AI arrogance and ignorance The current system means that the risk for sharing one’s data is high, with little personal gain. Despite the fact these risks are real to the institution, the failure to disclose data does not eliminate the risk; it merely transfers the risk from the institution to the patients being treated based on the research. Thus, those

Discussion The purpose of this study was to assess willingness of patients with DM to use mobile health applications and associated factors for self-care management. The result showed that willingness to use mHealth applications among patients with DM in the Oromia region was high (71.4%, 95% CI (66.8% to 75.9%)). This result was in line with the willingness to use mHealth

Introduction Over the past decades, a variety of eHealth technologies have been accessible as nations have implemented eHealth efforts to support the objectives for health education and person-centred care.1 Adoption of personal health records (PHRs) has been linked to numerous advantages, including improved patient–provider relationships, patient engagement improvements, better medication adherence, good health outcomes (such as blood pressure and glycaemic

Results Table 1 summarises the hospital facility value and functional focus of each of the eight use cases reported. Table 1 View inline•Open as popup Use cases of IAM technology deployed in hospital COVID-19 response by value and functional focus SSO enabled clinicians to attest being symptom free at shift start During an outbreak of a highly transmissible pathogen such

Discussion Systematic safety assessment of AI-based clinical decision support systems is poorly codified, especially in applications where the definition of effective and safe decisions is challenging. In this study, we applied best practice in safety assurance to a complex AI system and proposed a safety-driven approach to identify regions of the action space potentially associated with preventable harm. We showed