Readership
Artificial Intelligence Engineer, Artificial Intelligence Researcher, Bioinformaticians, Bioinformaticists, Clinicians, Data Scientists, Health Scientists, Health Service Researchers, Oncologists, Physicians - Medicine, Technologists
Scope
ESMO Real-World Data and Digital Oncology is the European Society for Medical Oncology's latest peer-reviewed open access journal. It is dedicated to publishing high-quality data science and educational content on the transformation of oncology care with real-world evidence and digital technologies that physicians can trust and understand.
The journal will publish innovative research that provides actionable insights from real-world data sources and digital devices, such as generalizable observational and health services research, clinical informatics solutions, algorithm-powered diagnostics, and decision support systems and direct-to-patient mobile applications.
Main focuses of interest include: disease characterization, rare and under-represented populations in clinical trials, head-to-head comparative effectiveness, unmet needs and gaps in access or care delivery, resource utilization and heath economics, post-marketing treatment optimization and tolerability and patients' outcomes and preferences. In addition, studies that evaluate the net benefit of incorporating artificial intelligence applications in clinical practice, or explore how the human aspect of medicine, relations between patient and physician, may be affected by the increasing use of technology in routine practice.