Literature DB >> 22221955

Exploration of the e-patient phenomenon in nursing informatics.

Perry M Gee1, Deborah A Greenwood, Katherine K Kim, Susan L Perez, Nancy Staggers, Holli A DeVon.   

Abstract

The availability of health information on the Internet has equalized opportunities for knowledge between patients and their health care providers, creating a new phenomenon called the e-patient. E-patients use technology to actively participate in their health care and assume higher levels of responsibility for their own health and wellness. This phenomenon has implications for nursing informatics research related to e-patients and potential collaboration with practitioners in developing a collective wisdom. Nursing informatics can use the data, information, knowledge, and wisdom (DIKW) framework to understand how e-patients and clinicians may achieve this collective wisdom. Nurse informaticists can use constructivism and Gadamerian hermeneutics to bridge each stage of this framework to illustrate the fundamentals of patient and clinician interactions and commonality of language to achieve a collective wisdom. Examining the e-patient phenomenon will help nurse informaticists evaluate, design, develop, and determine the effectiveness of information systems used by e-patients. The Internet can facilitate a partnership between the patient and clinician and cultivate a collective wisdom, enhanced by collaboration between nurse informatics and e-patients.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22221955     DOI: 10.1016/j.outlook.2011.11.005

Source DB:  PubMed          Journal:  Nurs Outlook        ISSN: 0029-6554            Impact factor:   3.250


  3 in total

1.  Patient-Driven Diabetes Technologies: Sentiment and Personas of the #WeAreNotWaiting and #OpenAPS Movements.

Authors:  Michelle L Litchman; Heather R Walker; Caroline Fitzgerald; Mariana Gomez Hoyos; Dana Lewis; Perry M Gee
Journal:  J Diabetes Sci Technol       Date:  2020-07-04

2.  The eHealth Enhanced Chronic Care Model: a theory derivation approach.

Authors:  Perry M Gee; Deborah A Greenwood; Debora A Paterniti; Deborah Ward; Lisa M Soederberg Miller
Journal:  J Med Internet Res       Date:  2015-04-01       Impact factor: 5.428

3.  Increasing the Capacity of Primary Care Through Enabling Technology.

Authors:  Heather M Young; Thomas S Nesbitt
Journal:  J Gen Intern Med       Date:  2017-02-27       Impact factor: 5.128

  3 in total

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