For this project the research questions were:
- What hospital factors are associated with having an HIE installed?
- Is having an HIE installed linked to better performance?
I combined five datasets detailed below to answer these questions:
- American Hospital Association Data 2010 - 2017 : : 50,264 records - 86 variables
- HIMSS Demographics Data 2018 : : 5,594 records - 35 variables
- HIMSS Technology Data 2018 : : 1,048,575 records - 19 variables
- HIMSS HIE Data 2018 : : 6,491 records - 10 variables
- HIMSS Patient Survey Data 2018 : : 260,361 records - 28 variables
- Creating Outline Block Models to Answer the Research Questions
- Selecting Variables from Data Description Files for Download Submission Request
- Merging the Data Sets
- Data Preparation, Cleaning, Reduction
- Data Exploration and Visualization
- Creating a Technology Score Data Variable from the HIMSS Technology Data
- Correlation and Significance Testing
- Building Logistic and Linear Regression Models to Answer the Research Questions
- Developing Insights from the Models
- "RashmiMariyappa_1_HospitalHIE_Presentation"
This presentation provides a full detail of the project, analysis, and key findings - "RashmiMariyappa_2_HospitalHIE_Report"
This report further details the project, analysis, and key findings - "RashmiMariyappa_3_HospitalHIE_Merge_Code"
The R code used to merge, clean, and prepare the data - "RashmiMariyappa_4_HospitalHIE_Analysis_Code"
The R code used for the data analysis and model building