Patient Information Dashboard Using Power BI

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Patient Information Dashboard Using Power BI

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Detail Description

1. Abstract

Healthcare institutions generate a large amount of patient data every day, including admission details, test results, and discharge information. Managing and analysing this data efficiently is essential for improving hospital operations and providing better patient care. Traditional data management systems often store information in multiple files, making it difficult to access and analyse quickly.

This project focuses on developing a Patient Information Dashboard using Power BI to visualize and manage hospital patient data. The dashboard allows doctors and nurses to quickly access patient information such as admission number, admission date, discharge date, age, test results, and medical notes.

The project uses CSV datasets containing master patient data and admission records, which are imported into Power BI using the Import Mode. Data transformation and cleaning are performed using the Power Query Editor, and relationships between tables are created in the Model View. Finally, an interactive dashboard is built in the Report View, allowing healthcare staff to click on a patient's admission number to view detailed medical information.

This project demonstrates how Power BI can be used for healthcare data analysis and visualization, enabling quick decision-making and improved hospital data management.

2. Objectives

The main objectives of this project are:

To understand the importance of data visualization in healthcare management.
To learn how to import datasets into Power BI from CSV files.
To study the difference between Import Mode and Direct Query Mode in Power BI.
To perform data cleaning and transformation using Power Query Editor.
To understand the concept of Fact Tables and Dimension Tables.
To create relationships between tables in the Model View.
To build an interactive patient information dashboard.
To enable doctors and nurses to quickly access patient records and medical details.

3. Existing System

In many hospitals, patient data is stored in separate spreadsheets or manual records, making it difficult to quickly retrieve specific information.

Existing systems typically rely on:

Manual record management
Basic spreadsheet reports
Static data reports without interactive visualization

Limitations of Existing Systems

Difficulty in quickly accessing patient records.
Lack of interactive dashboards for data analysis.
Data stored in multiple files causing data management complexity.
Limited ability to analyse patient test results and hospital statistics.
Increased chances of human errors in manual data handling.

These limitations highlight the need for an advanced data visualization system using Power BI.

4. Proposed System

The proposed system develops an interactive Patient Information Dashboard using Power BI.

In this system:

Patient data is collected in CSV format containing master data and admission records.
Data is imported into Power BI using the Import Mode.
The Power Query Editor is used for data cleaning and transformation.
Relationships between tables are created using primary and foreign keys such as Admission Number.
The dashboard is designed to show:
Patient admission number
Admission date
Discharge date
Patient age
Medical test results
Doctor’s notes
Doctors or nurses can click on an admission number to view detailed patient information.

This system provides a clear, interactive, and easy-to-use hospital data visualization platform.

5. Implementation Procedure

The implementation of this project involves the following steps:

Step 1: Data Collection

Collect patient datasets in CSV format, including:

Master Data (dimension table)
Admission Data (fact table)

Step 2: Data Import

Import the datasets into Power BI using the Import Mode.

Step 3: Data Exploration

View the datasets in the Data View to understand their structure and contents.

Step 4: Data Transformation

Use Power Query Editor to:

Clean the data
Correct data types
Remove inconsistencies
Prepare data for analysis

Step 5: Relationship Creation

Use Model View to create relationships between tables using Admission Number as the key.

Step 6: Data Modeling

Identify:

Fact Table (Admission Data)
Dimension Table (Master Data)

Step 7: Dashboard Development

Design an interactive dashboard in the Report View displaying:

Patient details
Admission information
Medical test results
Doctor’s notes

Step 8: Visualization

Add visual components such as:

Tables
Charts
Filters
Interactive selection features

Step 9: Testing

Test the dashboard by selecting different admission numbers to verify that patient details are displayed correctly.

6. Software Requirements

The software tools required for this project include:

Microsoft Power BI Desktop – Data visualization and dashboard development
Microsoft Excel / CSV files – Data storage
Operating System: Windows 10 or later

7. Hardware Requirements

Minimum hardware requirements include:

Processor: Intel Core i3 or higher
RAM: 4 GB or higher (8 GB recommended)
Storage: 500 MB free space
Computer: Laptop or Desktop
Internet connection (optional for data updates)

8. Advantages of the Project

Provides interactive visualization of hospital patient data.
Allows quick access to patient information using admission numbers.
Improves data management and decision-making in hospitals.
Reduces dependency on manual data records.
Enables efficient monitoring of patient admission and discharge data.
Helps healthcare staff analyse medical records easily.
Demonstrates the practical use of Power BI in healthcare analytics.

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