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人口老龄化中的技术健康干预:助力人们更高效而非更辛苦地工作——定性研究

Technological Health Intervention in Population Aging to Assist People to Work Smarter not Harder: Qualitative Study.

作者信息

Chen Sonia Chien-I

机构信息

Connected Health Innovation Centre, Department of Leadership and Management, Ulster University, Newtownabbey, United Kingdom.

Ministry of Science and Technology, Taipei, Taiwan.

出版信息

J Med Internet Res. 2018 Jan 4;20(1):e3. doi: 10.2196/jmir.8977.

Abstract

BACKGROUND

Technology-based health care has been promoted as an effective tool to enable clinicians to work smarter. However, some health stakeholders believe technology will compel users to work harder by creating extra work.

OBJECTIVE

The objective of this study was to investigate how and why electronic health (eHealth) has been applied in Taiwan and to suggest implications that may inspire other countries facing similar challenges.

METHODS

A qualitative methodology was adopted to obtain insightful inputs from deeper probing. Taiwan was selected as a typical case study, given its aging population, advanced technology, and comprehensive health care system. This study investigated 38 stakeholders in the health care ecosystem through in-depth interviews and focus groups, which provides an open, flexible, and enlightening way to study complex, dynamic, and interactive situations through informal conversation or a more structured, directed discussion.

RESULTS

First, respondents indicated that the use of technology can enable seamless patient care and clinical benefits such as flexibility in time management. Second, the results suggested that a leader's vision, authority, and management skills might influence success in health care innovation. Finally, the results implied that both internal and external organizational governance are highly relevant for implementing technology-based innovation in health care.

CONCLUSIONS

This study provided Taiwanese perspectives on how to intelligently use technology to benefit health care and debated the perception that technology prevents human interaction between clinicians and patients.

摘要

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81a8/5773817/1a6f1d8792b6/jmir_v20i1e3_fig1.jpg

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