Structured datasets from electronic medical records (EMRs) — and resulting claims data —often overlook the critical “why” behind patient care decisions.  

Why it matters: With EMRs, healthcare professionals (HCPs) are restricted to capturing complex patient details through dropdowns, radio buttons + small notes fields, much of which are converted to billing codes. These rigid layouts and resulting outputs make it difficult for prescribers to document patient care details, like treatment decisions + patient characteristics. As a result, there are often significant gaps in clinical data capture.

However, unstructured datasets, like a HIPAA-compliant database of unfiltered HCP-patient conversations converted to text, can help fill this void. This qualitative clinical data provides layered insights into patient + prescriber interactions, revealing the rationale behind treatment choices (e.g., starting, switching, or stopping treatment), symptoms, side effects, and more. This level of detail helps HCPs tailor patient care, speed time to treatment + improve outcomes.

The big picture: Biopharma companies can enhance their analytics by integrating unstructured clinical data into their current research + development strategies. By taking a qualitative approach, they can uncover valuable real-world healthcare insights that might otherwise be overlooked. Having access to “beyond-the-obvious” intel enables pharma companies to make more informed, strategic decisions.

How we can help: Amplity’s proprietary qualitative database + platform, AnswerY™, is a testament to the power of unstructured data. With over 80 million unstructured patient records and 150,000+ HCPs that are refreshed monthly, AnswerY can help provide context to questions such as: Why was this therapy discontinued? Why did this prescriber choose a competitor’s product? Why did the patient stop taking their medication? This empowers pharma organizations to make targeted next steps in the patient care journey.

How it works: Effectively utilizing unstructured data requires advanced artificial intelligence (AI), natural language processing (NLP), and digital processing technologies. When mined effectively through cutting-edge data science methodologies, unstructured datasets provide a more robust, real-world view of patient care as compared to structured EMR-based datasets.

The bottom line:  

• The mining of unstructured data, when executed with advanced AI technology, can deliver deeper insights into patient care versus structured EMR datasets
• With AnswerY, you can gain a distinct advantage in understanding HCP sentiment and, more importantly, in addressing patient needs more quickly + effectively