A proposed data-driven health-care monitoring system using near field communication

Joseph T. Catanio and Nathan Neil

Management in Healthcare: A Peer-Reviewed Journal, 2018, vol. 3, issue 1, 53-62

Abstract: Caregivers and healthcare professionals need better methods to provide data-driven treatment options. One way to accomplish this is to create a data-driven health-care monitoring system to collect data in a timelier and more efficient manner. The data can then be analysed and utilised to create a more focused treatment plan. Our research study proposes a data-driven health-care monitoring system using near field communication (NFC)-enabled devices to collect data and transmit it to a secure location; the data are then analysed and used by a healthcare professional to maintain or modify a patient’s treatment plan. Specifically, we envision the use of this technology to monitor activities performed by autism patients. The results of this research should help determine whether the improved method of data collection affords a healthcare professional the opportunity to better assign activities that can boost the cognitive ability of the patient on the autism spectrum. Researchers also believe that this method of data collection increases accuracy, which will ultimately increase the quality of patient care and therapy.

Keywords: data-driven treatment; near field communication; health-care monitoring system (search for similar items in EconPapers)
JEL-codes: I1 I10 (search for similar items in EconPapers)
Date: 2018
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