NFC-based Electronic Data Capture Systems : The Case of a Quality of Life Questionnaire
Type
conference paper
Date Issued
2012-09-02
Author(s)
Abstract
In this paper, we present a Near Field Communication (NFC)-based electronic data capture prototype for patient self-reported rating scales. Such scales are valuable feedback for medical treatment and care processes. As traditional paper-based questionnaires are time- and cost-consuming and may be affected by low patient compliance, our prototype allows patient monitoring and electronic data acquisition directly from the patient's home. It enables real time representation and analysis of patient data and thus allows direct medical intervention by physicians. In developing the prototype, we followed a design science approach, developed design goals for the special case of patients suffering from impaired motor skills, and tested the prototype in a field study over the course of twelve weeks. We chose NFC, as the interaction paradigm is intuitive and quickly learned, without prior knowledge being necessary. Our results indicate that NFC is almost as simple as to fill out a paper-based questionnaire. During the study patients used the prototype autonomously and with minimal errors. Further, NFC technology was perceived as very intuitive and the information quality of each patient's health status could be improved. Based on the findings we derive recommendations for future research and applications of NFC based electronic data capture systems.
Language
English
Keywords
Electronic Data Capture
NFC
Information Quality
Design Science.
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of the 20th European Conference on Information Systems (ECIS 2012)
Publisher
Association for Information Systems
Publisher place
AIS Electronic Library (AISeL)
Volume
Paper 146
Event Title
20th European Conference on Information Systems (ECIS) 2012
Event Location
Barcelona, Spain
Event Date
11.-13.06.2012
Official URL
Subject(s)
Division(s)
Eprints ID
219837
File(s)![Thumbnail Image]()
Name
JML_332.pdf
Size
886.11 KB
Format
Adobe PDF
Checksum (MD5)
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