title: Measuring Nursing Value from the Electronic Health Record.
abstract: We report the findings of a big data nursing value expert group made up of 14 members of the nursing informatics, leadership, academic and research communities within the United States tasked with 1. Defining nursing value, 2. Developing a common data model and metrics for nursing care value, and 3. Developing nursing business intelligence tools using the nursing value data set. This work is a component of the Big Data and Nursing Knowledge Development conference series sponsored by the University Of Minnesota School Of Nursing. The panel met by conference calls for fourteen 1.5 hour sessions for a total of 21 total hours of interaction from August 2014 through May 2015. Primary deliverables from the bit data expert group were: development and publication of definitions and metrics for nursing value; construction of a common data model to extract key data from electronic health records; and measures of nursing costs and finance to provide a basis for developing nursing business intelligence and analysis systems.
authors.affiliation: University of Colorado College of Nursing, Aurora, CO.
authors.forename: John M
authors.initials: JM
authors.lastname: Welton
authors.affiliation: Cerner Corporation, Kansas City, MO.
authors.forename: Ellen M
authors.initials: EM
authors.lastname: Harper
mesh_terms: D004471:Economics, Nursing / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000191:economics* / Q000706:statistics & numerical data; D017048:Health Care Costs / Q000706:statistics & numerical data*; D018803:Models, Economic; D016294:Models, Nursing; D009726:Nurses / Q000191:economics* / Q000706:statistics & numerical data; D015895:Relative Value Scales; D014481:United States