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Discover how OpenSimplify helps researchers go from raw data to publication-ready manuscripts, automatically generating tables, summaries, and literature comparisons to streamline the publishing process.

Choosing the right tool can make or break your clinical research workflow. In this post, we compare the top five platforms for statistical analysis in healthcare, spotlighting OpenSimplify, a rising, no-code solution trusted by researchers for its speed, accuracy, and ease of use. From automated Table 1s to forest plots in minutes, discover why OpenSimplify is changing how modern clinical studies get done.

We are excited to announce that OpenSimplify’s MyAnalyst (Clinical Reports v1.2.0) was recently cited in a peer-reviewed clinical study conducted by researchers at Albert Einstein College of Medicine. The paper, Clinical Features and Surgical Outcomes in Patients with Symptomatic Carotid Artery Webs, explored risk factors and surgical outcomes using advanced statistical modeling. And they used MyAnalyst to get there.

Clinical research has the power to transform medicine, but anyone who’s worked with research data knows it’s no walk in the park. From messy datasets to regulatory minefields, clinical research data analysis brings its own unique set of headaches. Let’s explore the top five challenges researchers face and more importantly, how OpenSimplify helps solve them using powerful, AI-driven solutions for healthcare analytics.

In the era of digital clinical research, data security is not just a feature, it's a necessity. With sensitive health records, patient...