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Health services research looks at a form of care under contextual conditions. Often, and especially in the treatment of recurrent or chronic pain, these forms of care are complex interventions. Ensuring internal validity for subsequent interpretability of the results achieved as an essential requirement for studies in health services research therefore presents researchers with the challenge that they have to develop complex study protocols and implement and monitor them in clinical care.

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Will AI reshape or deform pharmacy education?

Curr Pharm Teach Learn

December 2024

Department of Basic Sciences, College of Medicine, Sulaiman Al-Rajhi University, Al-Bukayriyah, Saudi Arabia; Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia. Electronic address:

The integration of artificial intelligence (AI) into pharmacy education offers transformative opportunities but also introduces significant challenges. This commentary explores whether AI will reshape or deform pharmacy education by analyzing its effects on personalized learning, complex concept comprehension, simulation-based clinical training, interprofessional education, and administrative efficiency. While AI-driven tools provide adaptive learning experiences, immersive visualizations, and streamlined administrative processes, concerns persist about overreliance on technology, skill atrophy, ethical and legal challenges, erosion of humanistic skills, inequities stemming from the digital divide, and faculty preparedness.

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Background: Although Interprofessional Education (IPE) is an important component of medical education, it has only recently come under consideration in Sub-Saharan Africa. IPE occurs when two or more professions learn from, about and with each other regarding effective collaboration and the improvement of health outcomes. Current academic programs focus more on traditional approaches to training physicians, pharmacists, respiratory therapists, physiotherapists and nurses like they were independent entities.

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When It Really Counts: The Art of Matching Nurse Staffing to Nurse Workload.

J Nurs Adm

January 2025

Author Affiliations: System Director for Critical Care (Dr Anderson) and Chief Nurse Executive (Dr Grimley), UCLA Health; and Assistant Dean (Dr Grimley), UCLA School of Nursing, Los Angeles, California; and Professor Emerita (Dr Miltner), University of Alabama at Birmingham School of Nursing.

Methods: The NWA was evaluated using both quantitative and qualitative methods. The American Nurses Association's Principles for Nurse Staffing provided a conceptual framework with 5 core principles: healthcare consumer, interprofessional teams, workplace culture, practice environment, and evaluation.

Results: Units met average staffing needs based on NWA 96% to 99% of the evaluation period.

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Expectations and opinions regarding the implementation of a computerized physician order entry (CPOE) system - a before-and-after survey.

Health Informatics J

December 2024

Heidelberg University, Medical Faculty Heidelberg / Heidelberg University Hospital, Internal Medicine IX - Department of Clinical Pharmacology and Pharmacoepidemiology, Cooperation Unit Clinical Pharmacy, Heidelberg, Germany.

Despite the documented beneficial effects of computerized physician order entry (CPOE) systems and despite numerous incentives for their adoption in various countries around the globe implementation teams encounter unexpected difficulties when launching CPOE systems. This survey aimed at gathering users' opinions on CPOE implementation. Additional factors that can be influenced by CPOE implementation were equally considered, namely workplace satisfaction, interprofessional collaboration, patient safety climate, system usability, and organisational readiness to implement change.

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