 2014 International Conference on Computing, Networking and Communications (ICNC); 2014 Feb 3-6; Hawaii, USA.

[61] Abdel-Basset M, Chang V, Nabeeh NA. An intelligent framework using disruptive technologies for COVID-19 analysis. Technological Forecasting and Social Change. 2021;163:1-14.

[62] El Sayed EMAM. How AI, data science and technology is used to fight the pandemic COVID-19: Case study in Saudi Arabia environment. Research in World Economy. 2020;11(5):409-419.

[63] Khanra S, Dhir A, Islam AKMN. Big data analytics in healthcare: A systematic literature review. Enterprise Information Systems. 2020;14(7):878–912.

[64] Sayantan K, Dhir AKM, Najmul I, Mäntymäki M. Big data analytics in healthcare: A systematic literature review. Enterprise Information Systems. 2020;14(7):878-912.

[65] Wang Y, Hajli N. Exploring the path to big data analytics success in healthcare. Journal of Business Research. 2017;70:287–299.

[66] Wilder CR, Ozgur CO. Business analytics curriculum for undergraduate majors. INFORMS Transactions on Education. 2015;15:180–187.

[67] Wang Y, Kung LA, Gupta S, Ozdemir S. Leveraging big data analytics to improve quality of care in healthcare organizations: A configurational perspective. British Journal of Management. 2019;30:362– 388.

[68] Aarathi S, Vasundra S. Impact of healthcare predictions with big data analytics and cognitive computing techniques. International Journal of Recent Technology and Engineering. 2019;8(2):4757–4762.

[69] Senthilkumar SA, Bharatendara KR, Amruta AM, Angappa G, Chandrakumarmangalam S. Big data in healthcare management: A review of literature. American Journal of Theoretical and Applied Business. 2018;4(2): 57-69.

[70] Costa FF. Big data in biomedicine. DrugDiscoveryToday. 2014;19:433–440.

[71] Bharati TS. Challenges, issues, security and privacy of big data. International Journal of Scientific & Technology Research. 2020;9(2):1482-1486.

[72] Nagajothi S, Ignisha Rajathi G, Manikandan M, Boopala J. Data privacy preservation in cloud using mapreduce. International Journal of Scientific & Technology Research. 2020;9(2):3896-3900.

[73] Plageras AP, Psannis KE. Algorithms for big data delivery over the internet of things. IEEE 19th Conference on Business Informatics (CBI); Proceedings of the 2017 IEEE 19th Conference on Business Informatics (CBI); 2017. Available from: https://www.computer.org/csdl/proceedings/cbi/2017/ 1lgooY4roIg

[74] van den Broek T, van Veenstra AF. Governance of big data collaborations: How to balance regulatory compliance and disruptive innovation. Technological Forecasting and Social Change. 2018;129:330- 338.

[75] Jibai B, Najdi H. Governing medical big data, protecting patient privacy. International Journal of Recent Technology and Engineering. 2019.1:1659-1668.

[76] Ćwiklicki M, Klich J, Chen J. The adaptiveness of the healthcare system to the fourth industrial revolution: A preliminary analysis. Futures. 2020;122:1-11.

[77] Lhotska L. Application of industry 4.0 concept to health care. Studies in Health Technology and Informatics. 2020;273:23-37.

[78] Oliver N, Arnesh T, Tak I. Smart hospital services: Health 4.0 and opportunity for developing economies. 29th International Conference of the International Association for Management of Technology: Towards the Digital World and Industry X.0, IAMOT 2020; 2020 Sep 13-17; Cairo, Egypt.

[79] Yin Y, Zeng Y, Chen X, Fan Y. The internet of things in healthcare: An overview. Journal of Industrial Information Integration. 2016;1:3-13.

[80] Fatt QK, Ramadas A. The usefulness and challenges of big data in healthcare. Journal of Healthcare Communications. 2018;3:1–4.

[81] Weaver CA, Ball MJ, Kim GR, Kiel JM. Healthcare information management systems: Cases, strategies, and solutions. 4th ed. Switzerland: Springer; 2016.

[82] Bragazzi N, Damiani G, Behzadifar M, Dai H. How big data and artificial intelligence can help against COVID-19. International Journal of Environmental Research and Public Health. 2020;17(9):1-8.

[83] Vinay R, Soujanya KLS, Singh P. Disease prediction by using deep learning based on patient treatment history. International Journal of Recent Technology and Engineering. 2019;7:745–754.