Development of an academic-practice partnership model to anchor care coordination and population health

Nahm, Eun-Shim; Mills, Mary Etta; Raymond, Greg; Costa, Linda L.; Chen, Lynn; Nair, Priya; Seidl, Kristin L.; Day, Jenni; Murray, Linda; Rowen, Lisa; Kirschling, Jane Marie; Daw, Peg; Haas, Sheila

doi:10.1016/j.outlook.2021.09.005

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…In an ongoing 5-year implementation grant project, our multidisciplinary investigative team (UMNursing team) is investigating the impact of providing continuing nursing education on care coordination and patientcentered care on patient outcomes (NSP II-21-117, 2020-2025, UMNursing Care Coordination Implementation Collaborative Project). 21 The team comprised faculty members in a nursing school and clinical and data experts from a 2-campus academic medical center. The disease conditions, data sources, and variables were selected on the basis of the purpose of the project.…”

Section: Case Project Examplementioning

confidence: 99%

Real-World Data for Interdisciplinary Health Care Research

Nahm

Zhu

Seidl

et al. 2023

Advances in Nursing Science

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Real-word data (RWD) refer to data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources, including electronic health records, medical claims data, and patient-generated data. Data sets that combine personal health data stored in different sources can provide a more complete picture of an individual's health and can be used to improve population health through research and practice. The 2-tiered aim of this article is to provide a brief introduction to using RWD in health care research and to present a case study that demonstrates data curation and data merge from different sources while highlighting the benefits and limitations of using RWD. The current digital health ecosystem and value-based care approach highlight the need to use RWD to catalyze the advancement of health care research and practice. This is an excellent field that nurse researchers can lead, as they have an innate understanding of such data and data sources.

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Section: Case Project Examplementioning

confidence: 99%