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New therapeutics and health technologies require fresh approaches to demonstrating safety and efficacy.
This collection will bring together key stakeholders to discuss how evidence-based medicine should evolve to assess these technological advances, from gene editing to artificial intelligence health algorithms.
We are launching a series on evidence in medicine, to discuss new approaches to assessing the safety and efficacy of cutting-edge health technologies and treatments.
Data sharing enhances the value of medical research and builds trust in clinical trials, but more biomedical researchers need to be trained in these approaches, which include meta-research, data science and ethical, legal and social issues.
The expansion of digital health comes with benefits, but also potential harms, including those to economic, psychological and societal wellbeing. This article presents a framework to characterize cyber harms so that they can be prevented and mitigated.
Mobile diagnostics and point-of-care tests can improve patient outcomes by allowing remote monitoring during routine clinical care and in digital clinical trials.
Multilevel stakeholder engagement in policy decision-making and implementation-planning is needed to build trust and deliver evidence-based health interventions.
AstraZeneca has introduced digital health solutions into clinical trials, demonstrating improved patient experience, accelerated timelines and reduced costs.
Systematic reviews and meta-analyses are used by clinicians and policymakers to synthesize medical evidence, but they can amplify falsified or poor-quality clinical trial data. In this era of contested evidence, new approaches are needed.
Technological advances are transforming evidence generation in medicine; for these advances to impact public health, the clinical trial landscape must evolve and adapt to keep pace.
This Perspective outlines practical considerations for designing and testing visual displays to communicate health information, using illustrative case examples.