Improvement Advisor and Data Analyst Dyad Creates a QI Powerhouse

Traditional data requests for quality improvement are often tedious, with misinterpreted requirements and repeated manual edits stemming from limited interaction between data analysts and subject matter experts. Discover how implementing an improvement advisor and data analyst dyad enables engaged, committed clinical teams, and translates clinical requirements into trusted analytics and actionable data.

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