How Unstructured Data Analysis Can Lead to Healthier Patient Behavior
The Challenge When patients take the medications they’re prescribed, it can have a major impact on their health, as well as on the success of the companies that produce pharmaceuticals and other treatments. A biotechnology company wanted to use its case notes to understand why patients did or did not follow their medication regimens. But the descriptions of patient interactions were inaccurate, incomplete or in inconsistent formats, making valuable insights into their behavior difficult or impossible for the company to capture and act on. Our Approach Working with the company to understand its products, patients and business needs, we identified the words and phrases of greatest interest within its case notes and built the ontologies and taxonomies required to train an artificial intelligence application to recognize this content. Our life sciences technology experts and the company applied machine learning and natural language processing (NLP) to years of unstructured, free text notes. To more effectively share the findings with client stakeholders and senior leadership, we created a 40-page narrative that presented our results in an understandable and actionable format.
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