Medical imaging data reconciliation, part 1: innovation opportunity.
The concept of data reconciliation has been well described in the industrial and pharmaceutical literature and is designed to ensure the integrity, reliability, and accuracy of sequential data in a multistep process. This concept can similarly be applied to the delivery of medical imaging services, which begins with order entry and ends with reporting and communication. The ultimate goal of medical imaging data reconciliation is to ensure continuity of care, extending across multiple service providers and imaging and information system technologies. The longitudinal analysis of standardized data across the imaging continuum presents an opportunity to improve communication between service providers, education and training, workflow, and clinical outcomes. In addition, the derived data can in turn be used to create data-driven best-practice guidelines and computerized decision support tools.
Published In/Presented At
Reiner B. I. (2011). Medical imaging data reconciliation, part 1: innovation opportunity. Journal of the American College of Radiology : JACR, 8(9), 622–625. https://doi.org/10.1016/j.jacr.2011.05.009
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
Department of Radiology and Diagnostic Medical Imaging