Adopting an American framework to optimize nursing admission documentation in an Australian health organization.

Abstract

ObjectiveApply and modify the American Essential Clinical Dataset (ECD) approach to optimize the data elements of an electronic nursing admission assessment form in a metropolitan Australian local health district.Materials and MethodsWe used the American ECD approach but made modifications. Our approach included (1) a review of data, (2) a review of current admission practice via consultations with nurses, (3) a review of evidence and policies, (4) workshops with nursing and informatics teams in partnership with the electronic medical record (eMR) vendor, and (5) team debrief sessions to consolidate findings and decide what data elements should be kept, moved, or removed from the admission form.ResultsOf 165 data elements in the form, 32% (n = 53) had 0% usage, while 25% (n = 43) had 100% usage. Nurses’ perceptions of the form’s purpose varied. Eight policy documents specifically prescribed data to be noted at admission. Workshops revealed risks of moving or removing data elements, but also uncovered ways of streamlining the form. Consolidation of findings from all phases resulted in a recommendation to reduce 91% of data elements.DiscussionApplication of a modified ECD approach allowed the team to identify opportunities for significantly reducing and reorganizing data elements in the eMR to enhance the utility, quality, visibility, and value of nursing admission data.ConclusionWe found the modified ECD approach effective for identifying data elements and work processes that were unnecessary and duplicated. Our findings and methodology can inform improvements in nursing clinical practice, information management, and governance in a digital health age.