Intelligent pharmacy, leveraging big data analytics, AI algorithms, and IoT devices, provides integrated intelligent solutions for medication supply, clinical pharmaceutical care, and pharmacy management. As an emerging interdisciplinary field that integrates intelligent technologies with pediatric pharmacy, intelligent pediatric pharmacy (IPP) precisely addresses the unique attributes of children—such as immature physiological development, high interindividual variability in drug response, and heightened susceptibility to adverse drug reactions—to achieve automated drug information management, precise medication process control, and personalized pharmaceutical service delivery. In recent years, this field has developed rapidly, becoming a new paradigm for enhancing pediatric pharmaceutical services. However, several prominent challenges remain: a lack of pediatric-specific intelligent models (e.g., PK/PD predictors for different age groups), insufficient standardization of intelligent dispensing and medication monitoring systems; inadequate integration of multi-source pediatric medication data (EHRs, medication histories, ADR reports); and the need for further clinical validation of intelligent tools. In addition, ethical considerations, data security, a shortage of interdisciplinary talent, and regulatory hurdles further constrain its clinical application.
Goal
This Research Topic aims to explore the impact of intelligent technologies on the innovation and development of pediatric pharmacy, focusing on the application of artificial intelligence, big data, and digital tools in pediatric drug research and development (R&D), drug management, and drug therapy. Meanwhile, it seeks to deepen the understanding of practical implementation strategies, technical bottlenecks, and feasible solutions for intelligent pediatric pharmacy, forstering the in-depth integration of intelligent technologies with conventional pediatric pharmaceutical services to ultimately optimize children's clinical outcomes and medication safety in pediatric populations.
Scope and Information for Authors
To assist the academic community in advancing the field of intelligent pediatric pharmacy, we welcome original research, protocols, case reports, and reviews addressing, but not limited to, the following themes:
● Intelligent technologies in pediatric drug R&D and clinical research. ● Smart drug supply chains, pharmacy administration, and automated prescription/order review. ● AI-driven pharmacovigilance, therapeutic drug monitoring (TDM), pharmacogenetics, and medication therapy management (MTM). ● Telepharmacy services and digital health education for pediatric patients/caregivers. ● Workforce development , standardization advancement, regulatory frameworks , and multi-source data structure integration in pediatric pharmacy.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Methods
Mini Review
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: Intelligent Pediatric Pharmacy (IPP), Artificial Intelligence (AI), Medication Safety, Personalized Pharmaceutical Care, Big Data Analytics
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
