of errors to other settings can be minimized. LaVenture went on to suggest that health care professionals should be educated on the value of quality data to encourage further focus on and enthusiasm for high-quality data, and incentives should encourage use of this data to increase value and quality. Public health agencies need similar incentives and support to modernize state and local systems in order to enable bidirectional flow of this information. Additionally, LaVenture noted that better use of existing standards and adopting new standards for the content and quality of data will reduce variability and increase usability for multiple purposes, and continuous improvement of data sources will ensure that their output is of the highest quality possible. It is also critical that information generated from these sources, and the knowledge from its analysis, is brought back to the source, to foster continuous improvement at the source level. Finally, LaVenture concluded by emphasizing that continued innovation with the public health case in mind will lead to better-quality data and better surveillance through improved adoption, use, and exchange of health information.