Patients use various sources to obtain information on pharmaceutical drugs they take. Mobile health care applications (apps) providing drug information to users are increasingly made available and of in-creasing importance for the health care domain. However, apps usually only offer...

The health care domain is undergoing a sweeping shift from a model of paternalism towards increased patient-centered care. Vendors offering patient-centered health IT use incentive mechanisms to motivate the continued use of health IT. However, incentive mechanisms may not always be beneficial...

Background: Patients' failure to take medication as prescribed – poor medication adherence – is a well-known issue. Health information technology (IT) presents itself as a promising approach to tackle poor medication adherence.Objectives: To deepen the understanding of what features health...

Blockchain is a decentralized digital ledger that challenges existing business models and theories by shifting the trust from institutions towards algorithms. However, the number of successfully developed blockchain-based systems remains low. This points towards a research gap between blockchain...

Distributed ledger technology (DLT), including blockchain, enables secure processing of transactions between untrustworthy parties in a decentralized system. However, DLT is available in different designs that exhibit diverse characteristics. Moreover, DLT characteristics have complementary and...

Nowadays, information and communication technology (ICT) has become a key driver for future health-enabling and ambient assisted living technologies. These future health-enabling living environments proactively anticipate the inhabitants' needs and adapt their behaviour accordingly. They further...

Online behavioral advertising, on websites and in online applications, requires companies to make intricate trade-offs between promises of increased revenue and potential risks for alienation of consumers. To guide companies in making such trade-offs, we answer the research question: How do...

One barrier to more widespread adoption of differentially private neural networks is the entailed accuracy loss. To address this issue, the relationship between neural network architectures and model accuracy under differential privacy constraints needs to be better understood. As a first step,...