Question: I need a resource that provides real-world data on drug efficacy and safety beyond traditional clinical trials.

eHealthMe offers a site that uses big data and AI/ML algorithms to let you run your own phase IV clinical trials, a process that's typically only accessible to pharmaceutical companies and the FDA. It offers real-world information on drug results based on large data sets, including more than 48,000 drugs, 20,551 conditions and health outcomes from 23 million patients. It can be useful for monitoring drugs after approval and for personalized research into drug effectiveness and risks.

Another option is Veradigm, which offers data-driven solutions for Life Sciences, Health Plans and Payers, and Healthcare Providers. It offers Real World Data (RWD) and Real World Evidence (RWE) by aggregating multiple EHR data sources, covering more than 180 million patient records. This can be useful for epidemiology, HEOR, and market access, offering insights that can help inform healthcare decisions and improve patient outcomes.

Huma.AI is a generative AI platform designed for the life sciences industry. It's geared for medical affairs, regulatory affairs and clinical development professionals to interpret and analyze machine learning outputs. With features like complete privacy, access to internal and external data sources, and references to support every result, it makes real-world data analysis easier and automates post-market surveillance, validated at 97% accuracy.

For a broad database of drug information, DrugBank offers structured data and patient insight tools to help advance drug discovery and healthcare delivery. With access to more than 500,000 drug products, it offers actionable insights, advanced search capabilities and patient-centric information. This platform can be highly customized and is geared for healthcare providers, biotech companies and researchers, helping to improve healthcare outcomes with accurate and up-to-date information.