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Developing Electronic Medical Record Based on NFC
- Source :
- Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence.
- Publication Year :
- 2017
- Publisher :
- ACM, 2017.
-
Abstract
- Internet-based electronic medical records have dependencies on the availability of internet access and server services. In most areas of the world it is a problem because the average level of internet service availability is low. Required technology that enables the exchange of data offline but still secure and at certain times the data can be synchronized with the data on the server using internet. Near Field Communication (NFC) technology enabled mobile phones to store important data with secure and reliable. The data can be sent to another phone equipped with NFC or read by NFC reader without internet. Through special applications the data can also be added, subtracted, or modified. In this research has been developed medical record system based on Near Field Communication (NFC). NFC-based electronic medical record (EMR) is expected to replace conventional medical records and improve the function of internet-based EMR. The advantage of NFC-based EMR is that it takes less time in usage, is not dependent on internet access, and the ease of delivering EMR to those in need.
- Subjects :
- 021110 strategic, defence & security studies
business.product_category
Multimedia
Computer science
business.industry
Medical record
media_common.quotation_subject
0211 other engineering and technologies
Electronic medical record
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
computer.software_genre
Near field communication
Internet service
Phone
0202 electrical engineering, electronic engineering, information engineering
Internet access
020201 artificial intelligence & image processing
The Internet
Function (engineering)
business
computer
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence
- Accession number :
- edsair.doi...........a53b4d690104e2740b98d3dfa75d1be9
- Full Text :
- https://doi.org/10.1145/3168390.3168420