How AI is Unlocking Unstructured Healthcare Data to Transform Prostate Cancer Treatment

Data quality and completeness have become hot button issues as the world has grown increasingly reliant on algorithms and artificial intelligence (AI) to assess risks, spot anomalies, and forecast events. The concern, of course, is that models based on inaccurate, incomplete or incompatible datasets will fail to represent the entire population and produce skewed results.

While we’ve heard a lot about AI perpetuating inaccuracies, less has been written about how AI is being used to extract a more complete picture from underlying datasets. Yet, that’s exactly what’s happening today in the field of prostate cancer research using real-world evidence (RWE) and AI-powered analytics to receive a more accurate and comprehensive view of the patient population.

Verana Health is at the center of this effort through the work it’s performing to tap into unstructured data in the clinical notes of urologists’ electronic health records (EHRs). This valuable information can help provide a better understanding and more accurately identify the key signals of prostate cancer disease progression.