Unstructured Data Analysis for Improved Patient Adherence

Healthcare

THE CHALLENGE.

Patient adherence to prescribed medications is crucial for improving health outcomes and ensuring the success of pharmaceutical companies. However, understanding patient behavior requires accurate data, which can be challenging when dealing with unstructured case notes.

A biotechnology company faced significant challenges with its patient interaction data:

  1. Data Quality Issues:
    • Descriptions were often inaccurate, incomplete, or inconsistently formatted.
    • This made it difficult to extract meaningful insights into why patients did or did not adhere to their prescribed regimens.
  1. Lack of Actionable Insights:
    • The organization had no structured way to identify behavioral trends or barriers that affected patient adherence.

To improve patient outcomes and enhance operational success, the company turned to Pegasus One to leverage its expertise in AI-driven unstructured data analysis.

Data Analysis and Machine Learning

APPROACH.

AI-Powered Data Transformation
Pegasus One collaborated with the client to unlock actionable insights from years of unstructured case notes using machine learning (ML) and natural language processing (NLP) technologies.

Steps Taken:

  1. Understanding the Context:
    • Worked closely with the company to identify critical patient behaviors, business needs, and key pain points.
  1. Building Taxonomies and Ontologies:
    • Developed custom taxonomies and ontologies to classify and organize relevant terms, concepts, and patterns in patient interaction data.
  1. Training the AI Model:
    • Leveraged ML and NLP to analyze years of free-text case notes.
    • Focused on recognizing words and phrases of interest related to medication adherence.
  1. Delivering Insights:
    • Presented findings in a 40-page narrative, ensuring results were understandable and actionable for stakeholders and leadership.

Highlights of the Solution:

  • Identified 23 meaningful insights and 11 key recommendations.
  • Created a framework for continuous improvement, including new KPIs to track and optimize patient adherence.

RESULTS.

  1. Comprehensive Insights:
    • Discovered patterns and barriers that prevented patients from adhering to medication regimens.
    • Delivered 23 insights and 11 actionable recommendations to guide patient engagement strategies.
  1. Collaborative Efforts:
    • Partnered with the company’s stakeholders to design taxonomies and ontologies, ensuring alignment with business objectives.
  1. Measurable Improvements:
    • Developed new KPIs to monitor and encourage adherence-focused actions, maximizing both patient wellness and drug sales.

VALUE.

The AI-powered solution provided the biotechnology company with an actionable roadmap to improve patient engagement and adherence:

  1. Enhanced Patient Support:
    • Insights enabled better understanding of patient challenges, leading to improved patient support programs.
    • Increased the likelihood of patients staying on prescribed treatments.
  1. Workflow Optimization:
    • Introduced workflow improvements based on identified roadblocks, helping reduce drop-offs in treatment adherence.
  1. Strategic Next Steps:
    • Plans for further documentation improvements and stakeholder training.
    • Exploration of AI applications for other areas, including sales and marketing functions.

Unlock the Power of Your Data with Pegasus One
From unstructured data to actionable insights, Pegasus One transforms challenges into opportunities. Ready to optimize your processes and improve outcomes? Let’s collaborate.