Getting the Healthcare We Want: The Use of Online "ask the Doctor" Platforms in Practice

Xianghua Ding, Xinning Gui, Xiaojuan Ma, Zhaofei Ding, Yunan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online Ask the Doctor (AtD) services allow access to health professionals anytime anywhere beyond existing patient-provider relationships. Recently, many free-market AtD platforms have emerged and been adopted by a large scale of users. However, it is still unclear how people make use of these AtD platforms in practice. In this paper, we present an interview study with 12 patients/caregivers who had experience using AtD in China, highlighting patient agency in seeking more reliable and cost-effective healthcare beyond clinic settings. Specifically, we illustrate how they make strategic choices online on AtD platforms, and how they strategically integrate online and offline services together for healthcare. This paper contributes an empirical study of the use of large-scale AtD platforms in practice, demonstrates patient agency for healthcare beyond clinic settings, and recommends design implications for online healthcare services.

Original languageEnglish (US)
Title of host publicationCHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450367080
DOIs
StatePublished - Apr 21 2020
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States
Duration: Apr 25 2020Apr 30 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
CountryUnited States
CityHonolulu
Period4/25/204/30/20

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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