Background Accelerated by the coronavirus disease 2019 (Covid-19) pandemic, major and lasting changes are occuring in healthcare structures, impacting people's experiences and value creation in all aspects of their lives. Information systems (IS) research can support analysing and anticipating resulting effects. Aim The purpose of this study is to examine in what areas health information systems (HIS) researchers can assess changes in healthcare structures and, thus, be prepared to shape future developments. Method A hermeneutic framework is applied to conduct a literature review and to identify the contributions that IS research makes in analysing and advancing the healthcare industry. Results We draw an complexity theory by borrowing the concept of 'zooming-in and out', which provides us with a overview of the current, broad body of research in the HIS field. As a result of analysing almost 500 papers, we discovered various shortcomings of current HIS research. Contribution We derive future pathways and develop a research agenda that realigns IS research with the transformation of the healthcare industry already under way.

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Blockchain technology is often proposed as an infrastructure for decentralized Know-Your-Customer (KYC) verification, i.e., a process determining whether a customer is eligible for a given transaction. The benefit of using blockchain technology lies in the expected compliance costs reduction for companies by automatically enforcing KYC-requirements, whose results are accessible by multiple financial institutions. While information systems researchers have proposed conceptual models and prototypes of blockchain-based KYC-systems, they do not yet consider severe penalties that are applicable to companies if KYC-requirements are not met. Hence, if the legal requirements for KYC-processes cannot be met, these systems are not applicable. The paper uses an objective-centered design science research approach to develop a blockchain-based KYC-system for the conduct of ICOs that is compliant-by-design. To this end, the authors first identify existing KYC-requirements and define corresponding system design objectives that are used to develop a KYC-system that automatically enforces KYC-regulations, thereby preventing money laundering and other forms of identity fraud. Second, the authors contribute to the literature by providing a blueprint for compliant-by-design blockchain-based KYC-systems, in the paper, integrated into the investment flow of an ICO. Third, the authors propose a KYC-system that is applicable in the real world, by making – due to legal certainty – KYC-processes cost-effective, i.e., the proposed blockchain-based KYC-system expectably reduces compliance costs for customers and financial organizations.

The ongoing digital transformation and internationalization of business processes cause a shift towards a more collaborative nature of processes. In such collaborations, different organizations execute separate parts of the process autonomously. This fragmentation leads to uncertainty regarding the correct execution of activities, the proper workflow, and data in the process flow. If organizations engage in business together, trust is needed. Therefore, we propose Trust Mining as an analytical approach to better understand uncertainties and the potential trust issues that arise from them. Trust Mining takes a business process model as an input and analyzes uncertainties and relationships. In the end, an evaluation regarding the trust requirements of specific stakeholders is given. Furthermore, we present a prototypical implementation and illustrate how Trust Mining can be used in trust-aware process (re-)design.

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Decentralized identity management systems (IMSs) are envisaged to decrease fraud, enhance users' privacy and introduce transparency to the rather opaque business with personal data. Given these quite desirable features it is not surprising that many whitepapers discuss the technical feasibility of decentralized IMSs. What is missing, however, is the consideration of actual user requirements and their assessment of the decentralized IMS's ability to actually protect their privacy. We provide insights on the perceived usability of decentralized IMS features as well as on user concerns and requirements. The result of this study is a trigger for further and iterative usability testing that takes up the insights provided by this study. The result suggests that the usability of decentralized IMSs is not as straightforward as presumed by many companies and that a good deal of work is necessary to identify and implement actual user requirements into a functioning prototype.