Therapeutic drug monitoring (TDM) is the quantification and interpretation of drug
concentrations in blood to optimize pharmacotherapy. It considers the interindividual …

Modern electronic health records (EHRs) provide data to answer clinically meaningful
questions. The growing data in EHRs makes healthcare ripe for the use of machine learning …

This book describes in detail the various teaching strategies and assessment methods used
in pharmacy education. Included in the text is both the advantages and disadvantages of …

Narrative medicine is a fresh discipline of health care that helps patients and health
professionals to tell and listen to the complex and unique stories of illness. The Principles …

Background Effective management of hospital staff time is crucial to quality patient care.
Recent years have seen widespread implementation of electronic health record (EHR) …

Electronic performance monitoring (EPM) refers to the use of technological means to
observe, record, and analyze information that directly or indirectly relates to job …

Human factors systems approaches are critical for improving healthcare quality and patient
safety. The SEIPS (Systems Engineering Initiative for Patient Safety) model of work system …

Rationale and Objectives To examine the effect of changes in utilization and advances in
cross-sectional imaging on radiologists' workload. Materials and Methods All computed …

Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in computer
science that is rapidly gaining popularity within the healthcare sector. Recent regulatory …

Therapeutic drug monitoring (TDM), ie, the quantification of serum or plasma concentrations
of medications for dose optimization, has proven a valuable tool for the patient-matched …