Which data source would you use to support a QI initiative aimed at reducing COPD readmissions?

• A. Electronic Health Record data for admissions, medications, follow-up, PROs
• B. Social media posts
• C. Restaurant menus
• D. Public transit schedules

Answer: (A)

Focusing on data that capture the patient’s clinical course and post-discharge status is key when trying to reduce COPD readmissions. Electronic health record data provide the full picture: admission events, medications prescribed and reconciled at discharge, follow-up appointments, and patient-reported outcomes that reflect symptoms and quality of life. This rich, longitudinal information lets you quantify 30-day readmission rates, identify patients at higher risk, verify that discharge plans are implemented (such as correct inhaler use, timely follow-up, and appropriate therapy changes), and assess the impact of interventions over time. Including patient-reported outcomes adds depth by capturing how symptoms and daily functioning influence readmission risk, guiding targeted improvements like patient education, pulmonary rehab referrals, or enhanced post-discharge support. Other options don’t offer the necessary clinical detail or reliability for this purpose—social media posts lack clinical validity, and restaurant menus or transit schedules are unrelated to COPD outcomes.