Abstract Internet of Things (IoT) is an ever-expanding ecosystem that integrates software,
hardware, physical objects, and computing devices to communicate, collect, and exchange …

Clinical decision-making in healthcare is already being influenced by predictions or
recommendations made by data-driven machines. Numerous machine learning applications …

This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …

Objective To review the methods and dimensions of data quality assessment in the context
of electronic health record (EHR) data reuse for research. Materials and methods A review of …

The national adoption of electronic health records (EHR) promises to make an
unprecedented amount of data available for clinical research, but the data are complex …

Background There is considerable international interest in exploiting the potential of digital
solutions to enhance the quality and safety of health care. Implementations of transformative …

Health monitoring systems have rapidly evolved during the past two decades and have the
potential to change the way health care is currently delivered. Although smart health …

With the widespread adoption of electronic health records (EHRs), large repositories of
structured and unstructured patient data are becoming available to conduct observational …

We demonstrate the importance of explicit definitions of electronic health record (EHR) data
completeness and how different conceptualizations of completeness may impact findings …