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Editorial
. 2019 Nov 8;9(4):181.
doi: 10.3390/diagnostics9040181.

Integration of Mobile Devices and Point-Of-Care Diagnostic Devices-The Case of C-Reactive Protein Diagnosis

Xin-Fang Wu  1 , Ching-Fen Shen  2 , Chao-Min Cheng  1
Affiliations
Editorial

Integration of Mobile Devices and Point-Of-Care Diagnostic Devices-The Case of C-Reactive Protein Diagnosis

Xin-Fang Wu et al. Diagnostics (Basel). .

Abstract

In recent years, the misuse and overuse of antibiotics has promoted antibiotic resistance, which has now become a global public health concern [...].

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Schematic of the integration of point-of-care diagnostic tools and mobile devices. This figure presents the conceptual view of the clinical data flow of the point-of-care diagnostic tools and mobile devices in case of the C-reactive protein diagnosis that we have approached. Once the users place a drop of whole blood onto the diagnostic device, the whole blood would flow through the three channels. The users then could use the mobile application (APP) we have developed to take a picture of the diagnostic device with the final diagnostic result. The mobile application could help users both record and analyze the length difference of the diagnostic device, automatically compare with the guideline, tell the users the result and store the result in the cloud storage through the internet. In the cloud, the diagnostic result could be shared with the clinicians, enabling the clinicians to immediately gain insights about the patient situations without the patients needing to be near or even in the hospital.
See this image and copyright information in PMC

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