Holistic Hospital Performance Analysis: A Comprehensive Report

I am delighted to share my experience of creating a comprehensive analytical project using the combined power of Excel, Power Query, and Power BI. This endeavor allowed me to transform raw data into insightful visualizations, empowering decision-makers to gain valuable insights and make informed choices.

Objective: The primary objective of this project was to conduct a comprehensive analysis and presentation of a hospital's performance, focusing on key metrics and insights for the time frame spanning from October 2015 to October 2016. The ultimate aim was to offer valuable and data-driven insights to stakeholders, enabling informed decision-making.

Data Source: The data utilized for this project was sourced from an online source and meticulously cleansed and structured using Excel. Additionally, Power Query was employed to further enhance data quality and transform it into a suitable format for analysis.

Data Visualization Tool: The robust and industry-standard Power BI was utilized as the data visualization tool, ensuring the creation of interactive and visually compelling reports.

Data Modeling and Relationships: The report meticulously established and maintained appropriate data relationships in Power BI, ensuring the accuracy and reliability of data visualization and interaction across various visualizations.

DAX Measures: The project leveraged Data Analysis Expressions (DAX) to create calculated measures, enabling advanced analytics and further enriching insights.

Custom Tooltips: The report incorporated custom tooltips to enhance user experience, offering context-rich details when interacting with data points.

Slicer for Time Period: Each page featured a user-friendly slicer, empowering users to filter data based on specific time ranges and thereby gaining more focused and actionable insights.

Report Structure:

1. Summary Page: The project commenced with a high-level summary page, serving as a comprehensive overview and an intuitive navigation hub. This page encapsulated essential key performance metrics, providing stakeholders with a succinct understanding of the hospital's performance during the specified period. Additionally, the summary page featured hyperlinks directing users to more detailed visualizations across other pages.

2. Revenue Analysis:

• Sponsorship and Department-wise Revenue: This section presented interactive visualizations showcasing the contributions from various sponsors and departments, offering valuable insights into major revenue sources and areas with potential for improvement.

• Average Revenue Per Patient (ARPP): Through visually appealing card, this highlight the hospital's revenue generation per patient.

3. Census Analysis:

• Age and Gender-wise Census: This section featured visualizations providing an in-depth analysis of patient distribution based on age, gender, and geographical location.

4. Length of Stay (LOS) Analysis:

• Ward-wise LOS: An array of visualizations were meticulously presented to analyze the length of stay for patients in different wards, effectively identifying potential efficiency concerns in specific areas.

• Monthly LOS Trends: Dynamic visualizations accurately illustrated the length of stay trends over the months, offering invaluable insights into the hospital's overall performance in managing patient stays.

5. Consultant Performance:

• Total Cases and Average LOS by Specialties and Consultants: Interactive visualizations showcased the number of cases handled by each specialty and consultant, along with their average Length of Stay. These analytical tools facilitated an assessment of consultant efficiency and patient care.

6. Sponsor Analysis:

• Total Credit and Cash Cases: This segment utilized visually enriched charts to track the number of credit and cash cases, providing significant insights into the hospital's payment modes.

• Monthly Changes in Sponsorship: Visualizations in this section allowed stakeholders to effectively monitor changes in sponsorship patterns over time.

7. Bed Occupancy Analysis:

• Ward-wise Bed Occupancy: Through insightful visualizations, this section offered a comprehensive view of the occupancy rates in different wards, identifying areas of higher demand.

• Revenue & Census Trend over time: This segment presented a correlation between revenue & Census and the months and quarter trends, providing valuable insights into their inter-dependency.

Data Interpretation and Insights:

1. The Cardiology department emerged as the highest revenue generator, while the Neurosurgery department contributed significantly to cash revenue, thus bolstering the hospital's liquidity.

2. Remarkably, one-third of the patients fell within the age group of 60-80, necessitating the hospital to offer geriatric-friendly services and tailored care to cater to their specific needs of old age patients.

3. The hospital's catchment area predominantly lies in the Mithlanchal region of Bihar, with additional patients arriving from neighboring countries such as Nepal and Bangladesh.

4. Notably, the Cardiology department exhibited a below-average Length of Stay (LOS) of 2.65, indicating a commendable patient flow turnover. This efficient turnover contributed to an upsurge in revenue for the department.

5. A significant proportion, approximately 70%, of the patients is of credit cases. To achieve a balanced financial approach, efforts should be directed towards increasing the proportion of cash cases.

6. An intriguing finding from the report is the high positive correlation between revenue and census. This suggests that an increase in patient flow directly correlates with heightened revenue, emphasizing the impact of patient influx on financial outcomes.

By effectively utilizing these insights, the hospital can strategize and implement targeted improvements in various departments and services. Emphasizing the significance of providing specialized care for geriatric patients and enhancing the balance between credit and cash cases could substantially improve the hospital's financial health and overall performance. Moreover, understanding the patient demographics and the catchment area can aid in tailoring marketing efforts and attracting a more diverse patient population. The report showcases the hospital's strengths and provides valuable directions for growth and optimization, positioning the institution to thrive in the competitive healthcare landscape.