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Research on the doctors' win in crowdsourcing competitions: perspectives on service content and competitive environment.
Zhou, Xiuxiu; Guo, Shanshan; Wu, Hong.
  • Zhou X; Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.
  • Guo S; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
  • Wu H; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. hongwu@hust.edu.cn.
BMC Med Inform Decis Mak ; 23(1): 204, 2023 10 05.
Article en En | MEDLINE | ID: mdl-37798708
ABSTRACT
Medical crowdsourcing competitions can help patients get more efficient and comprehensive treatment advice than "one-to-one" service, and doctors should be encouraged to actively participate. In the crowdsourcing competitions, winning the crowdsourcing competition is the driving force for doctors to continue to participate in the service. Therefore, how to improve the winning probability needs to be revealed. From the service content and competitive environment perspectives, this study introduces doctor competence indicators to investigate the key influence factors of doctors' wins on the online platform. The results show that the emotional interaction in doctors' service content positively influences doctors' wins. However, the influence of information interaction presents heterogeneity. Conclusive information helps doctors win, while suggestive information negatively affects them. For the competitive environment, the competitive environment negatively moderates the relationship between doctors' service content and doctors' wins. The results of this study provide important contributions to the research on crowdsourcing competitions and online healthcare services and guide the participants of the competition, including patients, doctors, and platforms.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Médicos / Colaboración de las Masas Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Médicos / Colaboración de las Masas Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article