Minnesota Nursing magazine
Nursing and data science
The need to educate nurses about data science drove the nursing informatics faculty to develop an online continuing education course on Data Science Methods for Clinicians. The course provides an overview of new data analytic methods and application in health care. It also covers methods for reuse of big data in the context of health care for quality improvement and research, from an interprofessional team perspective. In partnership with researchers, clinicians generate and ensure quality of data, identify research questions, foster reuse of clinical data for research and interpret results. Clinicians are the domain experts, working alongside researchers, informaticians and computer scientists. The online course provides clinicians flexibility in time to participate and 60 contact hours accredited for nursing, with interprofessional accreditation pending. For future offerings go to https://z.umn.edu/datascience2.
Valid and reliable results from data science research rely on the integration of standardized data from patients, nurses and the interprofessional team. Nurses need to know how to implement standardized data, advocate for health policies inclusive of all health care members and participate in data science research teams. The Nursing Knowledge: Big Data Science Conference addresses these issues. This sixth-annual national conference will be held June 13-15 in Minneapolis and is open to all. The action-oriented conference aims to share achievements of 10 virtual working groups and plans for future activities.
Center for Nursing Informatics
Karen Monsen, PhD, RN, FAAN, FAMIA
Connie White Delaney, PHD, RN, FAAN, FACMI, FNAP
To lead the discovery, application, and cutting edge thinking for nursing informatics scholarship to improve the health of individuals and communities. Center members discover and employ innovative methods of informatics research; use standardized nursing terminologies and essential minimum data sets; and apply research methods to clinical and other information systems.
For more information: