IS in Healthcare
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Paper Number
2040
Paper Type
Completed
Description
As digital technologies are increasingly important in healthcare, it is important to determine whether and why potential users intend to use such health information systems (HIS). Several theories exist however mainly focusing on either healthcare or information systems aspects next to general psychological theories. We develop an Integrated Theoretical Model allowing to analyze the duality of adaptive and maladaptive appraisals and their influence on the intention to use HIS. We apply the Integrated Theoretical Model to the important domain of AI-based HIS for surgeries in order to gather empirical support. The results show that the model can be applied successfully and provide important insights which factors are relevant depending on the novelty of the AI-based HIS. We contribute to information systems literature by highlighting the importance to integrate aspects regarding disease and technology in a joint model. Practitioners can use the instrument to identify the most promising reasons for adoption.
Recommended Citation
Gesk, Tanja Sophie; Wichmann, Johannes; and Leyer, Michael, "Health Information Systems: Potential Users balancing Adaptive and Maladaptive Appraisals" (2021). ICIS 2021 Proceedings. 16.
https://aisel.aisnet.org/icis2021/is_health/is_health/16
Health Information Systems: Potential Users balancing Adaptive and Maladaptive Appraisals
As digital technologies are increasingly important in healthcare, it is important to determine whether and why potential users intend to use such health information systems (HIS). Several theories exist however mainly focusing on either healthcare or information systems aspects next to general psychological theories. We develop an Integrated Theoretical Model allowing to analyze the duality of adaptive and maladaptive appraisals and their influence on the intention to use HIS. We apply the Integrated Theoretical Model to the important domain of AI-based HIS for surgeries in order to gather empirical support. The results show that the model can be applied successfully and provide important insights which factors are relevant depending on the novelty of the AI-based HIS. We contribute to information systems literature by highlighting the importance to integrate aspects regarding disease and technology in a joint model. Practitioners can use the instrument to identify the most promising reasons for adoption.
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