Abstract
The goal of Industry 4.0 is to strengthen the manufacturing sector by utilizing digitalization. Health 4.0 is a term used to describe the digital change occurring in the sector of health in parallel with Industry 4.0. Smart health, mobile health and mobile health applications, wireless health, e-health, online health, telehealth or telemedicine, digital medicine, health informatics, medical information technology, pervasive health, and health information systems and applications are all discussed within the context of Health 4.0. The goal of Health 4.0 is to provide improved, value-added, and cost-effective healthcare to patients while also improving the healthcare industry’s efficiency and productivity. “Natural language processing, deep learning, and virtual reality” have been recognized as three critical technologies for Health 4.0 which have the potential to produce applications that will have a significant influence on healthcare services. Despite the numerous studies on the quality of health care and service provision, it is difficult to clearly reveal the quality due to intangibility, heterogeneity, and simultaneity in health services and health care. Consequently, using the Industry 4.0 strategy, Health 4.0 is a remarkable approach with a lot of promise to improve the quality of health services and health care. Health 4.0 has the ability to assist in the transition of the health sector from a reactive and cost-per-service-centered system to a value-based one that monitors outcomes and supports proactive prevention, according to the article. Novel designs and researches that have completed the PUKO cycle, have a widespread effect, and have an influence on large populations and data sets can be recommended in Health 4.0 integration. With these designs and researches, Health 4.0 will improve and become an actuality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abidova A, Alcântara da Silva P, Moreira S (2020) Predictors of patient satisfaction and the perceived quality of healthcare in an emergency department in Portugal. West J Emerg Med 21(2):391–403. https://doi.org/10.5811/westjem.2019.9.44667
Al-Jaroodi J, Mohamed N, Abukhousa E (2020) Health 4.0: on the way to realizing the healthcare of the future. IEEE Pract Innov Open Solutions 8:211189–211210. https://doi.org/10.1109/ACCESS.2020.3038858
Anand T, Pal R, Sanjay Kumar D (2016) Data mining in healthcare informatics: techniques and applications. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 4023–4029).
Anand V, Carroll AE, Biondich PG, Dugan TM, Downs SM (2018) Pediatric decision support using adapted Arden Syntax. Artif Intell Med 92:15–23. https://doi.org/10.1016/j.artmed.2015.09.006
Arpaia P, Cicatiello M., Benedetto ED, Anna Dodaro C, Duraccio L, Servillo G, Vargas M (2020) A Health 4.0 integrated system for monitoring and predicting patient’s health during surgical procedures. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1–6).
Baser A, Baktır Altuntaş S, Kolcu G, Özceylan G (2021) Artificial intelligence anxiety of family physicians in Turkey. Progress Nutr 23(S2 SE-Special issue_Sports and Health Sciences):e2021275. https://doi.org/10.23751/pn.v23iS2.12003
Basheer S, Alluhaidan AS, Bivi MA (2021) Real-time monitoring system for early prediction of heart disease using internet of things. Soft Comput 25(18):12145–12158. https://doi.org/10.1007/s00500-021-05865-4
Bates M (2019) Health care chatbots are here to help. IEEE Pulse 10(3):12–14. https://doi.org/10.1109/MPULS.2019.2911816
Bause M, Esfahani BK, Forbes H, Schaefer D (2019) Design for Health 4.0: exploration of a new area. Proc Des Soc Int Conference Eng Des 1(1):887–896. https://doi.org/10.1017/dsi.2019.93
Beam AL, Kohane IS (2016) Translating artificial intelligence into clinical care. JAMA 316(22):2368–2369
Croatti A, Gabellini M, Montagna S, Ricci A (2020) On the integration of agents and digital twins in healthcare. J Med Syst 44(9):161. https://doi.org/10.1007/s10916-020-01623-5
Ćwiklicki M, Klich J, Chen J (2020) The adaptiveness of the healthcare system to the fourth industrial revolution: a preliminary analysis. Futures 122:102602. https://doi.org/10.1016/j.futures.2020.102602
Dagger TS, Sweeney JC, Johnson LW (2007) A hierarchical model of health service quality: scale development and investigation of an integrated model. J Serv Res 10(2):123–142. https://doi.org/10.1177/1094670507309594
Dante A, Marcotullio A, Masotta V, Caponnetto V, La Cerra C, Bertocchi L, Petrucci C, Alfes CM (2021) From high-fidelity patient simulators to robotics and artificial intelligence: a discussion paper on new challenges to enhance learning in nursing education. Vol. 1236 AISC.
Dante A, La Cerra C, Bertocchi L, Masotta V, Marcotullio V, Ferraiuolo F, Alfes C, Petrucci C (2022) Time to incorporate artificial intelligence into high-fidelity patient simulators for nursing education: a secondary analysis of a pilot study. In la Prieta F, Gennari R, Temperini M, Di Mascio T, Vittorini P, Kubincova Z, Popescu E, Rua CarneiroD, Lancia L, Addone A (eds), Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference (pp. 227–36). Cham: Springer International Publishing.
Endeshaw B (2021) Healthcare service quality-measurement models: a review. J Health Res 35(2):106–117. https://doi.org/10.1108/JHR-07-2019-0152
Filiz E, Güzel Ş, Şengül A (2022) Sağlık Profesyonellerinin Yapay Zeka Kaygı Durumlarının İncelenmesi. Int J Acad Value Stud (javstudies JAVS) 8(8):47–55. https://doi.org/10.29228/javs.57808
Gerg G (n.d.) Australians develop new ‘Wearable Skin’ to monitor health conditions. SBS News. Retrieved (https://www.sbs.com.au/news/australians-develop-new-wearable-skin-to-monitor-health-conditions.)
Guckert M, Milanovic K, Hannig J, Simon D, Wettengl T, Evers D, Kleyer A, KellerT, Pitt J (2022) The disruption of trust in the digital transformation leading to Health 4.0. Front Digit Health 4:815573. https://doi.org/10.3389/fdgth.2022.815573
Han J, Zhang Z, Pantic M, Schuller B (2021) Internet of emotional people: towards continual affective computing cross cultures via audiovisual signals. Futur Gener Comput Syst 114:294–306. https://doi.org/10.1016/j.future.2020.08.002
Herrmann M, Boehme P, Mondritzki T, Ehlers JP, Kavadias S, Truebel H (2018) Digital transformation and disruption of the health care sector: internet-based observational study. J Med Internet Res 20(3):1–8. https://doi.org/10.2196/jmir.9498
Howick J, Morley J, Floridi L (2021) An empathy imitation game: empathy turing test for care- and chat-bots. Mind Mach 31(3):457–461. https://doi.org/10.1007/s11023-021-09555-w
Jayaraman PP, Forkan ARM, Morshed A, Haghighi PD, Kang Y-B (2020) Healthcare 4.0: a review of frontiers in digital health. Wires Data Min Knowl Discov 10(2):e1350. https://doi.org/10.1002/widm.1350
Karaca O, Ayhan Çalışkan S, Demir K (2021) Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) – development, validity and reliability study. BMC Med Educ 21(1):112. https://doi.org/10.1186/s12909-021-02546-6
Kerasidou A (2020) Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare. Bull World Health Organ 98(4):245–250. https://doi.org/10.2471/BLT.19.237198
Kleyer A, Beyer L, Simon C, Stemmler F, Englbrecht M, Beyer C, Rech J, Manger B, Krönke G, Schett G, Hueber AJ (2017) Development of three-dimensional prints of arthritic joints for supporting patients’ awareness to structural damage. Arthritis Res Ther 19(1):34. https://doi.org/10.1186/s13075-017-1234-z
Kolcu G, Özceylan G, Başer A, Altuntaş SB (2021) Yapay Zekâ Kaygısı Ölçeğinin Aile Hekimlerinde Geçerlik ve Güvenirliğinin Değerlendirilmesi. Res J Biomed Biotechnol 2(1):20–28
Liu Z, Ren L, Xiao C, Zhang K, Demian P (2022) Virtual reality aided therapy towards Health 4.0: a two-decade bibliometric analysis. Int J Environ Res Public Health 19(3). https://doi.org/10.3390/ijerph19031525
Loeza-Mejía C-I, Sánchez-DelaCruz E, Pozos-Parra P, Landero-Hernández L-A (2021) The potential and challenges of Health 4.0 to face COVID-19 pandemic: a rapid review. Heal Technol 11(6):1321–1330. https://doi.org/10.1007/s12553-021-00598-8
Madni AM, Madni CC, Lucero SD (2019) Leveraging digital twin technology in model-based systems engineering. Systems 7(1). https://doi.org/10.3390/systems7010007
Mierzwa S, Souidi S, Conroy T, Abusyed M, Watarai H, Allen T (2019) On the potential, feasibility, and effectiveness of chat bots in public health research going forward. Online J Public Health Inf 11(2):e4–e4. https://doi.org/10.5210/ojphi.v11i2.9998
Müschenich M, Wamprecht L (2018) Health 4.0 – how are we doing tomorrow? Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 61(3):334–339. https://doi.org/10.1007/s00103-018-2702-6
Nas J, Thannhauser J, Vart P, van Geuns R-J, Muijsers HEC, Mol J-Q, Aarts GWA, Lara SF, Konijnenberg DH, Gommans F, Ahoud-Schoenmakers SGAM, Vos JL, van Royen N, Bonnes JL, Brouwer MA (2020) Effect of face-to-face vs virtual reality training on cardiopulmonary resuscitation quality: a randomized clinical trial. JAMA Cardiol 5(3):328–335. https://doi.org/10.1001/jamacardio.2019.4992
Nimlyat PS, Kandar MZ (2015) Appraisal of Indoor Environmental Quality (IEQ) in healthcare facilities: a literature review. Sustain Cities Soc 17:61–68. https://doi.org/10.1016/j.scs.2015.04.002
Piccarozzi M, Aquilani B, Gatti C (2018) Industry 4.0 in management studies: a systematic literature review. Sustainability 10(10). https://doi.org/10.3390/su10103821
Quy VK, Van Hau N, Van Anh D, Ngoc LA (2021) Smart healthcare IoT applications based on fog computing: architecture, applications and challenges. Complex Intell Syst 1–11.https://doi.org/10.1007/s40747-021-00582-9
Robert Sabaté L, Diego L (2021) Are we offering patients the right medicines information? A retrospective evaluation of readability and quality in online patient drug information. Eur J Hospital Pharmacy 28(3):144–148. https://doi.org/10.1136/ejhpharm-2019-002099
Schüssler S, Zuschnegg J, Paletta L, Fellner M, Lodron G, Steiner J, Pansy-Resch S, Lammer L, Prodromou D, Brunsch S, Holter M, Carnevale L, Russegger S (2020) The effects of a humanoid socially assistive robot versus tablet training on psychosocial and physical outcomes of persons with dementia: protocol for a mixed methods study. JMIR Res Protoc 9(2):1–15. https://doi.org/10.2196/14927
Sharma A, Bhardwaj R (2021) Robotic surgery in otolaryngology during the covid-19 pandemic: a safer approach? Indian J Otolaryngol Head Neck Surg 73(1):120–123. https://doi.org/10.1007/s12070-020-02032-3
Singh H, Dey AK (2020) Listen to my story: contribution of patients to their healthcare through effective communication with doctors. Health Serv Manage Res 34(3):178–192. https://doi.org/10.1177/0951484820952308
Sisodia A, Jindal R (2021) A meta-analysis of industry 4.0 design principles applied in the health sector. Eng Appl Artif Intell 104:104377. https://doi.org/10.1016/j.engappai.2021.104377
Sony M, Antony J, McDermott O (2022) The impact of Healthcare 4.0 on the healthcare service quality: a systematic literature review. Hosp Top 24(1):1–17. https://doi.org/10.1080/00185868.2022.2048220
Thuemmler C, Bai C (2017) Health 4.0: application of industry 4.0 design principles in future asthma management bt - health 4.0: how virtualization and big data are revolutionizing healthcare. In Thuemmler C, Bai C (pp. 23–37). Cham: Springer International Publishing
Tripathi U, Chamola RSJV, Jolfaei A, Chintanpalli A (2021) Advancing remote healthcare using humanoid and affective systems. IEEE Sensors J 1. https://doi.org/10.1109/JSEN.2021.3049247
Wehde M (2019) Healthcare 4.0. IEEE Eng Manage Rev 47(3):24–28. https://doi.org/10.1109/EMR.2019.2930702
Wu B (2018) Patient continued use of online health care communities: web mining of patient-doctor communication. J Med Internet Res 20(4):1–15. https://doi.org/10.2196/jmir.9127
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Kolcu, M.İ.B., Kolcu, G. (2023). Health 4.0. In: İyigün, İ., Görçün, Ö.F. (eds) Health 4.0 and Medical Supply Chain. Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application. Springer, Singapore. https://doi.org/10.1007/978-981-99-1818-8_9
Download citation
DOI: https://doi.org/10.1007/978-981-99-1818-8_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1817-1
Online ISBN: 978-981-99-1818-8
eBook Packages: Business and ManagementBusiness and Management (R0)