Improvement Advisor – Data Analyst Dyad: A QI Powerhouse

Traditional data requests for quality improvement (QI) teams are often tedious, with misinterpreted requirements, manual edits, and inaccurate conclusions stemming from limited interaction between data analysts (DA) and subject matter experts. When improvement analysts (IA) and DA dyad partner with clinical teams using agile, iterative analytics to identify QI opportunities, measure results, and spread success, the need for translation is decreased and efficacy is improved.


  • 13 IA-DA dyads set up, supporting all areas of the hospital.
  • Automated measurement tools to support intervention design and improvement monitoring built within 3 months of a 6-month project.
  • Dyads consistently receive high client-satisfaction scores.
  • Increased analyst job satisfaction.


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