How AI Is Unlocking Unstructured Healthcare Data To Transform Prostate Cancer Treatment

As the global reliance on algorithms and artificial intelligence (AI) continues to grow, the importance of data quality and completeness has become a critical concern. These technologies are increasingly used to assess risks, detect anomalies, and predict future events. However, when models are built on datasets that are inaccurate, incomplete, or incompatible, they risk producing unreliable or misleading outcomes that fail to represent the full spectrum of the population. While much attention has been given to the ways AI can perpetuate existing inaccuracies, there has been comparatively less focus on how AI is also being leveraged to enhance the completeness and accuracy of data. This is particularly evident in the field of prostate cancer research, where AI-powered analytics and real-world evidence (RWE) are being used to construct a more comprehensive and nuanced understanding of patient populations.

At the forefront of this effort is Verana Health, a company playing a pivotal role in transforming how data is utilized in clinical research. Verana Health is harnessing the power of AI to extract valuable insights from unstructured data found in the clinical notes of urologists’ electronic health records (EHRs). By unlocking these hidden insights, Verana Health is helping to build a more accurate and complete picture of the disease, ultimately supporting better patient outcomes and more informed clinical decision-making.