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Tag Archives: Analyze the dashboard data to identify gaps or areas for improvement in healthcare processes.

March 14, 2024
March 14, 2024

MGSC 5151 Final Project

The project is conducted in teams of five students, with a focus on healthcare analytics. You need

to choose a topic within the healthcare domain. Identify a problem or area that can be improved or

resolved through the application of healthcare analytics. The goal is to provide actionable

insights and recommendations to enhance healthcare operations, decision-making, or strategy.

Explore various aspects within the healthcare sector, considering topics such as:

MGSC 5151 Final Project

  • Patient outcomes and treatment effectiveness
  • Resource allocation and optimization in healthcare facilities
  • Healthcare cost management and financial efficiency
  • Predictive modeling for disease diagnosis or prevention
  • Patient satisfaction and experience improvement

MGSC 5151 Final Project

This narrowed focus on healthcare ensures that the projects align with the course theme and

contribute to the broader field of healthcare analytics.

Project Objective:

Develop a comprehensive healthcare dashboard addressing a specific area of interest within the

healthcare domain. Analyze the dashboard data to identify gaps or areas for improvement in

healthcare processes.

Dashboard Development:

Data Selection:

Choose a healthcare-related dataset or datasets aligned with your interests. Data could include

patient outcomes, hospital performance, healthcare costs, claims data, or any other relevant

healthcare metrics.

MGSC 5151 Final Project

Dashboard Design:

Create a visually appealing and user-friendly dashboard using a tool of your choice (e.g., Tableau, Power BI, etc.). Ensure the dashboard provides a holistic view of the chosen healthcare data.

Data Analysis:

Identify Gaps:

Analyze the dashboard data to identify gaps, trends, or areas requiring attention within the healthcare context. Utilize appropriate analytics techniques to derive meaningful insights.

Results Analysis:

Analyze and interpret the results obtained from the dashboard. Discuss any noteworthy findings, patterns, or trends.

MGSC 5151 Final Project

Recommendations:

Based on the dashboard analysis, provide well-founded suggestions and recommendations for improving healthcare processes or addressing identified gaps.

Presentation and Reporting:

Prepare a professional report and presentation summarizing the entire analytics process, findings, recommendations, and the potential impact on healthcare.

Deliverables:

Comprehensive Final Project Report:

A detailed report summarizing the entire project, including findings, recommendations, and the potential impact on healthcare. This report should be in PDF format.

MGSC 5151 Final Project

Data Sources Documentation:

A document outlining the data sources used in the project, providing context, descriptions, and any necessary metadata for the collected data.

Data Analysis and Modeling Artifacts:

This includes the relevant files and materials used for data analysis and modeling, such as data preprocessing scripts, code used for modeling, and any other tools employed. This may be organized into a dedicated folder or file repository.

Final Presentation:

A PowerPoint (PPT) presentation (between 10 and 20 slides) summarizing key project aspects, including objectives, data analysis methods, findings, and actionable recommendations. Additionally, provide a PDF version of the presentation for reference.

MGSC 5151 Final Project

Report Format:

Abstract:

Provide a concise summary of the project, including system requirements at a high level, the proposed model and solution, key results, and noteworthy observations.

Introduction:

Introduce the selected topic of interest, provide a brief literature survey. Clearly outline the problem statement and describe the proposed approach for making recommendations to improve the system.

Data:

Detail the data sources used in the project, explaining their relevance and any data preprocessing steps taken. Include information on data collection, cleaning, and any transformations.

Model:

Explain the analytical models, methodologies, and techniques employed in the project. Discuss the rationale behind the chosen models and how they were implemented.

MGSC 5151 Final Project

Analysis and Findings:

Present the results of the analysis, including data visualizations, insights gained, and any statistical outcomes. Use clear and concise language to communicate the project’s findings.

Conclusions:

Summarize the overall work done, emphasizing the significance of your findings and recommendations. Avoid directly copying more than 10 consecutive words from the body of your report to maintain originality.

References:

Include a list of references used in your project, with a minimum of five sources, including at least two journal papers. Follow a consistent citation style (e.g., APA, MLA, Chicago) for your references.