Nursing Informatics and Collaborative E-Health (NICE) Research Core
Understanding the Interactions of People, Technology, and Information to Improve the Health of Patients, Families, and Communities
The Nursing Informatics and Collaborative E-Health (NICE) Research Core was established at the University of Colorado College of Nursing in November 2013 to increase informatics research capacity within the University of Colorado system and provide informatics consulting expertise to health-related projects in research and practice settings. The NICE Research goal is to understand the interactions of people, technology and information to improve the health of patients, families and communities. The NICE Research Core focuses on three components from the proposed nursing informatics model from the AMIA Nursing Informatics Working Group1 (Figure 1).
Figure 1. NICE Research Focus Areas (in bold)
If you are interested in engaging NICE investigators about integrating informatics into your research or practice, please contact Blaine Reeder at firstname.lastname@example.org.
NICE investigators can help you to
(1) Understand how people use information and technology to accomplish health-related work in clinical and non-clinical settings by engaging stakeholders to
Identify information needs
Evaluate usability, utility and acceptability of systems, technologies and information
Design and develop novel technologies and data visualizations
(2) Understand the meaning of data from novel and existing multiple data sources through efforts to
Develop innovative methods to analyze and visualize large data sets
Create new strategies to integrate disparate data sources
Validate observed workflow through analysis of data captured by organizational information systems, such as electronic health records
Develop and analyze clinical, operational, and summary finance and discharge data to determine nursing or health system efficiency, effectiveness, productivity, performance, costs, quality, and outcomes of care
Create, test, and evaluate new statistical models for use real-time analysis of healthcare data to improve clinical, operational, and financial decision-making
Develop nursing performance and financial benchmarking tools
Create and utilize nursing business intelligence and analytics programs
Provide evidence-based nurse staffing and assignment data to improve patient outcomes of nursing care
Current NICE Projects
CUPID (CU Patient-Initiated Data system): Developing a large clinical and operational database for collaborative nursing analytics data research within a multi-hospital consortium. (Welton, Ozkaynak, Reeder)
Developing and testing a new model for costing inpatient nursing care based on electronic nurse staffing and assignment data (Welton, Ozkaynak)
In-home sensing technologies to support independent aging (Reeder, Ozkaynak, Welton)
Understanding workflow for anticoagulation management across clinical and non-clinical settings (Ozkaynak, Reeder)
Systematic review to identify IRB issues and challenges related to conducting multi-institute informatics studies (Reeder, Ozkaynak, Welton)
LITECap: Tools to support synthesis of evidence from scientific literature (Reeder, Ozkaynak, Welton)
Dr. Welton’s research for the past two decades has focused on the nursing care system, costs, intensity, and value using existing large data sets.
Dr. Ozkaynak’s research interests include social and organizational consequences of health information technologies.
Dr. Reeder’s area of expertise is the design and evaluation of systems and technologies for use by older adults, health professionals and researchers.