Last data update: Dec 02, 2024. (Total: 48272 publications since 2009)
Records 1-1 (of 1 Records) |
Query Trace: Geimer R[original query] |
---|
The National Healthcare Safety Network's digital quality measures: CDC's automated measures for surveillance of patient safety
Shehab N , Alschuler L , Mc ILvenna S , Gonzaga Z , Laing A , deRoode D , Dantes RB , Betz K , Zheng S , Abner S , Stutler E , Geimer R , Benin AL . J Am Med Inform Assoc 2024 OBJECTIVE: This article presents the National Healthcare Safety Network (NHSN)'s approach to automation for public health surveillance using digital quality measures (dQMs) via an open-source tool (NHSNLink) and piloting of this approach using real-world data in a newly established collaborative program (NHSNCoLab). The approach leverages Health Level Seven Fast Healthcare Interoperability Resources (FHIR) application programming interfaces to improve data collection and reporting for public health and patient safety beginning with common, clinically significant, and preventable patient harms, such as medication-related hypoglycemia, healthcare facility-onset Clostridioides difficile infection, and healthcare-associated venous thromboembolism. CONCLUSIONS: The NHSN's FHIR dQMs hold the promise of minimizing the burden of reporting, improving accuracy, quality, and validity of data collected by NHSN, and increasing speed and efficiency of public health surveillance. |
- Page last reviewed:Feb 1, 2024
- Page last updated:Dec 02, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure