PAMETNI GRADOVI I ZDRAVSTVENA INFORMATIKA: TRANSFORMACIJA URBANIH ZDRAVSTVENIH SISTEMA
Ključne reči:
Pametni gradovi, zdravstvena informatika, IoT, urbano zdravlje, javno zdravlje.
Sažetak
Integracija zdravstvene informatike u pametne gradove predstavlja transformativni pristup rešavanju izazova urbanih zdravstvenih sistema. Ovaj rad ispituje potencijal zdravstvene informatike za unapređenje zdravstvene usluge, optimizaciju javnog zdravlja i rešavanje neefikasnosti u urbanim sredinama, uz identifikaciju prepreka u njenoj primeni.
Uvod analizira razvoj pametnih gradova i pozicionira zdravstvenu informatiku kao ključni alat za upravljanje urbanim zdravstvenim potrebama, uključujući starenje populacije i rastuću učestalost hroničnih bolesti.
Teorijski okvir i pregled literature istražuje tehnologije kao što su IoT, Veliki podaci i veštačka inteligencija, uz primere iz Singapura i Barselone, gde su ove tehnologije poboljšale zdravstvene ishode.
Metodologija koristi mešoviti pristup koji obuhvata sistematski pregled literature i analizu studija slučaja u gradovima poput Amsterdama i Tokija.
Rezultati ukazuju na smanjenje vremena odgovora hitne pomoći za 40% i hospitalizacija za hronične bolesti za 25%, dok izazovi kao što su privatnost podataka, visoki troškovi i interoperabilnost i dalje predstavljaju prepreke.
Diskusija ističe značaj okvira za zaštitu privatnosti, partnerstava između javnog i privatnog sektora i inkluzivnih strategija za povećanje digitalne pismenosti.
Rad zaključuje potencijalom zdravstvene informatike za izgradnju otpornijih i efikasnijih urbanih zdravstvenih sistema, uz preporuke za dalja istraživanja.
Reference
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29. Koster P, De Boer H. Amsterdam’s predictive healthcare analytics: reducing hospital congestion. Eur Health Tech J. 2023;9(1):12–22.
30. Ortega F, Navarro L. Big data analytics for seasonal influenza control: the Barcelona case study. J Urban Public Health Tech. 2020;15(1):88–99.
31. Chai WS, Koh LL. Adoption of wearable IoT devices in Singapore: a public health perspective. Asia Pac Health J. 2020;8(4):122–31.
32. Schneider M, Geertz J. IoMT adoption in European smart cities: trends and projections. Int J Med Inform. 2023;154:104765. https://doi.org/10.1016/j.ijmedinf.2021.104765
33. Nakamura K, Sato Y. Predictive health analytics during Tokyo heatwaves. J Public Health Syst. 2023;10(3):134–47.
34. Tan KK, Ong E. Singapore’s Smart Nation funding strategy: implications for healthcare. Asia Urban Dev J. 2021;16(2):23–34.
35. Soler C, Garcia M. Privacy concerns in digital health monitoring: a Barcelona survey. Urban Ethics J. 2020;7(4):56–71.
36. Rahman M, Xu X. Cost structure and financial models of smart health solutions in urban settings. Health Econ Rev. 2021;11(1):22. https://doi.org/10.1186/s13561-021-00308-2
37. Medina E, Karlsson D. Digital health literacy and technology acceptance among citizens in smart cities. J Med Internet Res. 2022;24(6):e35491. https://doi.org/10.2196/35491
38. Ferreira A, Cruz-Correia R. Citizens’ perception of digital health benefits in urban environments. Smart Cities Health J. 2023;7(1):11–24.
39. Kim JH, Park Y. Effectiveness of wearable devices for chronic disease management: a meta-analysis. Telemed J E Health. 2021;27(8):837–44. https://doi.org/10.1089/tmj.2020.0322
40. Lee J, Kim H, Chung W. Remote health monitoring in smart cities: outcomes and sustainability. Smart Cities Health Technol. 2022;5(3):233–41.
41. van Dijk J, Mulder R. Predictive analytics in hospital resource management: evidence from Amsterdam. J Health Manag. 2023;18(1):77–89.
42. Lopez G, Marquez J. User-centered design in smart health systems: the Barcelona model. Int J Med Inform. 2022;158:104658. https://doi.org/10.1016/j.ijmedinf.2022.104658
43. Pagliari C. Digital health and privacy: the ethics of connected care. BMJ Health Care Inform. 2020;27(1):e100076. https://doi.org/10.1136/bmjhci-2019-100076
44. Santos R, Pereira AM. Institutional readiness for smart healthcare adoption in urban governance. Urban Health Syst Rev. 2023;12(2):55–68.
45. Al-Emran M, Malik SI. Cost-effectiveness of smart health infrastructures: a cross-country review. Health Econ Rev. 2021;11(1):7. https://doi.org/10.1186/s13561-021-00290-9
46. D’Amore JD, Sittig DF, Ness RB. How interoperability failures impact patient safety: a review. J Am Med Inform Assoc. 2020;27(7):1133–9. https://doi.org/10.1093/jamia/ocaa033
2. Caragliu A, Del Bo C, Nijkamp P. Smart cities in the innovation age: key technologies and impacts. Cities. 2022;126:103637. https://doi.org/10.1016/j.cities.2022.103637
3. Townsend AM. Smart cities: big data, civic hackers, and the quest for a new utopia. New York: Norton & Company; 2020.
4. Thimbleby H. Technology and the future of healthcare. J Public Health Res. 2019;8(3):e127. https://doi.org/10.4081/jphr.2019.127
5. Zheng K, Abraham J, Novak LL, Reynolds TL. Integration of health informatics tools in urban healthcare: trends and opportunities. Health Inform J. 2021;27(2):1048–63. https://doi.org/10.1177/1460458221990377
6. Kumar S, Sharma R. Internet of things in healthcare: architectures and applications. Smart Cities J. 2021;4(1):45–58.
7. Fan M, Lee E, Zhang L. Wearable technology and its role in health informatics. Int J Med Inform. 2020;135:104031. https://doi.org/10.1016/j.ijmedinf.2020.104031
8. Jones C, Smith K. Predictive analytics in smart cities: impact on hospital management. J Urban Health. 2023;30(2):56–68.
9. World Health Organization. Digital health interventions for urban populations: report of global study. Geneva: WHO; 2021.
10. Bolivar MP. Transforming cities with smart health systems: lessons from Singapore and Barcelona. Urban Stud. 2022;59(7):1463–80. https://doi.org/10.1177/00420980211065877
11. van Deursen AJ, Helsper EJ. Internet skills and the vulnerability of healthcare systems in smart cities. Cybersecurity J. 2023;8(4):178–92.
12. Allam Z, Dhunny ZA. On big data, AI and smart cities: a review of key enabling technologies. Cities. 2019;89:80–91. https://doi.org/10.1016/j.cities.2019.01.032
13. Jane JA, Smith RS. IoT and the transformation of urban systems. J Urban Inf Tech. 2023;15(3):123–30.
14. Peterson D, Lopez A. Big data analytics in urban health systems: opportunities and challenges. Health Big Data Res J. 2022;9(2):45–54.
15. Fan M, Lee E, Zhang L. Wearable technology and its role in health informatics. Int J Med Inform. 2020;135:104031. https://doi.org/10.1016/j.ijmedinf.2020.104031
16. Zhang Z, Li C, Wang W. Predictive analytics for urban healthcare: applications and trends. J Health Big Data Sci. 2023;13(1):43–52.
17. Holm J, Andersen L. Copenhagen’s “Smart City Health Project”: A case study. Scand J Public Health. 2021;49(4):367–74. https://doi.org/10.1177/1403494820925055
18. Chia YY, Lee VK. Singapore’s Smart Nation initiative: implications for health monitoring systems. Asian J Smart Cities. 2022;10(1):14–25.
19. Navarro CA, Ruiz L. Barcelona’s public health monitoring system: a case study. Int J Urban Health. 2021;30(4):567–78.
20. Soler C, Garcia M. Privacy concerns in digital health monitoring: a Barcelona survey. Urban Ethics J. 2020;7(4):56–71.
21. Baxter H. Financing smart cities: costs and strategies. Urban Finance Rev. 2020;12(3):112–20.
22. Bellini P, Cenni D. IoT scalability challenges in urban health systems. Smart Cities Technol Rev. 2021;9(2):56–68.
23. Gonzalez A, Ortega R. Achieving interoperability in smart health systems: challenges and solutions. Health Technol J. 2022;12(1):77–95. https://doi.org/10.1007/s12553-021-00605-1
24. Creswell JW, Clark VLP. Designing and conducting mixed methods research. 3rd ed. Los Angeles: SAGE Publications; 2018.
25. Khan S, van den Berg A. Systematic literature reviews in urban health informatics: a methodological perspective. J Urban Health Sci. 2020;12(3):211–25.
26. Braun V, Clarke V. Using thematic analysis in health informatics research: a step-by-step guide. Qual Res Psychol. 2019;16(4):567–82. https://doi.org/10.1080/14780887.2019.1625476
27. Wiles R, Crow G, Charles V. Ethical considerations in secondary data analysis. Res Ethics Rev. 2021;17(2):99–110. https://doi.org/10.1177/1747016120930762
28. Lim CM, Tan YY. Impact of IoT-enabled health systems in Singapore’s Smart Nation program. Smart Health J. 2022;11(2):45–58.
29. Koster P, De Boer H. Amsterdam’s predictive healthcare analytics: reducing hospital congestion. Eur Health Tech J. 2023;9(1):12–22.
30. Ortega F, Navarro L. Big data analytics for seasonal influenza control: the Barcelona case study. J Urban Public Health Tech. 2020;15(1):88–99.
31. Chai WS, Koh LL. Adoption of wearable IoT devices in Singapore: a public health perspective. Asia Pac Health J. 2020;8(4):122–31.
32. Schneider M, Geertz J. IoMT adoption in European smart cities: trends and projections. Int J Med Inform. 2023;154:104765. https://doi.org/10.1016/j.ijmedinf.2021.104765
33. Nakamura K, Sato Y. Predictive health analytics during Tokyo heatwaves. J Public Health Syst. 2023;10(3):134–47.
34. Tan KK, Ong E. Singapore’s Smart Nation funding strategy: implications for healthcare. Asia Urban Dev J. 2021;16(2):23–34.
35. Soler C, Garcia M. Privacy concerns in digital health monitoring: a Barcelona survey. Urban Ethics J. 2020;7(4):56–71.
36. Rahman M, Xu X. Cost structure and financial models of smart health solutions in urban settings. Health Econ Rev. 2021;11(1):22. https://doi.org/10.1186/s13561-021-00308-2
37. Medina E, Karlsson D. Digital health literacy and technology acceptance among citizens in smart cities. J Med Internet Res. 2022;24(6):e35491. https://doi.org/10.2196/35491
38. Ferreira A, Cruz-Correia R. Citizens’ perception of digital health benefits in urban environments. Smart Cities Health J. 2023;7(1):11–24.
39. Kim JH, Park Y. Effectiveness of wearable devices for chronic disease management: a meta-analysis. Telemed J E Health. 2021;27(8):837–44. https://doi.org/10.1089/tmj.2020.0322
40. Lee J, Kim H, Chung W. Remote health monitoring in smart cities: outcomes and sustainability. Smart Cities Health Technol. 2022;5(3):233–41.
41. van Dijk J, Mulder R. Predictive analytics in hospital resource management: evidence from Amsterdam. J Health Manag. 2023;18(1):77–89.
42. Lopez G, Marquez J. User-centered design in smart health systems: the Barcelona model. Int J Med Inform. 2022;158:104658. https://doi.org/10.1016/j.ijmedinf.2022.104658
43. Pagliari C. Digital health and privacy: the ethics of connected care. BMJ Health Care Inform. 2020;27(1):e100076. https://doi.org/10.1136/bmjhci-2019-100076
44. Santos R, Pereira AM. Institutional readiness for smart healthcare adoption in urban governance. Urban Health Syst Rev. 2023;12(2):55–68.
45. Al-Emran M, Malik SI. Cost-effectiveness of smart health infrastructures: a cross-country review. Health Econ Rev. 2021;11(1):7. https://doi.org/10.1186/s13561-021-00290-9
46. D’Amore JD, Sittig DF, Ness RB. How interoperability failures impact patient safety: a review. J Am Med Inform Assoc. 2020;27(7):1133–9. https://doi.org/10.1093/jamia/ocaa033