Publications by authors named "T S van Kempen"

Background: Effective pharmacotherapy requires strong collaboration between physicians and pharmacists, highlighting the need for interprofessional education (IPE) in university curricula. This study evaluated the impact of an IPE program on medical and pharmacy students, focusing on their perceived development of interprofessional collaborative competencies, perceived learning outcomes, and clinical collaboration perceptions.

Methods: A mixed-method approach was employed to evaluate an IPE program that consisted of three mandatory activities with increased complexity and autonomy, that were integrated into the medical and pharmacy students' curricula.

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Hydrophobic interaction chromatography (HIC) is commonly used to determine the drug-to-antibody ratio (DAR) and drug load distribution of antibody-drug conjugates (ADCs). However, identifying various DAR species separated by HIC is challenging due to the traditional use of mobile phases that are incompatible with mass spectrometry (MS). Existing approaches used to couple HIC with MS often encounter issues, such as complex instrumentation, compromised separation efficiency, and reduced MS sensitivity.

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Background: Pharmacist prescribing legislation aims to enhance healthcare quality and accessibility. However, in many countries, like the Netherlands, it has not yet been legally established.

Aim: To investigate pharmacists' perspectives on potential pharmacist prescribing in the Netherlands.

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Background: The hospital discharge process poses significant safety risks for older patients due to complexities in communication and coordination among stakeholders, leading to potential drug-related problems post-discharge. Adopting a person-centred care (PCC) approach in medication communication by healthcare professionals (HCPs) is crucial to ensure positive health outcomes. This study aimed to explore the practice of PCC in medication communication between older patients and HCPs during the hospital discharge process.

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Article Synopsis
  • Resistive Random Access Memory (RRAM) is being researched for its benefits in energy efficiency and non-volatility, but designing effective systems is complex and time-consuming for material and device scientists.
  • There's a need for a user-friendly modeling framework that helps researchers evaluate device performance early in the design process, focusing on speed, accuracy, and adaptability.
  • This paper presents a digital twin (DT)-like framework that generates RRAM device models from measurement data, includes peripheral circuits for better evaluations, and demonstrates its effectiveness in applications like neural network processing of ECG data and Fault Aware Training.
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