Q1
Walk me through how you would approach analyzing hospital readmission rates across different departments. What data sources would you use, what metrics would you calculate, and what tools would you leverage?
Why they ask this:* They want to assess your ability to design analytical frameworks for common healthcare problems, understand relevant healthcare metrics, and demonstrate proficiency with analytical tools and data sources used in the industry.
Q2
Explain the difference between EHR and EMR systems, and describe how you would extract and clean patient data from an EHR for analysis while maintaining HIPAA compliance.
Why they ask this:* This tests your foundational healthcare IT knowledge, understanding of data governance and privacy regulations critical to healthcare, and your ability to work with real healthcare data systems safely and appropriately.
Q3
You're tasked with building a predictive model for patient no-shows. What features would you include, what statistical or machine learning approach would you consider, and how would you validate your model?
Why they ask this:* They're evaluating your analytical methodology, understanding of healthcare-specific business problems, familiarity with statistical and ML techniques, and your ability to think critically about model selection and validation in a healthcare context.
Q4
Describe your experience with SQL queries and visualization tools (Tableau, Power BI, etc.). How would you create a dashboard to track key performance indicators (KPIs) for a healthcare facility's operational efficiency?