Big data science and technologies can support integration of relevant staffing data like the NMMDS from health system human resource, scheduling, time and attendance, productivity management, case management, and pharmacy information systems.
NMMDS and Its Value for Sharable and Comparable Staffing Data
The value of the NMMDS was identified by an expert panel of chief nurse executives at the "Nursing Knowledge: Big Data Science" conference convened by the University of Minnesota School of Nursing.
Integration of NMMDS elements into efforts to define nursing value enhances emerging models of staffing excellence and evidence.
Integrating data elements of the NMMDS with current point-of-care technologies promotes staffing excellence by advancing sharable and comparable staffing analytics across the care continuum and across all health care enterprise settings.
Depending on the care setting, scheduling and staffing based on evidence requires information from each element of the NMMDS (Garcia et al.
Capacity Management, a Cerner Clairvia component, is an example of a system that integrates elements of the NMMDS from multiple disparate sources to provide actionable, real-time, decision support for nurse scheduling, staffing, and patient throughput.
Clairvia is mapped at the interface level to integrate data and generate new information from eight of the NMMDS elements.
Data related to the NMMDS data element 10: Nurse Accreditation/Certification/Licensure, is typically found in disparate systems.
Technology that integrates elements of the NMMDS for staffing or other complex management decisions can return valuable hours to the nurse leader.