Categories
Scholarly research and writing

Title: Survey Results and Data Visualization for the Implementation of Artificial Intelligence in Medication Administration Systems to Improve Patient Safety in Healthcare Settings

Scenario
As you have learned in this course, qualitative, quantitative, and mixed methods research strategies can all be implemented by conducting surveys. In this section of your research project proposal, you will design an original survey that serves as the anchor for your methodology. If completed, you may use the research question identified in Deliverable 1.
Research Question
Ø  To what extent can artificial intelligence (AI) be implemented in medication administration systems to improve patient safety in healthcare settings?
Instructions
Using the Survey Results Worksheet linked here, create a presentation that effectively displays and communicates your survey results to a target audience.
D5 Survey Results Worksheet.xlsx
Choose a research question in your field, and write ten original, quantitative survey questions that correlate with the ten data columns on the Survey Results Worksheet. You may add qualitative questions and data if you wish.
Using the data in each column, create a graph, chart, or other data visualization for each of the ten survey items. You may employ any data visualization tool you prefer; however, please export and submit this document as a PDF.
Validate your data visualizations by including a one paragraph (five to seven sentences, minimum) interpretation of the findings for each of the ten data sets.
Submit the findings and written narratives in a single PDF.
NOTE – Be sure the documents are in APA format (including title page, font, headings) and contain proper grammar, spelling, punctuation, and sentence structure.
Rubric: 
All survey questions clearly support the research purpose and are structured appropriately. The questions are clear and objective.
All data sets are clearly displayed with a clean and professional appearance. Highly effective use of color and highlighting.
Clear and thorough narratives for each of the data sets.