{"id":3697,"date":"2018-02-26T12:02:42","date_gmt":"2018-02-26T17:02:42","guid":{"rendered":"https:\/\/www.med.unc.edu\/ihqi\/?page_id=3697"},"modified":"2025-04-09T11:47:52","modified_gmt":"2025-04-09T15:47:52","slug":"data-collection-planning","status":"publish","type":"page","link":"https:\/\/www.med.unc.edu\/ihqi\/resources\/data-collection-planning\/","title":{"rendered":"Data Collection Planning"},"content":{"rendered":"
Data is essential to understand if the changes that we make are resulting in improvement. To begin, you must determine your data collection plan. Quality improvement data is often gathered on a set of measures or family of measures which include the following: outcome measures to track progress toward the aim or end goal of the project; process measures to monitor key steps influencing the outcome; and balancing measures to ensure improvements do not create unintended negative effects within your system. Data collection can start as simple count data collection and over time become more complex as you learn more about the project and have a better understanding of your family of measures.<\/p>\n