Clinical Researcher

Preventive antimicrobials are a promising solution to the antibiotic resistance problem, driven in part by recent advances in cell engineering technology and the important safety advantages of biologic drugs over their small-molecule cousins. However, not all of the barriers to wider adoption are scientific or biological—this novel therapeutic modality has important clinical, regulatory, and patient recruitment implications.

Barriers such as the sparsity of clinical trial sites in rural and underserved communities, inadequate patient reimbursement, and stringent inclusion/exclusion criteria hinder the enrollment of patients from diverse and underrepresented populations. This article outlines strategies for addressing some of the issues facing diversity enrollment, and is intended to stimulate conversation within the industry to ensure these barriers are addressed during the design and implementation of clinical trials.

Identifying what simulation can achieve for educational and research objectives that other modalities cannot achieve is essential. This review discusses whether simulation can be used to teach the research process, keeping in mind that the value of simulation can’t be determined by randomized trials alone. A qualitative approach to assessing the value of teaching research via simulation adds a well-rounded perspective.

Recently, there has been a shift from qualitative assessments of drug safety toward a more quantitative approach. A quantitative framework is a method for arranging numerical data in a standardized format to assist in the decision-making process. Formalized evaluation of benefit and risk of harm is referred to as the benefit-risk framework (BRF), and has been structured in a variety of different ways. The lack of wide acceptance of a particular BRF underscores the significant challenges.

Legacy technologies are no longer fit-for-purpose, and we must follow the lead of other sectors like manufacturing and consumer packaged goods in adopting generative artificial intelligence and other technology and data advancements to support pain points around patient experience, data integrity, quality, and the supply chain.