Background Increasing digitalization in the medical domain gives rise to large amounts of
health care data, which has the potential to expand clinical knowledge and transform patient …

Background Real-world data (RWD) and real-world evidence (RWE) are playing
increasingly important roles in clinical research and health care decision-making. To …

Background: The harmonization and standardization of digital medical information for
research purposes is a challenging and ongoing collaborative effort. Current research data …

Background In a multisite clinical research collaboration, institutions may or may not use the
same common data model (CDM) to store clinical data. To overcome this challenge, we …

Background: There is wide recognition that the lack of health data interoperability has
significant impacts. Traditionally, health data standards are complex and test-driven …

Electronic health records (EHRs) have been successfully used in data science and machine
learning projects. However, most of these data are collected for clinical use rather than for …

Background: Modern data-driven medical research provides new insights into the
development and course of diseases and enables novel methods of clinical decision …

Background In the era of big data, the intensive care unit (ICU) is likely to benefit from real-
time computer analysis and modeling based on close patient monitoring and electronic …

Background: With the advent of the digital economy and the aging population, the demand
for diversified health care services and innovative care delivery models has been …

Background: Clinical trial registries increase transparency in medical research by making
information and results of planned, ongoing, and completed studies publicly available …