BMC Health Services Research is calling for submissions to our Collection on Patients' knowledge of the indications for their medications.

Understanding the indications for prescribed medications is crucial for patient safety and effective healthcare delivery. Many patients lack adequate knowledge about their medications, which can lead to non-adherence, adverse drug reactions, and suboptimal health outcomes. This Collection invites research that examines the extent of patients' medication knowledge, the factors influencing their understanding, and the implications for healthcare practice. By exploring these aspects, we aim to illuminate the gaps in medication literacy and the importance of patient engagement in their treatment regimens.

Enhancing patients' knowledge of their medications is vital for fostering informed decision-making and promoting adherence to treatment plans. Recent advances in medication counseling, patient education programs, and digital health technologies have shown promise in improving medication awareness. These interventions not only empower patients but also support healthcare providers in delivering personalized care. By fostering a culture of medication literacy, healthcare systems can enhance patient outcomes and reduce the burden of medication-related issues.

Topics for submission:

Assessing medication literacy in diverse populations

Barriers and facilitators to understanding medication indications

Impact of patient education and other related interventions on medication adherence

Tools, interventions and strategies for enhancing patient medication knowledge

Understand how, why for whom and under what circumstances interventions to enhance medication knowledge work or not

This Collection supports and amplifies research related to SDG 3 (Good Health and Well-being).

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

BMC Health Services Research invites submissions on how health workforce professionals interact with, adopt, and shape the implementation of digital health technologies, artificial intelligence (AI), and modern electronic health record (EHR) systems. Whether these technologies deliver value depends not only on the technical specifications but also on how they are implemented, governed, evaluated, and continuously refined within the organizations and workforces in which they operate. Health systems worldwide are committing to technology portfolios at a pace that consistently outstrips the evidence base needed to guide them, leaving technology program leaders without the knowledge they need to make sound investment and deployment decisions. We particularly welcome work that bridges implementation science, clinical informatics, and health services research to generate evidence actionable for health systems managing growing technology portfolios.

Topics of interest include, but are not limited to:

• Adoption and sustained use: digital literacy, training, and effective human–AI collaboration
• Front-line feedback as a signal for monitoring and improving technology performance
• Case studies of AI tools (clinical systems, ambient documentation, EHRs, decision support) with focus on long-term value and sustainment
• Governance, evaluation frameworks, and learning health system models for continuous assessment
• Impacts on care quality, clinician well-being, efficiency, and costs, including unintended effects (e.g., workflow disruption, alert fatigue)
• Ethical, equity, and policy considerations, including evolving AI governance
• Innovative measurement using EHR logs, administrative data, and observational methods
• Development of standardized evaluation frameworks applicable across technologies and settings

We welcome submissions across all article types accepted by BMC Health Services Research, including research articles, systematic reviews, study protocols, database and software articles.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.