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FDA Poised to Make Impact on Underrepresented Populations in Clinical Studies

H1 Blog

The recent draft by the FDA introduces additional guidelines for Diversity Action Plans aimed at improving diversity in clinical research. Quality insights make a difference and H1 has the data needed to support compliance with FDA requirements and diverse clinical trials. Find out more by requesting a demo today.

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Four Ideas for Pharma to Maximize the Influence of Digital Opinion Leaders in Medicine

H1 Blog

Insights for Thought Leading Stakeholder Engagement to Decrease Medication Non-Adherence Pharmaceutical companies have long recognized the importance of engaging key opinion leaders (KOLs) to gain insight and support for clinical research, drug development, and medical education.

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Trials, Data, Diversity – H1’s Top 5 Diagnoses (Predictions) for Biotech and Pharma in 2024

H1 Blog

Pharmaceutical companies are on the brink of a tech revolution, and will embrace AI as a means to enhance their operations and research capabilities. In the near term, AI will be all about saving time, simplifying work processes, and knocking down language and jargon barriers in healthcare and clinical research.

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Predictive Analytics in Clinical Trials

Vial

The fields of artificial intelligence (AI) and machine learning (ML) are increasingly influencing clinical research and development (R&D). Contract research organizations (CROs) and pharmaceutical companies can leverage these cutting-edge technologies to streamline clinical trials and introduce automation in drug discovery.

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3 Ways CROs Can Expedite Clinical Trial Site Success

H1 Blog

Clinical Research Organizations (CROs) play an important role in the success of clinical trials. CROs play an important role in facilitating successful clinical trials by providing crucial processes and resources necessary for achieving desired outcomes while reducing administrative burden on Principal Investigators.

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Optimizing Clinical Data Registries: Opportunities for Diversity and Feasibility

H1 Blog

By providing access to a more diverse range of patient populations, researchers can gather valuable data from underrepresented groups. In addition to improving inclusivity, data networks also have the potential to bridge the gap between developed and developing countries in terms of clinical research.