Resum
Data-driven technologies are being greatly adopted in healthcare in order to create a better ecosystem of health for citizens in the development of smart cities. As we develop smart devices and services, there are growing concerns in the population's perception around privacy concerns in using these devices and services, and the necessity to share their medical sensitive information is often perceived as a holdback. The following study goal is to develop a model to better understand the conditions affecting privacy concerns in medical devices and services. Using primary research to test the suggested model using secondary research methods, and data analysis tools using python program with pandas library and ANOVA statistics. The solution proposed can offer a methodology for building health services in smarter and more connected cities.
| Idioma original | Anglès |
|---|---|
| Pàgines (de-a) | 61-68 |
| Nombre de pàgines | 8 |
| Revista | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volum | 48 |
| Número | 4/W5-2022 |
| DOIs | |
| Estat de la publicació | Publicada - 14 d’oct. 2022 |
| Esdeveniment | 7th International Conference on Smart Data and Smart Cities, SDSC 2022 - Sydney, Australia Durada: 19 d’oct. 2022 → 21 d’oct. 2022 |
SDG de les Nacions Unides
Aquest resultat contribueix als següents objectius de desenvolupament sostenible.
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ODS 11 Ciutats i comunitats sostenibles
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