MY RESEARCH IMPACT
Changing the community’s view of the nature of nursing in a positive way;
Establishing new knowledge in nursing science
Zare, R. N. (2012). Research Impact. CURRENT SCIENCE, 102(1), pp. 9.
1. My Research Vision
Data-Technology Oriented Nursing Operations Research (DONOR)
Copyright ⓒ 2017 Park, Claire Su-Yeon., Center for Econometric Optimization in the Nursing Workforce.
All Rights Reserved. Patent-pending in Korea (Park’s User-friendly Cloud-based Intersectional Optimized Nurse Staffing (Sweet Spot) Decision-making Support System [10-2017-0052130] with an effective patent-pending date of 24 Apr 2017); the Patent Cooperation Treaty (PCT) patent claiming priority of the Korean patent application pending [PCT/KR2018/004660] with an effective date of 23 Apr 2018. Use of the contents, illustrations, and even ideas in all contents and figures in this homepage, even in part, requires written permission from the copyright & patent holder. Under the international copyright law, anyone violating a copyright & patent on it will face legal punishment.
Overarching Research Theme
Where is the ideal area in a "nurse staffing" trajectory to optimize the "quality of care" and "cost" in nursing practice?
Overarching Research Goals
a.) To determine the “Optimized Sweet Spot/Zone” in a “Nurse Staffing” trajectory to balance both “Quality of Care” and “Cost” in nursing practice
b.) To create a new academic area of specialization in nursing science, “Econometric Optimization in the Nursing Workforce”
New Specialization
Econometric Optimization in the Nursing Workforce
Center for Econometric Optimization in the Nursing Workforce
2. Research Interests: Nursing Health Services Research to Achieve the Patient-centered Value-based Healthcare Delivery System
1) Evidence-based Informed Shared Decision-Making Rationales Among Key Stakeholders for Viable, Sustainable, and Effective Nursing Workforce Policy-Making/Materializing
2) Mathematical Programming (Non-linear Optimization with Constraints, Multiple Criteria Decision Modeling, Dynamic Optimization—Bellman Equation—, and Algorithmic Game Theory)
3) Mathematical Simulation/Forecasting
4) Comparative Effectiveness Research, the Person-centered Treatment Effect (PeT) Method
5) Analysis of Change, Growth Curve Modeling, Within-person De-trended Intra-individual Variability Index
3. Main Research Strengths: Methodological Research
Mathematical Programming (Optimization) with Maple (in progress)
① Linear and Nonlinear Mathematical Programming with Constraints
② Multiple Criteria Decision Modeling with D-Sight
Comparative Effectiveness Research
① Doubly Multivariate Repeated Analysis of Covariance (RMANCOVA)
② Propensity Score Analysis & Instrumental Variable Analysis (in progress)
③ Person-centered Treatment Effect (PeT) Comparison (in progress)
Analysis of Change
① Growth Curve Modeling
② Within-person De-trended Intra-individual Variability Index
Economic Evaluation
① Cost-Effectiveness Analysis
② Cost-Benefit Analysis
Development and Validation of an Instrument
① Explanatory Factor Analysis (Principal Axis Factoring)
② Confirmatory Factor Analysis
③ Item Response Theory Analysis (in progress)
Qualitative Content Analysis