Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 61-68 |
| Number of pages | 8 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 48 |
| Issue number | 4/W5-2022 |
| DOIs | |
| Publication status | Published - 14 Oct 2022 |
| Event | 7th International Conference on Smart Data and Smart Cities, SDSC 2022 - Sydney, Australia Duration: 19 Oct 2022 → 21 Oct 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- App
- Big data
- Consumer acceptance
- Healthcare
- Israel
- Smart City
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