title: The current state of validating the accuracy of clinical data reporting: lessons to be learned from quality and process improvement scientists.
abstract: We believe that the current practice in HAI reporting of using estimation approaches rather than quality control approaches to data supply chain validation might be supportable for research. However, we believe that it should not be the standard recommended practice for program managers who need to ensure that their data supply chain produces data of sustainably reliable quality over time to ensure maximum protection of the public’s health. Therefore, we strongly recommend an immediate, synergistic alignment of the state-of-the-art validation acceptance-sampling methods and science currently used widely in industry with the needs and logistics of the tasks involved in collecting, sampling, evaluating, and reporting HAI data. We believe that the American public deserves to have its best technology and its “A Team” on the field in this effort and that involving the ASQ, its Healthcare Division, its quality scientists, and its intellectual capital resources could dramatically improve the HAI quality reporting system. Our people and our healthcare system deserve no less!
authors: American Society for Quality Healthcare Division, Milwaukee, Wisconsin, USA. josephf41@aol.com
authors: Joseph A
authors: JA
authors: Fortuna
authors: William A
authors: WA
authors: Brenneman
authors: Sandra
authors: S
authors: Storli
authors: David
authors: D
authors: Birnbaum
authors: Kay L
authors: KL
authors: Brown
mesh_terms: D003428:Cross Infection / Q000209:etiology / Q000517:prevention & control; D018563:Disease Notification / Q000592:standards*; D006801:Humans; D011786:Quality Control; D013223:Statistics as Topic