For Cerner's HealtheIntent population health management platform, should we emphasize developing new predictive analytics tools or enhancing user-friendly dashboards for clinicians?

Introduction

For Cerner's HealtheIntent population health management platform, we're facing a critical trade-off between developing new predictive analytics tools and enhancing user-friendly dashboards for clinicians. This decision will significantly impact our product's effectiveness and user adoption. I'll analyze this trade-off by examining our product context, key metrics, and potential outcomes to provide a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on recent healthcare trends, I'm thinking predictive analytics might be a key differentiator. Could you share how our competitors are positioning their analytics capabilities?

Why it matters: Helps assess market positioning and potential competitive advantage Expected answer: Competitors are investing heavily in AI-driven analytics Impact on approach: Would prioritize predictive analytics development if we're lagging

• Considering our user base, I'm assuming clinicians are our primary users. Can you confirm the breakdown of our user segments and their specific needs?

Why it matters: Ensures we're focusing on the right user group and their pain points Expected answer: 70% clinicians, 20% administrators, 10% data analysts Impact on approach: Would tailor dashboard enhancements to clinician workflows if they're the majority

• Given the complexity of healthcare data, I'm curious about our current technical infrastructure. How scalable is our platform for handling increased data processing for advanced analytics?

Why it matters: Determines feasibility and potential technical debt of new analytics tools Expected answer: Current infrastructure can handle 2x current load Impact on approach: Might need to factor in infrastructure upgrades for advanced analytics

• Thinking about resource allocation, what's our current team composition between data scientists and UX designers?

Why it matters: Helps understand our capacity to execute on either option Expected answer: 60% data scientists, 40% UX designers Impact on approach: Might influence which option we can realistically pursue in the short term

• Considering market dynamics, how urgent is this decision in relation to upcoming contract renewals or new market opportunities?

Why it matters: Helps prioritize short-term vs. long-term focus Expected answer: Major contract renewals in 6 months Impact on approach: Might favor quick wins with dashboard enhancements if renewals are imminent