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Exploratory Research in Clinical and Social Pharmacy is a peer-reviewed journal published by Elsevier, covering Pharmaceutical Practices and Patient Outcomes, Medication Adherence and Compliance, Antibiotic Use and Resistance.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Exploratory Research in Clinical and Social Pharmacy 12 (2023) 45–58.
Formats any DOI in Exploratory Research in Clinical and Social Pharmacy style. No sign-up. |
| Publishes research in | Pharmaceutical Practices and Patient Outcomes Medication Adherence and Compliance Antibiotic Use and Resistance Patient Safety and Medication Errors Pharmaceutical Economics and Policy |
| ISSN | 2667-2766 |
| Citation impact (2-yr) | 2.39 |
| h-index | 23 |
| i10-index | 117 |
| Total citations | 3,936 |
| Article processing charge | $1,800 |
| Open access | Yes |
| Top institutions publishing here | The University of Sydney |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Artificial intelligence (AI) is a transformative technology used in various industrial sectors including healthcare. In pharmacy practice, AI has the potential to significantly improve medication management and patient care. This review explores various AI applications in the field of pharmacy practice. The incorporation of AI technologies provides pharmacists with tools and systems that help them…
BACKGROUND: Resilient pharmaceutical systems and supply chains are critical in the control of COVID-19, a pandemic that has mostly devastated public health systems and livelihoods in resource-limited countries in sub-Saharan Africa. OBJECTIVE: To evaluate the impact of COVID-19 on pharmaceutical systems and supply chain in a resource-limited setting. METHODS: A descriptive qualitative survey using a…
The advent of modern technologies like Artificial Intelligence(AI), Internet of Things(IoT) and Deep Learning(DL) has ushered in a transformative era in healthcare, offering innovative solutions towards personalized healthcare by enhancing the quality of various medical services. Our proposed methodology involves the development of a BERT-based medical chatbot, leveraging cutting-edge deep learning technology to significantly enhance…
Background: 3D printing is a promising new technology for medicines' production. It employs additive manufacturing techniques, and is ideal for producing personalized medicines (e.g., patient-tailored dose, dosage form, drug release kinetics). Objective: To investigate how 3D printing technologies can be implemented in a European pharmaceutical system, by suggesting different scenarios and assessing aspects that could…
In low- and middle-income countries (LMICs), over 12 million people die yearly from chronic diseases and this number is expected to increase if concerted actions are not taken. The purpose of this paper is to highlight the roles and impact of community pharmacists in chronic disease management support and the need for policymakers in LMICs…
