Literature DB >> 11522135

Adoption of smart cards in the medical sector: the Canadian experience.

B A Auber1, G Hamel.   

Abstract

This research evaluates the factors influencing the adoption of smart cards in the medical sector (a smart card has a micro-processor containing information about the patient: identification, emergency data (allergies, blood type, etc.), vaccination, drugs used, and the general medical record). This research was conducted after a pilot study designed to evaluate the use of such smart cards. Two hundred and ninety-nine professionals, along with 7248 clients, used the smart card for a year. The targeted population included mostly elderly people, infants, and pregnant women (the most intensive users of health care services). Following this pilot study, two surveys were conducted, together with numerous interviews, to assess the factors influencing adoption of the technology. A general picture emerged. indicating that although the new card is well-perceived by individuals, tangible benefits must be available to motivate professionals and clients to adopt the technology. Results show that the fundamental dimension that needs to be assessed before massive diffusion is the relative advantage to the professional. The system must provide a direct benefit to its user. The relative advantage of the system for the professional is directly linked to the obligation for the client to use the card. The system is beneficial for the professional only if the information on the card is complete. Technical adequacy is a necessary but not sufficient condition for adoption.

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Year:  2001        PMID: 11522135     DOI: 10.1016/s0277-9536(00)00388-9

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  20 in total

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Review 2.  Diffusion of innovations in service organizations: systematic review and recommendations.

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3.  Personal health record systems and their security protection.

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4.  The medical office of the 21st century (MOXXI): effectiveness of computerized decision-making support in reducing inappropriate prescribing in primary care.

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5.  Advancing the Public's Health by Scaling Innovations in Clinical Quality.

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Journal:  Public Health Rep       Date:  2017-06-08       Impact factor: 2.792

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Journal:  Matern Child Nutr       Date:  2012-10-01       Impact factor: 3.092

7.  Determining patient preferences for remote monitoring.

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Journal:  J Med Syst       Date:  2010-10-13       Impact factor: 4.460

8.  Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review.

Authors:  Carrie Anna McGinn; Sonya Grenier; Julie Duplantie; Nicola Shaw; Claude Sicotte; Luc Mathieu; Yvan Leduc; France Légaré; Marie-Pierre Gagnon
Journal:  BMC Med       Date:  2011-04-28       Impact factor: 8.775

Review 9.  The Digital Outcome Measure.

Authors:  Adam B Cohen; Simon C Mathews
Journal:  Digit Biomark       Date:  2018-09-21

10.  Exploring the black box of quality improvement collaboratives: modelling relations between conditions, applied changes and outcomes.

Authors:  Michel L A Dückers; Peter Spreeuwenberg; Cordula Wagner; Peter P Groenewegen
Journal:  Implement Sci       Date:  2009-11-17       Impact factor: 7.327

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