IT Adoption, Diffusion, and Evaluation in Healthcare

Permanent URI for this collection

Browse

Recent Submissions

Now showing 1 - 5 of 10
  • Item
    Where to Start with AI?—Identifying and Prioritizing Use Cases for Health Insurance
    ( 2022-01-04) Weber, Michael ; Limmer, Nicolas ; Weking, Jörg
    Artificial Intelligence (AI) arguably represents a key technology for the digitalization of health care. Specifically, health insurers can benefit from AI as they typically have access to vast amounts of data. However, practitioners struggle to adopt AI in productive use, and extant research lacks an overview of use cases for AI in health insurance as well as prioritization criteria that can guide their implementation. To address this gap, we conduct explorative interviews in the context of the German statutory health insurance system. We identify AI use cases in the areas of predictive health, individualized service, anomaly detection, and operations enhancement. We find that health insurers are likely to prioritize these use cases according to implementation complexity and business orientation, whereas focusing on simple use cases that target cost savings is recommended by experts. Our study advances the understanding of AI adoption in health insurance and supports practitioners in guiding future AI initiatives.
  • Item
    Trust Recipes for Enhancing the Intention to Adopt Conversational Agents for Disease Diagnosis: An fsQCA Approach
    ( 2022-01-04) Anton, Eduard ; Oesterreich, Thuy Duong ; Fitte, Christian ; Teuteberg, Frank
    In this study, we examine the configurations of trust-enhancing factors that determine the intention to adopt conversational agents (CAs) for disease diagnosis. After identifying trust factors influencing the behavioral intent to adopt CAs based on the information systems acceptance research field, we assigned 201 participants to use the mobile Ada application and surveyed them about their experience. Ada is a medical diagnostic CA that combines patients’ symptoms with their medical history and provides diagnostic suggestions. The collected data was analyzed using a fuzzy set qualitative comparative analysis to capture the causal complexity of trust. We identified several configurations of trust-enhancing factors affecting the intention to adopt the CA. In particular, our results show that the adoption intentions are strongly determined by trust factors associated with the performance dimension. Furthermore, we derived two propositions for the development of CAs for healthcare purposes and elaborated implications for research and practice.
  • Item
    Predicting Medical Students’ Intention to Integrate Digital Health into their Medical Practice: A Pre- and Post-COVID-19 Survey in Canada
    ( 2022-01-04) Pare, Guy ; Raymond, Louis ; Pomey, Marie-Pascale ; Gregoire, Genevieve
    In recent years, many stakeholders have advocated digital health (dHealth) as a promising avenue to reduce inefficiencies, increase the accessibility and quality of care, and manage infectious diseases. In this context, an emerging issue for researchers and practitioners lies in the dHealth education and training that must be provided to medical students to prepare them to make effective use of dHealth technologies, and of artificial intelligence (AI) in particular, in their future medical practice. In addressing this issue, this paper aims to validate a theoretical model that hypothesizes relationships between medical students’ individual background, experimentation with dHealth, perceived dHealth education needs, and openness to AI-related innovations. To do so, a two-phased survey study of Canadian medical students was realized. Results confirming all but one of the research hypotheses thus constitute a valid basis for prediction and prescription with regard to the students’ integration of dHealth into their medical practice.
  • Item
    Investigating the impact of social support embedded in online consultation on physicians’ online reputation: The moderating role of media capabilities
    ( 2022-01-04) Wang, Wei ; Liu, Libo
    The importance of physicians’ online reputation (POR) has been recognized in the healthcare consultation process. However, few studies provide physicians with practical advice that help them improve their online reputation. Drawing on the taxonomy of social support and media synchronicity theory, this study proposes a theoretical model to study the relationship between physicians’ computer-mediated social support (CMSS) and POR, and the moderating effect of media capabilities on above relationships. This study collects online consultation records from a leading Chinese online consultation platform and employs the long short-term memory (LSTM) model to extract measurements of two types of CMSS. Our finding suggests that physicians’ action-facilitating support and nurturant support have significant positive impacts on POR. Furthermore, physicians’ communication frequency and communication depth strengthen the relationship between physicians’ action-facilitating support and POR. Readability strengthens the relationship between social support and POR. This study provides implications on how physicians can improve their online reputation.
  • Item
    Influence of Personality Traits on the Continued Use of Fitness Apps
    ( 2022-01-04) Alshawmar, Moayad ; Tulu, Bengisu ; Hall-Phillips, Adrienne
    While fitness apps show promise to improve people’s health and well-being, studies have indicated a high dropout rate among their users. This study uses the expectation confirmation model (ECM) to examine post-adoption factors affecting continued use or dropout among users of fitness apps, with a specific focus on the impact of users’ personality traits (the “big five” traits) on the ECM model variables. We present our theoretical model and the results of our survey with 129 participants. We confirm that satisfaction, perceived usefulness, and confirmation of expectations resulting from use of fitness apps influence the continued use of the apps. Moreover, we show that conscientiousness and neuroticism, as traits, positively influence perceived usefulness. This study increases our understanding of the factors impacting continued use of fitness apps