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Bass Models for EHR, RIS and PACS Diffusion in Finland and Germany.
Hüsers, Jens; Esdar, Moritz; Kuhlmann, Maria; Saranto, Kaija; Jormanainen, Vesa; Hübner, Ursula.
Afiliação
  • Hüsers J; Health Informatics Research Group, University AS Osnabrück, Germany.
  • Esdar M; Health Informatics Research Group, University AS Osnabrück, Germany.
  • Kuhlmann M; Health Informatics Research Group, University AS Osnabrück, Germany.
  • Saranto K; Department of Health and Social Management, University of Eastern Finland.
  • Jormanainen V; Evaluation of Health Care and Social Welfare Service Provision, Finnish Institute for Health and Welfare, Finland.
  • Hübner U; Health Informatics Research Group, University AS Osnabrück, Germany.
Stud Health Technol Inform ; 281: 595-599, 2021 May 27.
Article em En | MEDLINE | ID: mdl-34042645
Building on Rogers' Diffusion of Innovation Theory, Bass models describe the diffusion processes distinguishing between innovation (p) and imitation (q). This study aimed at modelling the uptake of RIS, PACS and EHR systems in Germany and Finland. The Bass models revealed a quick and almost identical uptake process across all three systems for Finland. In contrast, the Bass models mirrored a slower uptake in Germany. Consequently, the Finnish "imitation" coefficients were larger than the German ones. While in Germany almost free market forces were driving the adoption through imitation but without tail wind from policy, the adoption process in Finland was centrally governed. This suggests that the diffusion process in Finland reflected a well-managed roll-out of the systems rather than imitation behaviour. Thus, in order for Bass model coefficients to be understood properly, additional contextual information is required.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Difusão de Inovações Tipo de estudo: Sysrev_observational_studies País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Difusão de Inovações Tipo de estudo: Sysrev_observational_studies País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article