title: Data analytics: making the most of input with strategic output.
abstract: In this department, Drs Murphy, Wilson, and Newhouse highlight hot topics in nursing outcomes, research, and evidence-based practice relevant to the nurse administrator. The goal is to discuss the practical implications for nurse leaders in diverse healthcare settings. Content includes evidence-based projects and decision making, locating measurement tools for quality improvement and safety projects, using outcome measures to evaluate quality, practice implications of administrative research, and exemplars of projects that demonstrate innovative approaches to organizational problems. In this article, the authors will describe data analytics and explore the potential for data analytics in meaningful use implementation to enhance executive decision making.
authors.affiliation: School of Nursing, University of Maryland, Baltimore 21201, USA. lmurphy@son.umaryland.edu
authors.forename: Lyn Stankiewicz
authors.initials: LS
authors.lastname: Murphy
authors.forename: Marisa L
authors.initials: ML
authors.lastname: Wilson
authors.forename: Robin P
authors.initials: RP
authors.lastname: Newhouse
mesh_terms: D057171:American Recovery and Reinvestment Act; D014487:Centers for Medicare and Medicaid Services, U.S. / Q000191:economics / Q000331:legislation & jurisprudence; D015400:Clinical Nursing Research; D003627:Data Interpretation, Statistical; D003657:Decision Making; D057286:Electronic Health Records / Q000191:economics / Q000331:legislation & jurisprudence; D055318:Evidence-Based Nursing; D006801:Humans; D062527:Meaningful Use / Q000191:economics / Q000331:legislation & jurisprudence; D048108:Nursing Informatics / Q000592:standards* / Q000639:trends; D061214:Patient Safety; D011785:Quality Assurance, Health Care / Q000191:economics / Q000379:methods*; D012052:Reimbursement, Incentive / Q000331:legislation & jurisprudence; D014481:United States