Turning Health Systems Data Into Actionable Information.

J Nurs Adm

Author Affiliations: Assistant Professor (Dr Nelson-Brantley), University of Kansas School of Nursing; Assistant Professor/Specialty Director iLEAD (Dr Jenkins), University of Colorado College of Nursing, Aurora; and Associate Professor of Clinical Nursing (Dr Chipps), The Ohio State University College of Nursing, and Clinical Nurse Scientist, The Ohio State University Wexner Medical Center, Columbus.

Published: April 2019

Health systems produce vast amounts of complex, multidimensional data. Health systems nurse leaders, informaticians, and nurse researchers must partner to turn these data into actionable information to drive quality clinical outcomes. The authors review health systems in the era of big data, identify opportunities for health systems-nursing research partnerships, and introduce emerging approaches to data science education in nursing.

Download full-text PDF

Source
http://dx.doi.org/10.1097/NNA.0000000000000734DOI Listing

Publication Analysis

Top Keywords

health systems
16
data actionable
8
data
5
turning health
4
systems
4
systems data
4
health
4
actionable health
4
systems produce
4
produce vast
4

Similar Publications

Background/objectives: Millions of individuals worldwide continue to experience symptoms following SARS-CoV-2 infection. This study aimed to assess the prevalence and phenotype of multi-system symptoms attributed to Long COVID-including fatigue, pain, cognitive-emotional disturbances, headache, cardiopulmonary issues, and alterations in taste and smell-that have persisted for at least two years after acute infection, which we define as "persistent Long COVID". Additionally, the study aimed to identify clinical features and blood biomarkers associated with persistent Long COVID symptoms.

View Article and Find Full Text PDF

A historical perspective of more than one hundred years of influenza surveillance in New York State demonstrates the progression from anecdotes and case counts to next-generation sequencing and electronic database management, greatly improving pandemic preparedness and response. Here, we determined if influenza virologic surveillance at the New York State public health laboratory (NYS PHL) tests sufficient specimen numbers within preferred confidence limits to assess situational awareness and detect novel viruses that pose a pandemic risk. To this end, we analyzed retrospective electronic data on laboratory test results for the influenza seasons 1997-1998 to 2021-2022 according to sample sizes recommended in the Influenza Virologic Surveillance Right Size Roadmap issued by the Association of Public Health Laboratories and Centers for Disease Control and Prevention.

View Article and Find Full Text PDF

High Detection Rate of Rotavirus Infection Among Children Admitted with Acute Gastroenteritis to Six Public Hospitals in Luanda Province After the Introduction of Rotarix Vaccine: A Cross-Sectional Study.

Viruses

December 2024

Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Interdisciplinary Center for Research in Animal Health (CIISA), Faculty of Veterinary Medicine, University of Lisbon, 1300-477 Lisbon, Portugal.

Rotavirus group A (RVA) is a major cause of pediatric acute gastroenteritis (AGE). Vaccination is an effective public health strategy and Angola implemented it in 2014. This hospital-based study aimed to estimate the prevalence of RVA infection and the severity of AGE in children under five years of age treated at six hospitals in Luanda Province.

View Article and Find Full Text PDF

Access to safe water and food is a critical issue in sub-Saharan Africa, where microbial contamination poses significant health risks. Conventional water treatment and food preservation methods have limitations in addressing water safety, particularly for antibiotic-resistant bacteria and other pathogenic microorganisms. This review explores the potential application of bacteriophages as an innovative solution for water treatment and food safety in the region.

View Article and Find Full Text PDF

The coronavirus disease 2019 (COVID-19) pandemic profoundly disrupted the epidemiology of respiratory viruses, driven primarily by widespread non-pharmaceutical interventions (NPIs) such as social distancing and masking. This eight-year retrospective study examines the seasonal patterns and incidence of influenza virus, respiratory syncytial virus (RSV), and other respiratory viruses across pre-pandemic, pandemic, and post-pandemic phases in Jalisco, Mexico. Weekly case counts were analyzed using an interrupted time series (ITS) model, segmenting the timeline into these three distinct phases.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!