Understanding posology behaviors with AI for improved treatment success

Challenge: Improving treatment adherence through data-driven analysis

Our client, a global pharmaceutical company, needed to analyze dosage behavior among patients in the German market to identify patterns in treatment stops and restarts. The ultimate goal was to improve patient adherence and empower healthcare professionals (HCPs) with targeted educational materials. However, the data landscape was highly fragmented, scattered across multiple silos and subject to strict data privacy regulations. This made it nearly impossible to perform patient-level analysis without compromising compliance or data security. They needed a solution that could uncover actionable insights while preserving complete anonymity and regulatory alignment.

How we helped

We developed an AI-driven solution powered by a proprietary matching algorithm to analyze patient-level adherence data securely. The system enabled dynamic analysis of dosage patterns, allowing the client to:

• Identify deviations from optimal dosage frequency
• Understand patient-level adherence histories
• Detect where HCPs might benefit from additional educational materials

By combining advanced analytics with built-in privacy safeguards, this tool provided actionable insights without breaching regulatory boundaries.

The impact: Turning compliance into a catalyst for innovation

This collaboration demonstrated how AI can deliver measurable clinical and operational value even in highly regulated settings. Building on these results, the collaboration delivered several tangible outcomes:

• Identified patterns to track deviations from optimal dosage frequency.
• Created a patient tracker (i.e., adherence history on patient and HCP level).
• Improved treatment effectiveness for serious illnesses.
• Trained client teams to maintain and further develop the AI tool, increasing industry acceptance of AI-driven decision-making.