Sentence examples for use data to inform decisions from inspiring English sources
Just as businesses use data to inform decisions, it is critical for child welfare systems to use readily available data when making decisions about practice or policy, especially when these decisions have potential to significantly affect the lives of children and families.
Researchers in these fields are focused on using data to inform decisions.
District health officials described using data to inform decision making by addressing problems and developing targeted responses to overcome problems.
Preferable is systematic monitoring of medicines availability and prices that can help identify potential problems and the corrective actions required and a culture of using data to inform decision-making and planning at the country level.
Notably absent from this Verma-Moran instrument [ 53] or the studies by Joly [ 52] and colleagues were measures for "using data to inform decision making", which some QI authorities consider to be a critical principle of QI [ 54] and an essential characteristic of a QI culture.
At The Journal, editors use traffic data to inform decisions on how articles should be presented on WSJ.com.
Following this goal selection, agencies were provided with training in data-driven decision-making (DDDM that is, how to review and use agency data to inform decisions made as a part of sites' efforts to improve Cascade performance (Orwin et al. 2012; Young et al. 2006).
Health programs, however, often fall short of efficient use of data to inform decisions.
Quality data are the foundation to health system improvements [ 1- 3]; however, health programs frequently fall short of efficient use of data to inform decisions [ 4].
The goal is to use the data to inform decisions, policies and targeting of resources so that we make a measurable, positive difference impact on the lives of children.
Because programs often fall short of efficient use of data to inform decisions, international commitments have been made to strengthen the quality, relevance, and comprehensiveness of data to ultimately improve data use and data-informed decision making (6).
