How can Datavant balance the need for robust privacy protections in its Connect product with the demand for more granular patient data from healthcare researchers?

Introduction

Balancing robust privacy protections in Datavant's Connect product with the demand for more granular patient data from healthcare researchers presents a critical trade-off. This scenario involves navigating the delicate balance between data utility and patient privacy in the healthcare analytics space. I'll address this challenge by analyzing the product ecosystem, identifying key metrics, designing experiments, and providing a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on the current regulatory landscape, I'm thinking HIPAA compliance is a major concern. Could you provide more context on the specific privacy regulations Datavant needs to adhere to?

Why it matters: Helps define the boundaries of what's legally possible Expected answer: HIPAA, GDPR, and state-specific regulations Impact on approach: Would influence the level of data granularity we can consider

• Considering Datavant's business model, I assume researchers are the primary revenue source. How does the current pricing structure relate to data granularity?

Why it matters: Helps understand the financial implications of potential changes Expected answer: Tiered pricing based on data detail level Impact on approach: Would inform potential new product offerings or pricing adjustments

• Looking at user behavior, I'm curious about the most common types of research being conducted. What are the top 3 use cases for Connect?

Why it matters: Helps prioritize which data elements are most critical Expected answer: Clinical trial recruitment, outcomes research, and drug safety studies Impact on approach: Would guide decisions on which data elements to prioritize for granularity

• Regarding technical feasibility, what's our current capability for data anonymization and de-identification?

Why it matters: Determines the extent to which we can increase granularity while maintaining privacy Expected answer: Advanced techniques like differential privacy are in place, but with room for improvement Impact on approach: Would influence the potential solutions we can consider

• Considering timeline pressures, are there any upcoming regulatory changes or market shifts that could impact this decision?

Why it matters: Helps determine the urgency of implementing changes Expected answer: New privacy legislation expected in the next 12-18 months Impact on approach: Would affect the timeline for rolling out any changes