Articles

Big data science: A literature review of nursing research exemplars

Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge.

The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals.

EHR Documentation: The Hype and the Hope for Improving Nursing Satisfaction and Quality Outcomes

The phenomenon of "data rich, information poor" in today's electronic health records (EHRs) is too often the reality for nursing. This article proposes the redesign of nursing documentation to leverage EHR data and clinical intelligence tools to support evidence-based, personalized nursing care across the continuum. The principles consider the need to optimize nurses' documentation efficiency while contributing to knowledge generation.

Interactive Care Model A Framework for More Fully Engaging People in Their Healthcare

Transformation of care delivery requires rethinking the relationship between the person and clinician. The model described provides a process to more fully engage patients in their care. Five encounters include assessing capacity for engagement, exchanging information and choices, planning, determining interventions, and evaluating the effectiveness of engagement interventions. Created by researchers and validated by experts, implications for practice, education, and policy are explored. 

Measuring Nursing Care Value

The value of nursing care as well as the contribution of individual nurses to clinical outcomes has been difficult to measure and evaluate. Existing health care financial models hide the contribution of nurses; therefore, the link between the cost and quality o nursing care is unknown. New data and methods are needed to articulate the added value of nurses to patient care.

Modeling Flowsheet Data to Support Secondary Use

The purpose of this study was to create information models from flowsheet data using a data-driven consensus-based method. Electronic health records contain a large volume of data about patient assessments and interventions captured in flowsheets that measure the same "thing," but the names of these observations often differ, according to who performs documentation or the location of the service (eg, pulse rate in an intensive care, the emergency department, or a surgical unit documented by a nurse or therapist or captured by automated monitoring).

Nurse Manager Competencies Supporting Patient Engagement

Patient engagement is an important element in transitioning care delivery to achieve population health management goals. Providers are challenged to develop care delivery processes that better engage patients in their life journey across the healthcare continuum. Nurse leaders are central to this process. Building upon the American Organization of Nurse Executives competencies for nurse executives, the nurse manager role requires specific skills to translate the vision of patient engagement into practice.

Nursing Management Minimum Data Set: Cost-Effective Tool To Demonstrate the Value of Nurse Staffing in the Big Data Science Era

There is a growing body of evidence of the relationship of nurse staffing to patient, nurse, and financial outcomes. With the advent of big data science and developing big data analytics in nursing, data science with the reuse of big data is emerging as a timely and cost-effective approach to demonstrate nursing value. The Nursing Management Minimum Date Set (NMMDS) provides standard administrative data elements, definitions, and codes to measure the context where care is delivered and, consequently, the value of nursing.

Nursing Management Minimum Data Set: Cost-Effective Tool To Demonstrate the Value of Nurse Staffing in the Big Data Science Era

There is a growing body of evidence of the relationship of nurse staffing to patient, nurse, and financial outcomes. With the advent of big data science and developing big data analytics in nursing, data science with the reuse of big data is emerging as a timely and cost-effective approach to demonstrate nursing value. The Nursing Management Minimum Date Set (NMMDS) provides standard administrative data elements, definitions, and codes to measure the context where care is delivered and, consequently, the value of nursing.