MENUJU KESEHATAN DAN KESEJAHTERAAN BERKELANJUTAN INDONESIA MELALUI TRANSFORMASI DIGITAL 5.0: WAWASAN DARI KAJIAN LITERATUR SISTEMATIK
Towards Sustainable Health and Well-Being in Indonesia through Digital Transformation 5.0: Insights from A Systematic Literature Review
Keywords:
Indonesia, Sistem Kesehatan, Transformasi Digital 5.0, Teknologi Maju, Tujuan Pembangunan Berkelanjutan
Abstract
Latar belakang: Tantangan global abad ke-21, terutama terkait keberlanjutan, semakin mendesak dengan meningkatnya konsumsi sumber daya alam dan ketimpangan sosial. Salah satu Tujuan Pembangunan Berkelanjutan (SDG) yang penting adalah "Kesehatan dan Kesejahteraan yang Baik," yang menjadi prioritas selama pandemi COVID-19. Transformasi digital melalui Teknologi Informasi dan Komunikasi (TIK) disruptif berperan penting dalam meningkatkan kualitas pelayanan kesehatan yang adil bagi seluruh lapisan masyarakat. Namun, tantangan ilmiah dalam integrasi teknologi maju untuk mendukung sistem kesehatan nasional yang berkelanjutan belum banyak dikaji.
Tujuan: Studi ini bertujuan untuk mengeksplorasi transformasi digital 5.0 dalam mendukung tujuan SDGs Kesehatan dan Kesejahteraan Berkelanjutan serta menganalisis integrasi teknologi digital dalam sistem kesehatan yang lebih inklusif dan efisien.
Metode: Studi ini menggunakan pendekatan kualitatif dengan metode tinjauan sistematis untuk menganalisis integrasi transformasi digital 5.0 dalam sistem kesehatan berkelanjutan.
Hasil: Studi ini menyoroti transformasi signifikan yang dihadirkan oleh Artificial Intelligence (AI), Internet of Things (IoT), blockchain, Big Data, robotika medis, dan metaverse. AI meningkatkan efisiensi dalam diagnosis dan perawatan, IoT memungkinkan pemantauan kesehatan secara real-time, sementara blockchain menjamin keamanan data medis. Big Data mendukung analisis epidemiologi, robotika mempercepat prosedur medis, dan metaverse menawarkan pelatihan interaktif bagi tenaga kesehatan. Integrasi ICT 5.0 dalam sistem kesehatan di Indonesia membuka peluang untuk pengembangan e-Health yang lebih efisien dan inklusif, meningkatkan akses serta kualitas layanan, mendukung universal health coverage (UHC), dan membantu pencapaian SDGs.
Kesimpulan: Meskipun terdapat tantangan seperti kesenjangan digital dan keterbatasan infrastruktur, kolaborasi lintas sektor diperlukan untuk mengoptimalkan integrasi ICT dalam sistem kesehatan nasional. Digitalisasi layanan kesehatan tidak hanya berpotensi mengurangi kesenjangan sosial dan dampak ekologis, tetapi juga meningkatkan efisiensi operasional. Dengan demikian, transformasi digital 5.0 dapat membantu Indonesia menciptakan sistem kesehatan yang berkelanjutan serta memberikan dampak positif bagi kesejahteraan masyarakat.
References
1. Olaide K, Simo-Kengne BD, Uwilingiye J. Sustainable Development–Fiscal Federalism Nexus: A “Beyond GDP” Approach. Sustainability (Switzerland); 14. Epub ahead of print 2022. DOI: 10.3390/su14106267.
2. Kassim ES, Zamzuri NH, Jalil SA, et al. A Social Innovation Model for Sustainable Development: A Case Study of a Malaysian Entrepreneur Cooperative (KOKULAC). Adm Sci; 12. Epub ahead of print 2022. DOI: 10.3390/admsci12030103.
3. Hák T, Janoušková S, Moldan B. Sustainable Development Goals: A need for relevant indicators. Ecol Indic 2016; 60: 565–573.
4. Mohamad Taghvaee V, Assari Arani A, Nodehi M, et al. Sustainable development goals: transportation, health and public policy. Review of Economics and Political Science 2023; 8: 134–161.
5. Filho WL, Brandli LL, Salvia AL, et al. COVID-19 and the UN sustainable development goals: Threat to solidarity or an opportunity? Sustainability (Switzerland); 12. Epub ahead of print 2020. DOI: 10.3390/su12135343.
6. Nnamuchi O. The Sustainable Development Goals (SDGS) and the Right to Health: Is There a Nexus? Fla J Int Law; 32, https://heinonline.org/HOL/Page?handle=hein.journals/fjil32&id=157&div=&collection= (2020, accessed 5 February 2022).
7. de Menezes HZ, Borges LC. Bridging Health, Innovation, and Sustainable Development: Achievements and Pitfalls of Vaccination Policies in Brazil. In: Sustainable Development Goals Series. Springer, pp. 113–123.
8. Denicolai S, Previtali P. Innovation strategy and digital transformation execution in healthcare: The role of the general manager. Technovation; 121. Epub ahead of print 2023. DOI: 10.1016/j.technovation.2022.102555.
9. Arifiani L, Budiastuti ID, Erika WK. The effect of disruption technology, and the future knowledge management toward service innovation for telecommunication industry 4.0 in Indonesia. Int J Eng Adv Technol 2019; 8: 247–257.
10. Ray S, Herman N, Sen I. Disruptive transformation fueling gig economies. In: 2021 IEEE Technology and Engineering Management Conference - Europe, TEMSCON-EUR 2021. Institute of Electrical and Electronics Engineers Inc. Epub ahead of print 2021. DOI: 10.1109/TEMSCON-EUR52034.2021.9488630.
11. Pratono AH. Innovation strategy beyond the COVID-19 pandemic: the role of trust under disruptive technology. Foresight. Epub ahead of print 2021. DOI: 10.1108/FS-05-2021-0105.
12. Xiong X. Bring technology home and stay healthy: The role of fourth industrial revolution and technology in improving the efficacy of health care spending. Technol Forecast Soc Change; 165. Epub ahead of print 2021. DOI: 10.1016/j.techfore.2020.120556.
13. Aoun M, Hasnan N. Health-care technology management: developing the innovation skills through implementing soft TQM among Lebanese hospitals. Total Quality Management & Business Excellence 2017; 28: 1–11.
14. Alqudah AA, Al-Emran M, Shaalan K. Technology acceptance in healthcare: A systematic review. Applied Sciences (Switzerland); 11. Epub ahead of print 2021. DOI: 10.3390/app112210537.
15. Geny M, Andres E, Talha S, et al. Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare. Sensors; 24. Epub ahead of print 2024. DOI: 10.3390/s24113491.
16. Al-Nbhany WANA, Zahary AT, Al-Shargabi AA. Blockchain-IoT Healthcare Applications and Trends: A Review. IEEE Access 2024; 12: 4178–4212.
17. Tanwar S, Parekh K, Evans R. Blockchain-based electronic healthcare record system for healthcare 4.0 applications. Journal of Information Security and Applications; 50. Epub ahead of print 2020. DOI: 10.1016/j.jisa.2019.102407.
18. Tursunbayeva A, Renkema M. Artificial intelligence in health-care: implications for the job design of healthcare professionals. Asia Pacific Journal of Human Resources 2023; 61: 845–887.
19. Jabr YA, Sandhu J. Limitations of health technology implementation: A commentary on “artificial intelligence, regenerative surgery, robotics? What is realistic for the future of surgery?” Annals of Medicine and Surgery 2020; 60: 702–703.
20. Gupta V, Gupta C, Swacha J, et al. Prototyping technology adoption among entrepreneurship and innovation libraries for rural health innovations. Library Hi Tech. Epub ahead of print 2023. DOI: 10.1108/LHT-03-2023-0120.
21. Baby D, John L, Pia JC, et al. Role of robotics and artificial intelligence in oral health education. Knowledge, perception and attitude of dentists in India. J Educ Health Promot 2023; 12: 384.
22. Ramezani M, Takian A, Bakhtiari A, et al. Bibliometric Analysis of Artificial Intelligence Revolutions in Health-related Sustainable Development Goals. Health Technology Assessment in Action; 7. Epub ahead of print 2023. DOI: 10.18502/htaa.v7i4.14654.
23. Novillo-Ortiz D, De Fátima Marin H, Saigí-Rubió F. The role of digital health in supporting the achievement of the Sustainable Development Goals (SDGs). Int J Med Inform 2018; 114: 106–107.
24. Luyckx VA, Al-Aly Z, Bello AK, et al. Sustainable Development Goals relevant to kidney health: an update on progress. Nat Rev Nephrol 2021; 17: 15–32.
25. Goel RK, Vishnoi S. Strengthening and Sustaining Health-Related Outcomes Through Digital Health Interventions. Journal of Engineering Science and Technology Review 2023; 16: 10–17.
26. Rahman MS, Safa NT, Sultana S, et al. Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh. Parasite Epidemiol Control; 18. Epub ahead of print 2022. DOI: 10.1016/j.parepi.2022.e00266.
27. Cabanillas-Carbonell M, Pérez-Martínez J, A. Yáñez J. 5G Technology in the Digital Transformation of Healthcare, a Systematic Review. Sustainability (Switzerland); 15. Epub ahead of print 2023. DOI: 10.3390/su15043178.
28. Balay-odao EM, Omirzakova D, Bolla SR, et al. Health professions students’ perceptions of artificial intelligence and its integration to health professions education and healthcare: a thematic analysis. AI Soc. Epub ahead of print 2024. DOI: 10.1007/s00146-024-01957-5.
29. Aceto G, Persico V, Pescapé A. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. J Ind Inf Integr; 18. Epub ahead of print 2020. DOI: 10.1016/j.jii.2020.100129.
30. Carrera-Rivera A, Ochoa W, Larrinaga F, et al. How-to conduct a systematic literature review: A quick guide for computer science research. MethodsX; 9. Epub ahead of print 2022. DOI: 10.1016/j.mex.2022.101895.
31. Okoli C, Schabram K. A guide to conducting a systematic literature review of information systems research.
32. Lame G. Systematic Literature Reviews: An Introduction. Proceedings of the Design Society: International Conference on Engineering Design 2019; 1: 1633–1642.
33. Nightingale A. A guide to systematic literature reviews. Surgery (Oxford) 2009; 27: 381–384.
34. Chakraborty A, Kar AK. How to Undertake an Impactful Literature Review: Understanding Review Approaches and Guidelines for High-impact Systematic Literature Reviews. South Asian Journal of Business and Management Cases 2024; 13: 18–35.
35. Mendes E, Wohlin C, Felizardo K, et al. When to update systematic literature reviews in software engineering. Journal of Systems and Software; 167. Epub ahead of print 2020. DOI: 10.1016/j.jss.2020.110607.
36. Schweizer ML, Nair R. A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution. Am J Infect Control 2017; 45: 1292–1294.
37. Pareek A, Lungren MP, Halabi SS. The requirements for performing artificial-intelligence-related research and model development. Pediatr Radiol 2022; 52: 2094–2100.
38. Emon MMH, Hassan F, Nahid MH, et al. Predicting Adoption Intention of Artificial Intelligence- A Study on ChatGPT. AIUB Journal of Science and Engineering 2023; 22: 189–196.
39. Yi-No Kang E, Chen D-R, Chen Y-Y. Associations between literacy and attitudes toward artificial intelligence–assisted medical consultations: The mediating role of perceived distrust and efficiency of artificial intelligence. Comput Human Behav; 139. Epub ahead of print 2023. DOI: 10.1016/j.chb.2022.107529.
40. Levy M, Pauzner M, Rosenblum S, et al. Achieving trust in health-behavior-change artificial intelligence apps (HBC-AIApp) development: A multi-perspective guide. J Biomed Inform; 143. Epub ahead of print 2023. DOI: 10.1016/j.jbi.2023.104414.
41. Park J, Oh K, Han K, et al. Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting. Sci Rep; 14. Epub ahead of print 2024. DOI: 10.1038/s41598-024-63824-z.
42. Chen Y, Wu Z, Wang P, et al. Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study. J Med Internet Res; 25. Epub ahead of print 2023. DOI: 10.2196/48249.
43. Doria AS. Applications of artificial intelligence in clinical management, research, and health administration: imaging perspectives with a focus on hemophilia. Expert Rev Hematol 2023; 16: 391–405.
44. Lu Y. The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major. J Environ Public Health; 2022. Epub ahead of print 2022. DOI: 10.1155/2022/5353889.
45. Rodriguez R V, Sinha S, Tripathi S. Impact of Artificial Intelligence on the health protection scheme in India. Public Administration and Policy 2020; 23: 273–281.
46. Setiawan R, Iskandar R, Madjid N, et al. Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia. International Journal of Interactive Mobile Technologies 2023; 17: 36–47.
47. Tajuddin NW, Wardhana YW, Indrati R. Pemanfaatan Kecerdasan Buatan (AI) Pada MRI. Jurnal Sudut Pandang 2024; 4: 29–37.
48. Hamid ARAH. Cutting-edge technology application for prostate disease management in Indonesia: implementation of Healthcare 5.0 towards Indonesia’s Golden Vision 2045. Medical Journal of Indonesia 2024; 33: 63–69.
49. Lowe R. Networked and integrated sustainable urban technologies in internet of things-enabled smart city governance. Geopolitics, History, and International Relations 2021; 13: 75–85.
50. Wu F, Wu T, Yuce MR. An internet-of-things (IoT) network system for connected safety and health monitoring applications. Sensors (Switzerland); 19. Epub ahead of print 2019. DOI: 10.3390/s19010021.
51. Bi S, Wang C, Zhang J, et al. A Survey on Artificial Intelligence Aided Internet-of-Things Technologies in Emerging Smart Libraries. Sensors; 22. Epub ahead of print 2022. DOI: 10.3390/s22082991.
52. Mulligan K. Computationally networked urbanism and advanced sustainability analytics in internet of things-enabled smart city governance. Geopolitics, History, and International Relations 2021; 13: 121–134.
53. Lee HY, Lee KH, Lee KH, et al. Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform. Digit Health; 9. Epub ahead of print 2023. DOI: 10.1177/20552076221149659.
54. Qin L, Xie Y. Real-Time Monitoring System of Exercise Status Based on Internet of Health Things Using Safety Architecture Model. IEEE Access 2021; 9: 27333–27345.
55. Ru L, Zhang B, Duan J, et al. A Detailed Research on Human Health Monitoring System Based on Internet of Things. Wirel Commun Mob Comput; 2021. Epub ahead of print 2021. DOI: 10.1155/2021/5592454.
56. Feng R, Chang N. Internet of Things System of Spatial Structure Sports Events Health Monitoring Based on Cloud Computing. Security and Communication Networks; 2022. Epub ahead of print 2022. DOI: 10.1155/2022/1354640.
57. Bai B, Nazir S, Bai Y, et al. Security and provenance for Internet of Health Things: A systematic literature review. Journal of Software: Evolution and Process; 33. Epub ahead of print 2021. DOI: 10.1002/smr.2335.
58. Chen Z. Design and Analysis of Adolescent Physical Health Monitoring System under the Background of Internet of Things and 5G. J Healthc Eng; 2021. Epub ahead of print 2021. DOI: 10.1155/2021/5208976.
59. Harold Robinson Y, Arogya Presskila X, Samraj Lawrence T. Utilization of Internet of Things in Health Care Information System. In: Intelligent Systems Reference Library, pp. 35–46.
60. Thabit AA, Mahmoud MS, Alkhayyat A, et al. Energy harvesting Internet of Things health-based paradigm: Towards outage probability reduction through inter–wireless body area network cooperation. Int J Distrib Sens Netw; 15. Epub ahead of print 2019. DOI: 10.1177/1550147719879870.
61. Hussain S, Ullah SS, Shorfuzzaman M, et al. Cryptanalysis of an online/offline certificateless signature scheme for internet of health things. Intelligent Automation and Soft Computing 2021; 30: 983–993.
62. Omotosho A, Ayemlo Haruna B, Mikail Olaniyi O. Threat modeling of Internet of Things health devices. Journal of Applied Security Research. Epub ahead of print 2019. DOI: 10.1080/19361610.2019.1545278.
63. Junaidi W. Value Chain Analysis to Identify Internet of Things Use Cases in The Indonesian Pharmaceutical Industry. Business Economic, Communication, and Social Sciences Journal (BECOSS) 2022; 4: 157–163.
64. Rahman MS, Chamikara MAP, Khalil I, et al. Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city. J Ind Inf Integr; 30. Epub ahead of print 2022. DOI: 10.1016/j.jii.2022.100408.
65. Martinez V, Zhao M, Blujdea C, et al. Blockchain-driven customer order management. International Journal of Operations and Production Management 2019; 39: 993–1022.
66. Vangala A, Sutrala AK, Das AK, et al. Smart Contract-Based Blockchain-Envisioned Authentication Scheme for Smart Farming. IEEE Internet Things J 2021; 8: 10792–10806.
67. Nicolai B, Tallarico S, Pellegrini L, et al. Blockchain for electronic medical record: assessing stakeholders’ readiness for successful blockchain adoption in health-care. Measuring Business Excellence 2023; 27: 157–171.
68. Jung DH. Enhancing Competitive Capabilities of Healthcare SCM through the Blockchain: Big Data Business Model’s Viewpoint. Sustainability (Switzerland); 14. Epub ahead of print 2022. DOI: 10.3390/su14084815.
69. Huang X, Yang S, Wang J, et al. The influencing mechanism of big data analytics technology capability on enterprise’s operational performance: The mediating role of data-tool fit. Front Psychol; 13. Epub ahead of print 2022. DOI: 10.3389/fpsyg.2022.948764.
70. Saeed M, Adiguzel Z, Shafique I, et al. Big data analytics-enabled dynamic capabilities and firm performance: examining the roles of marketing ambidexterity and environmental dynamism. Business Process Management Journal 2023; 29: 1204–1226.
71. Rashid A, Baloch N, Rasheed R, et al. Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country. Journal of Science and Technology Policy Management. Epub ahead of print 2024. DOI: 10.1108/JSTPM-04-2023-0050.
72. Khanra S, Dhir A, Islam N, et al. Big data analytics in healthcare: a systematic literature review. Enterp Inf Syst 2020; 14: 878–912.
73. Al Teneiji AS, Abu Salim TY, Riaz Z. Factors impacting the adoption of big data in healthcare: A systematic literature review. Int J Med Inform; 187. Epub ahead of print 2024. DOI: 10.1016/j.ijmedinf.2024.105460.
74. Abidi SSR, Abidi SR. Intelligent health data analytics: A convergence of artificial intelligence and big data. Healthc Manage Forum 2019; 32: 178–182.
75. Fahlevi H, Irsyadillah I, Indriani M, et al. DRG-based payment system and management accounting changes in an Indonesian public hospital: exploring potential roles of big data analytics. Journal of Accounting & Organizational Change 2022; 18: 325–345.
76. Khalid O, Hao G, MacDonald H, et al. Cost-benefit assessment framework for robotics-driven inspection of floating offshore wind farms. Wind Energy 2024; 27: 152–164.
77. Specchia ML, Arcuri G, Di Pilla A, et al. The value of surgical admissions for malignant uterine cancer. A comparative analysis of robotic, laparoscopic, and laparotomy surgery in a university hospital. Front Public Health; 10. Epub ahead of print 2022. DOI: 10.3389/fpubh.2022.920578.
78. Jiang W, Zhao X, Gan T, et al. Application of a Tele‐Ultrasound Robot DuringCOVID ‐19 Pandemic. Journal of Ultrasound in Medicine 2023; 42: 595–601.
79. Duan B, Xiong L, Guan X, et al. Tele-operated robotic ultrasound system for medical diagnosis. Biomed Signal Process Control 2021; 70: 102900.
80. Xia S-B, Lu Q-S. Development status of telesurgery robotic system. Chinese Journal of Traumatology - English Edition 2021; 24: 144–147.
81. Oki E, Ota M, Nakanoko T, et al. Telesurgery and telesurgical support using a double-surgeon cockpit system allowing manipulation from two locations. Surg Endosc 2023; 37: 6071–6078.
82. Malik MH, Brinjikji W. Feasibility of telesurgery in the modern era. Neuroradiology Journal 2022; 35: 423–426.
83. Barba P, Stramiello J, Funk EK, et al. Remote telesurgery in humans: a systematic review. Surg Endosc 2022; 36: 2771–2777.
84. Li C, Zheng J, Zhang X, et al. Telemedicine network latency management system in 5G telesurgery: a feasibility and effectiveness study. Surg Endosc. Epub ahead of print 2023. DOI: 10.1007/s00464-023-10585-x.
85. Lee U-K, Kim H. UTAUT in Metaverse: An “Ifland” Case. Journal of Theoretical and Applied Electronic Commerce Research 2022; 17: 613–635.
86. Almessabi H, Al-kfairy M. Unlocking the Future of Farming: A Review of Metaverse Integration in Agriculture. IEEE Engineering Management Review 2024; 1–13.
87. Huang S, Luo H, Zheng P, et al. Towards Industrial Metaverse: Opportunities and challenges. Journal of Advanced Manufacturing Science and Technology; 3. Epub ahead of print 2023. DOI: 10.51393/j.jamst.2023011.
88. Tretter M, Samhammer D, Ott T, et al. Towards an Ethics for the Healthcare Metaverse. Journal of Metaverse 2023; 3: 181–189.
89. Bashir AK, Victor N, Bhattacharya S, et al. Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. IEEE Internet Things J 2023; 10: 21873–21891.
90. Lee CW. Application of Metaverse Service to Healthcare Industry: A Strategic Perspective. Int J Environ Res Public Health; 19. Epub ahead of print 2022. DOI: 10.3390/ijerph192013038.
91. Ford TJ, Buchanan DM, Azeez A, et al. Taking modern psychiatry into the metaverse: Integrating augmented, virtual, and mixed reality technologies into psychiatric care. Front Digit Health; 5. Epub ahead of print 2023. DOI: 10.3389/fdgth.2023.1146806.
92. Ghani MM, Osman MN, Omar SZ, et al. A Review of Current Metaverse Applications as a Tool for Reshaping Human Behaviour in Health Communication. Journal of Advanced Research in Applied Sciences and Engineering Technology 2024; 36: 188–198.
93. Leung L, Chen C. E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecomm Policy 2019; 43: 563–575.
94. Oumaima H, Aziz S. DIGITAL HEALTH SYSTEM AND E-HEALTH IN THE FOLLOWING COUNTRIES: UNITED KINGDOM, NORWAY, SWEDEN, DENMARK, GERMANY AND UNITED STATES. J Theor Appl Inf Technol 2024; 101: 167–176.
95. Maguire TK, Yoon S, Chen J. Collaborating for COVID-19: Hospital Health Information Exchange and Public Health Partnership. Telemedicine and e-Health 2024; 30: 108–117.
96. Stephanie V, Khalil I, Atiquzzaman M. Digital Twin Enabled Asynchronous SplitFed Learning in E-Healthcare Systems. IEEE Journal on Selected Areas in Communications 2023; 41: 3650–3661.
97. Aydin G, Kumru S. Paving the way for increased e-health record use: elaborating intentions of Gen-Z. Health Systems 2023; 12: 281–298.
98. Megawati S, Epriliantor DF, Mahdiannur MA, et al. Evaluation of Patient Data Protection in the Implementation of the E-Health Program in the City of Surabaya. Journal La Sociale 2023; 4: 20–25.
99. Niedfeldt HJ, Beckstead E, Chahalis E, et al. Use of technology to access health information/services and subsequent association with wash (water access, sanitation, and hygiene) knowledge and behaviors among women with children under 2 years of age in Indonesia: Cross-sectional study. JMIR Public Health Surveill; 7. Epub ahead of print 2021. DOI: 10.2196/19349.
100. Ukachi NB, Anasi SNI. Information and communication technologies and access to maternal and child health information: Implications for sustainable development. Information Development 2019; 35: 524–534.
101. Liljamo P, Wahlberg J, Mikkonen H, et al. A Digital Care Pathway to Access Healthcare without Time and Place Restrictions. In: Studies in Health Technology and Informatics, pp. 163–165.
102. Anjum HF, Rasid SZA, Khalid H, et al. Mapping research trends of blockchain technology in healthcare. IEEE Access 2020; 8: 174244–174254.
103. Lebret A, Minssen T. Digital health, artificial intelligence and accessibility to health care in Denmark. Eur Hum Rights Law Rev 2021; 2021: 39–49.
104. Nugroho AP, Handayani S, Effendi DE. Health Citizenship and Healthcare Access in Indonesia, 1945-2020. Jurnal Ilmu Sosial dan Ilmu Politik 2021; 24: 284–301.
105. Thayananthan V. Healthcare management using ICT and IoT based 5G. International Journal of Advanced Computer Science and Applications 2019; 10: 305–312.
106. Siriwardhana Y, Gür G, Ylianttila M, et al. The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges. ICT Express 2021; 7: 244–252.
107. Zahid A, Poulsen JK, Sharma R, et al. A systematic review of emerging information technologies for sustainable data-centric health-care. Int J Med Inform; 149. Epub ahead of print 2021. DOI: 10.1016/j.ijmedinf.2021.104420.
108. Abidi MH, Umer U, Mian SH, et al. Big Data-Based Smart Health Monitoring System: Using Deep Ensemble Learning. IEEE Access 2023; 11: 114880–114903.
109. Abbas A, Alroobaea R, Krichen M, et al. Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things. Pers Ubiquitous Comput 2024; 28: 59–72.
110. Senkaiahliyan S, Petch J, Sekercioglu N, et al. A Primer on Artificial Intelligence for Healthcare Administrators. Healthc Q 2024; 27: 26–33.
111. Kjekshus LE, Bygstad B. Competing institutional logics in healthcare organizations: theorising digitalism. J Health Organ Manag. Epub ahead of print 2024. DOI: 10.1108/JHOM-03-2024-0107.
112. Geissler A, Hollenbach J, Haring M, et al. A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar. Health Policy Technol; 13. Epub ahead of print 2024. DOI: 10.1016/j.hlpt.2024.100904.
113. Kanwel S, Ma Z, Li M, et al. The influence of hospital services on patient satisfaction in OPDs: evidence from the transition to a digital system in South Punjab, Pakistan. Health Res Policy Syst; 22. Epub ahead of print 2024. DOI: 10.1186/s12961-024-01178-8.
114. Chen T-H, Ma C-C, Chiang L-L, et al. ACCEPTANCE OF SUSTAINED UTILIZATION BEHAVIOR OF TELEMEDICINE IN THE POST-COVID-19 ERA. Appl Ecol Environ Res 2022; 20: 4633–4644.
2. Kassim ES, Zamzuri NH, Jalil SA, et al. A Social Innovation Model for Sustainable Development: A Case Study of a Malaysian Entrepreneur Cooperative (KOKULAC). Adm Sci; 12. Epub ahead of print 2022. DOI: 10.3390/admsci12030103.
3. Hák T, Janoušková S, Moldan B. Sustainable Development Goals: A need for relevant indicators. Ecol Indic 2016; 60: 565–573.
4. Mohamad Taghvaee V, Assari Arani A, Nodehi M, et al. Sustainable development goals: transportation, health and public policy. Review of Economics and Political Science 2023; 8: 134–161.
5. Filho WL, Brandli LL, Salvia AL, et al. COVID-19 and the UN sustainable development goals: Threat to solidarity or an opportunity? Sustainability (Switzerland); 12. Epub ahead of print 2020. DOI: 10.3390/su12135343.
6. Nnamuchi O. The Sustainable Development Goals (SDGS) and the Right to Health: Is There a Nexus? Fla J Int Law; 32, https://heinonline.org/HOL/Page?handle=hein.journals/fjil32&id=157&div=&collection= (2020, accessed 5 February 2022).
7. de Menezes HZ, Borges LC. Bridging Health, Innovation, and Sustainable Development: Achievements and Pitfalls of Vaccination Policies in Brazil. In: Sustainable Development Goals Series. Springer, pp. 113–123.
8. Denicolai S, Previtali P. Innovation strategy and digital transformation execution in healthcare: The role of the general manager. Technovation; 121. Epub ahead of print 2023. DOI: 10.1016/j.technovation.2022.102555.
9. Arifiani L, Budiastuti ID, Erika WK. The effect of disruption technology, and the future knowledge management toward service innovation for telecommunication industry 4.0 in Indonesia. Int J Eng Adv Technol 2019; 8: 247–257.
10. Ray S, Herman N, Sen I. Disruptive transformation fueling gig economies. In: 2021 IEEE Technology and Engineering Management Conference - Europe, TEMSCON-EUR 2021. Institute of Electrical and Electronics Engineers Inc. Epub ahead of print 2021. DOI: 10.1109/TEMSCON-EUR52034.2021.9488630.
11. Pratono AH. Innovation strategy beyond the COVID-19 pandemic: the role of trust under disruptive technology. Foresight. Epub ahead of print 2021. DOI: 10.1108/FS-05-2021-0105.
12. Xiong X. Bring technology home and stay healthy: The role of fourth industrial revolution and technology in improving the efficacy of health care spending. Technol Forecast Soc Change; 165. Epub ahead of print 2021. DOI: 10.1016/j.techfore.2020.120556.
13. Aoun M, Hasnan N. Health-care technology management: developing the innovation skills through implementing soft TQM among Lebanese hospitals. Total Quality Management & Business Excellence 2017; 28: 1–11.
14. Alqudah AA, Al-Emran M, Shaalan K. Technology acceptance in healthcare: A systematic review. Applied Sciences (Switzerland); 11. Epub ahead of print 2021. DOI: 10.3390/app112210537.
15. Geny M, Andres E, Talha S, et al. Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare. Sensors; 24. Epub ahead of print 2024. DOI: 10.3390/s24113491.
16. Al-Nbhany WANA, Zahary AT, Al-Shargabi AA. Blockchain-IoT Healthcare Applications and Trends: A Review. IEEE Access 2024; 12: 4178–4212.
17. Tanwar S, Parekh K, Evans R. Blockchain-based electronic healthcare record system for healthcare 4.0 applications. Journal of Information Security and Applications; 50. Epub ahead of print 2020. DOI: 10.1016/j.jisa.2019.102407.
18. Tursunbayeva A, Renkema M. Artificial intelligence in health-care: implications for the job design of healthcare professionals. Asia Pacific Journal of Human Resources 2023; 61: 845–887.
19. Jabr YA, Sandhu J. Limitations of health technology implementation: A commentary on “artificial intelligence, regenerative surgery, robotics? What is realistic for the future of surgery?” Annals of Medicine and Surgery 2020; 60: 702–703.
20. Gupta V, Gupta C, Swacha J, et al. Prototyping technology adoption among entrepreneurship and innovation libraries for rural health innovations. Library Hi Tech. Epub ahead of print 2023. DOI: 10.1108/LHT-03-2023-0120.
21. Baby D, John L, Pia JC, et al. Role of robotics and artificial intelligence in oral health education. Knowledge, perception and attitude of dentists in India. J Educ Health Promot 2023; 12: 384.
22. Ramezani M, Takian A, Bakhtiari A, et al. Bibliometric Analysis of Artificial Intelligence Revolutions in Health-related Sustainable Development Goals. Health Technology Assessment in Action; 7. Epub ahead of print 2023. DOI: 10.18502/htaa.v7i4.14654.
23. Novillo-Ortiz D, De Fátima Marin H, Saigí-Rubió F. The role of digital health in supporting the achievement of the Sustainable Development Goals (SDGs). Int J Med Inform 2018; 114: 106–107.
24. Luyckx VA, Al-Aly Z, Bello AK, et al. Sustainable Development Goals relevant to kidney health: an update on progress. Nat Rev Nephrol 2021; 17: 15–32.
25. Goel RK, Vishnoi S. Strengthening and Sustaining Health-Related Outcomes Through Digital Health Interventions. Journal of Engineering Science and Technology Review 2023; 16: 10–17.
26. Rahman MS, Safa NT, Sultana S, et al. Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh. Parasite Epidemiol Control; 18. Epub ahead of print 2022. DOI: 10.1016/j.parepi.2022.e00266.
27. Cabanillas-Carbonell M, Pérez-Martínez J, A. Yáñez J. 5G Technology in the Digital Transformation of Healthcare, a Systematic Review. Sustainability (Switzerland); 15. Epub ahead of print 2023. DOI: 10.3390/su15043178.
28. Balay-odao EM, Omirzakova D, Bolla SR, et al. Health professions students’ perceptions of artificial intelligence and its integration to health professions education and healthcare: a thematic analysis. AI Soc. Epub ahead of print 2024. DOI: 10.1007/s00146-024-01957-5.
29. Aceto G, Persico V, Pescapé A. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. J Ind Inf Integr; 18. Epub ahead of print 2020. DOI: 10.1016/j.jii.2020.100129.
30. Carrera-Rivera A, Ochoa W, Larrinaga F, et al. How-to conduct a systematic literature review: A quick guide for computer science research. MethodsX; 9. Epub ahead of print 2022. DOI: 10.1016/j.mex.2022.101895.
31. Okoli C, Schabram K. A guide to conducting a systematic literature review of information systems research.
32. Lame G. Systematic Literature Reviews: An Introduction. Proceedings of the Design Society: International Conference on Engineering Design 2019; 1: 1633–1642.
33. Nightingale A. A guide to systematic literature reviews. Surgery (Oxford) 2009; 27: 381–384.
34. Chakraborty A, Kar AK. How to Undertake an Impactful Literature Review: Understanding Review Approaches and Guidelines for High-impact Systematic Literature Reviews. South Asian Journal of Business and Management Cases 2024; 13: 18–35.
35. Mendes E, Wohlin C, Felizardo K, et al. When to update systematic literature reviews in software engineering. Journal of Systems and Software; 167. Epub ahead of print 2020. DOI: 10.1016/j.jss.2020.110607.
36. Schweizer ML, Nair R. A practical guide to systematic literature reviews and meta-analyses in infection prevention: Planning, challenges, and execution. Am J Infect Control 2017; 45: 1292–1294.
37. Pareek A, Lungren MP, Halabi SS. The requirements for performing artificial-intelligence-related research and model development. Pediatr Radiol 2022; 52: 2094–2100.
38. Emon MMH, Hassan F, Nahid MH, et al. Predicting Adoption Intention of Artificial Intelligence- A Study on ChatGPT. AIUB Journal of Science and Engineering 2023; 22: 189–196.
39. Yi-No Kang E, Chen D-R, Chen Y-Y. Associations between literacy and attitudes toward artificial intelligence–assisted medical consultations: The mediating role of perceived distrust and efficiency of artificial intelligence. Comput Human Behav; 139. Epub ahead of print 2023. DOI: 10.1016/j.chb.2022.107529.
40. Levy M, Pauzner M, Rosenblum S, et al. Achieving trust in health-behavior-change artificial intelligence apps (HBC-AIApp) development: A multi-perspective guide. J Biomed Inform; 143. Epub ahead of print 2023. DOI: 10.1016/j.jbi.2023.104414.
41. Park J, Oh K, Han K, et al. Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting. Sci Rep; 14. Epub ahead of print 2024. DOI: 10.1038/s41598-024-63824-z.
42. Chen Y, Wu Z, Wang P, et al. Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study. J Med Internet Res; 25. Epub ahead of print 2023. DOI: 10.2196/48249.
43. Doria AS. Applications of artificial intelligence in clinical management, research, and health administration: imaging perspectives with a focus on hemophilia. Expert Rev Hematol 2023; 16: 391–405.
44. Lu Y. The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major. J Environ Public Health; 2022. Epub ahead of print 2022. DOI: 10.1155/2022/5353889.
45. Rodriguez R V, Sinha S, Tripathi S. Impact of Artificial Intelligence on the health protection scheme in India. Public Administration and Policy 2020; 23: 273–281.
46. Setiawan R, Iskandar R, Madjid N, et al. Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia. International Journal of Interactive Mobile Technologies 2023; 17: 36–47.
47. Tajuddin NW, Wardhana YW, Indrati R. Pemanfaatan Kecerdasan Buatan (AI) Pada MRI. Jurnal Sudut Pandang 2024; 4: 29–37.
48. Hamid ARAH. Cutting-edge technology application for prostate disease management in Indonesia: implementation of Healthcare 5.0 towards Indonesia’s Golden Vision 2045. Medical Journal of Indonesia 2024; 33: 63–69.
49. Lowe R. Networked and integrated sustainable urban technologies in internet of things-enabled smart city governance. Geopolitics, History, and International Relations 2021; 13: 75–85.
50. Wu F, Wu T, Yuce MR. An internet-of-things (IoT) network system for connected safety and health monitoring applications. Sensors (Switzerland); 19. Epub ahead of print 2019. DOI: 10.3390/s19010021.
51. Bi S, Wang C, Zhang J, et al. A Survey on Artificial Intelligence Aided Internet-of-Things Technologies in Emerging Smart Libraries. Sensors; 22. Epub ahead of print 2022. DOI: 10.3390/s22082991.
52. Mulligan K. Computationally networked urbanism and advanced sustainability analytics in internet of things-enabled smart city governance. Geopolitics, History, and International Relations 2021; 13: 121–134.
53. Lee HY, Lee KH, Lee KH, et al. Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform. Digit Health; 9. Epub ahead of print 2023. DOI: 10.1177/20552076221149659.
54. Qin L, Xie Y. Real-Time Monitoring System of Exercise Status Based on Internet of Health Things Using Safety Architecture Model. IEEE Access 2021; 9: 27333–27345.
55. Ru L, Zhang B, Duan J, et al. A Detailed Research on Human Health Monitoring System Based on Internet of Things. Wirel Commun Mob Comput; 2021. Epub ahead of print 2021. DOI: 10.1155/2021/5592454.
56. Feng R, Chang N. Internet of Things System of Spatial Structure Sports Events Health Monitoring Based on Cloud Computing. Security and Communication Networks; 2022. Epub ahead of print 2022. DOI: 10.1155/2022/1354640.
57. Bai B, Nazir S, Bai Y, et al. Security and provenance for Internet of Health Things: A systematic literature review. Journal of Software: Evolution and Process; 33. Epub ahead of print 2021. DOI: 10.1002/smr.2335.
58. Chen Z. Design and Analysis of Adolescent Physical Health Monitoring System under the Background of Internet of Things and 5G. J Healthc Eng; 2021. Epub ahead of print 2021. DOI: 10.1155/2021/5208976.
59. Harold Robinson Y, Arogya Presskila X, Samraj Lawrence T. Utilization of Internet of Things in Health Care Information System. In: Intelligent Systems Reference Library, pp. 35–46.
60. Thabit AA, Mahmoud MS, Alkhayyat A, et al. Energy harvesting Internet of Things health-based paradigm: Towards outage probability reduction through inter–wireless body area network cooperation. Int J Distrib Sens Netw; 15. Epub ahead of print 2019. DOI: 10.1177/1550147719879870.
61. Hussain S, Ullah SS, Shorfuzzaman M, et al. Cryptanalysis of an online/offline certificateless signature scheme for internet of health things. Intelligent Automation and Soft Computing 2021; 30: 983–993.
62. Omotosho A, Ayemlo Haruna B, Mikail Olaniyi O. Threat modeling of Internet of Things health devices. Journal of Applied Security Research. Epub ahead of print 2019. DOI: 10.1080/19361610.2019.1545278.
63. Junaidi W. Value Chain Analysis to Identify Internet of Things Use Cases in The Indonesian Pharmaceutical Industry. Business Economic, Communication, and Social Sciences Journal (BECOSS) 2022; 4: 157–163.
64. Rahman MS, Chamikara MAP, Khalil I, et al. Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city. J Ind Inf Integr; 30. Epub ahead of print 2022. DOI: 10.1016/j.jii.2022.100408.
65. Martinez V, Zhao M, Blujdea C, et al. Blockchain-driven customer order management. International Journal of Operations and Production Management 2019; 39: 993–1022.
66. Vangala A, Sutrala AK, Das AK, et al. Smart Contract-Based Blockchain-Envisioned Authentication Scheme for Smart Farming. IEEE Internet Things J 2021; 8: 10792–10806.
67. Nicolai B, Tallarico S, Pellegrini L, et al. Blockchain for electronic medical record: assessing stakeholders’ readiness for successful blockchain adoption in health-care. Measuring Business Excellence 2023; 27: 157–171.
68. Jung DH. Enhancing Competitive Capabilities of Healthcare SCM through the Blockchain: Big Data Business Model’s Viewpoint. Sustainability (Switzerland); 14. Epub ahead of print 2022. DOI: 10.3390/su14084815.
69. Huang X, Yang S, Wang J, et al. The influencing mechanism of big data analytics technology capability on enterprise’s operational performance: The mediating role of data-tool fit. Front Psychol; 13. Epub ahead of print 2022. DOI: 10.3389/fpsyg.2022.948764.
70. Saeed M, Adiguzel Z, Shafique I, et al. Big data analytics-enabled dynamic capabilities and firm performance: examining the roles of marketing ambidexterity and environmental dynamism. Business Process Management Journal 2023; 29: 1204–1226.
71. Rashid A, Baloch N, Rasheed R, et al. Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country. Journal of Science and Technology Policy Management. Epub ahead of print 2024. DOI: 10.1108/JSTPM-04-2023-0050.
72. Khanra S, Dhir A, Islam N, et al. Big data analytics in healthcare: a systematic literature review. Enterp Inf Syst 2020; 14: 878–912.
73. Al Teneiji AS, Abu Salim TY, Riaz Z. Factors impacting the adoption of big data in healthcare: A systematic literature review. Int J Med Inform; 187. Epub ahead of print 2024. DOI: 10.1016/j.ijmedinf.2024.105460.
74. Abidi SSR, Abidi SR. Intelligent health data analytics: A convergence of artificial intelligence and big data. Healthc Manage Forum 2019; 32: 178–182.
75. Fahlevi H, Irsyadillah I, Indriani M, et al. DRG-based payment system and management accounting changes in an Indonesian public hospital: exploring potential roles of big data analytics. Journal of Accounting & Organizational Change 2022; 18: 325–345.
76. Khalid O, Hao G, MacDonald H, et al. Cost-benefit assessment framework for robotics-driven inspection of floating offshore wind farms. Wind Energy 2024; 27: 152–164.
77. Specchia ML, Arcuri G, Di Pilla A, et al. The value of surgical admissions for malignant uterine cancer. A comparative analysis of robotic, laparoscopic, and laparotomy surgery in a university hospital. Front Public Health; 10. Epub ahead of print 2022. DOI: 10.3389/fpubh.2022.920578.
78. Jiang W, Zhao X, Gan T, et al. Application of a Tele‐Ultrasound Robot During
79. Duan B, Xiong L, Guan X, et al. Tele-operated robotic ultrasound system for medical diagnosis. Biomed Signal Process Control 2021; 70: 102900.
80. Xia S-B, Lu Q-S. Development status of telesurgery robotic system. Chinese Journal of Traumatology - English Edition 2021; 24: 144–147.
81. Oki E, Ota M, Nakanoko T, et al. Telesurgery and telesurgical support using a double-surgeon cockpit system allowing manipulation from two locations. Surg Endosc 2023; 37: 6071–6078.
82. Malik MH, Brinjikji W. Feasibility of telesurgery in the modern era. Neuroradiology Journal 2022; 35: 423–426.
83. Barba P, Stramiello J, Funk EK, et al. Remote telesurgery in humans: a systematic review. Surg Endosc 2022; 36: 2771–2777.
84. Li C, Zheng J, Zhang X, et al. Telemedicine network latency management system in 5G telesurgery: a feasibility and effectiveness study. Surg Endosc. Epub ahead of print 2023. DOI: 10.1007/s00464-023-10585-x.
85. Lee U-K, Kim H. UTAUT in Metaverse: An “Ifland” Case. Journal of Theoretical and Applied Electronic Commerce Research 2022; 17: 613–635.
86. Almessabi H, Al-kfairy M. Unlocking the Future of Farming: A Review of Metaverse Integration in Agriculture. IEEE Engineering Management Review 2024; 1–13.
87. Huang S, Luo H, Zheng P, et al. Towards Industrial Metaverse: Opportunities and challenges. Journal of Advanced Manufacturing Science and Technology; 3. Epub ahead of print 2023. DOI: 10.51393/j.jamst.2023011.
88. Tretter M, Samhammer D, Ott T, et al. Towards an Ethics for the Healthcare Metaverse. Journal of Metaverse 2023; 3: 181–189.
89. Bashir AK, Victor N, Bhattacharya S, et al. Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. IEEE Internet Things J 2023; 10: 21873–21891.
90. Lee CW. Application of Metaverse Service to Healthcare Industry: A Strategic Perspective. Int J Environ Res Public Health; 19. Epub ahead of print 2022. DOI: 10.3390/ijerph192013038.
91. Ford TJ, Buchanan DM, Azeez A, et al. Taking modern psychiatry into the metaverse: Integrating augmented, virtual, and mixed reality technologies into psychiatric care. Front Digit Health; 5. Epub ahead of print 2023. DOI: 10.3389/fdgth.2023.1146806.
92. Ghani MM, Osman MN, Omar SZ, et al. A Review of Current Metaverse Applications as a Tool for Reshaping Human Behaviour in Health Communication. Journal of Advanced Research in Applied Sciences and Engineering Technology 2024; 36: 188–198.
93. Leung L, Chen C. E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecomm Policy 2019; 43: 563–575.
94. Oumaima H, Aziz S. DIGITAL HEALTH SYSTEM AND E-HEALTH IN THE FOLLOWING COUNTRIES: UNITED KINGDOM, NORWAY, SWEDEN, DENMARK, GERMANY AND UNITED STATES. J Theor Appl Inf Technol 2024; 101: 167–176.
95. Maguire TK, Yoon S, Chen J. Collaborating for COVID-19: Hospital Health Information Exchange and Public Health Partnership. Telemedicine and e-Health 2024; 30: 108–117.
96. Stephanie V, Khalil I, Atiquzzaman M. Digital Twin Enabled Asynchronous SplitFed Learning in E-Healthcare Systems. IEEE Journal on Selected Areas in Communications 2023; 41: 3650–3661.
97. Aydin G, Kumru S. Paving the way for increased e-health record use: elaborating intentions of Gen-Z. Health Systems 2023; 12: 281–298.
98. Megawati S, Epriliantor DF, Mahdiannur MA, et al. Evaluation of Patient Data Protection in the Implementation of the E-Health Program in the City of Surabaya. Journal La Sociale 2023; 4: 20–25.
99. Niedfeldt HJ, Beckstead E, Chahalis E, et al. Use of technology to access health information/services and subsequent association with wash (water access, sanitation, and hygiene) knowledge and behaviors among women with children under 2 years of age in Indonesia: Cross-sectional study. JMIR Public Health Surveill; 7. Epub ahead of print 2021. DOI: 10.2196/19349.
100. Ukachi NB, Anasi SNI. Information and communication technologies and access to maternal and child health information: Implications for sustainable development. Information Development 2019; 35: 524–534.
101. Liljamo P, Wahlberg J, Mikkonen H, et al. A Digital Care Pathway to Access Healthcare without Time and Place Restrictions. In: Studies in Health Technology and Informatics, pp. 163–165.
102. Anjum HF, Rasid SZA, Khalid H, et al. Mapping research trends of blockchain technology in healthcare. IEEE Access 2020; 8: 174244–174254.
103. Lebret A, Minssen T. Digital health, artificial intelligence and accessibility to health care in Denmark. Eur Hum Rights Law Rev 2021; 2021: 39–49.
104. Nugroho AP, Handayani S, Effendi DE. Health Citizenship and Healthcare Access in Indonesia, 1945-2020. Jurnal Ilmu Sosial dan Ilmu Politik 2021; 24: 284–301.
105. Thayananthan V. Healthcare management using ICT and IoT based 5G. International Journal of Advanced Computer Science and Applications 2019; 10: 305–312.
106. Siriwardhana Y, Gür G, Ylianttila M, et al. The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges. ICT Express 2021; 7: 244–252.
107. Zahid A, Poulsen JK, Sharma R, et al. A systematic review of emerging information technologies for sustainable data-centric health-care. Int J Med Inform; 149. Epub ahead of print 2021. DOI: 10.1016/j.ijmedinf.2021.104420.
108. Abidi MH, Umer U, Mian SH, et al. Big Data-Based Smart Health Monitoring System: Using Deep Ensemble Learning. IEEE Access 2023; 11: 114880–114903.
109. Abbas A, Alroobaea R, Krichen M, et al. Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things. Pers Ubiquitous Comput 2024; 28: 59–72.
110. Senkaiahliyan S, Petch J, Sekercioglu N, et al. A Primer on Artificial Intelligence for Healthcare Administrators. Healthc Q 2024; 27: 26–33.
111. Kjekshus LE, Bygstad B. Competing institutional logics in healthcare organizations: theorising digitalism. J Health Organ Manag. Epub ahead of print 2024. DOI: 10.1108/JHOM-03-2024-0107.
112. Geissler A, Hollenbach J, Haring M, et al. A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar. Health Policy Technol; 13. Epub ahead of print 2024. DOI: 10.1016/j.hlpt.2024.100904.
113. Kanwel S, Ma Z, Li M, et al. The influence of hospital services on patient satisfaction in OPDs: evidence from the transition to a digital system in South Punjab, Pakistan. Health Res Policy Syst; 22. Epub ahead of print 2024. DOI: 10.1186/s12961-024-01178-8.
114. Chen T-H, Ma C-C, Chiang L-L, et al. ACCEPTANCE OF SUSTAINED UTILIZATION BEHAVIOR OF TELEMEDICINE IN THE POST-COVID-19 ERA. Appl Ecol Environ Res 2022; 20: 4633–4644.
Published
2025-12-31
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Alfarizi, M., & Noer, L. R. (2025). MENUJU KESEHATAN DAN KESEJAHTERAAN BERKELANJUTAN INDONESIA MELALUI TRANSFORMASI DIGITAL 5.0: WAWASAN DARI KAJIAN LITERATUR SISTEMATIK. Jurnal Manajemen Pelayanan Kesehatan (The Indonesian Journal of Health Service Management), 28(04), 118-130. https://doi.org/10.22146/jmpk.v28i04.19806
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