Analytics Report

This report analyzes patient data across several key dimensions, including gender distribution in specific medical conditions, blood group distribution among emergency patients, age distribution of emergency patients, and billing amount distribution across hospitals. The data reveals nuanced patterns that can inform healthcare management and resource allocation. A total of 100 hospitals were analyzed, with a focus on understanding the financial and demographic aspects of patient care. The analysis of cancer and asthma patients by gender indicates a near-equal distribution of cancer cases between males and females, while asthma cases are slightly more prevalent among males. Emergency patient data shows a varied distribution of blood groups, with A+ being the most common. The age distribution of emergency patients reveals a higher incidence among younger adults, particularly those around 18 to 20 years old. Billing amount analysis across hospitals highlights significant variability, with some hospitals showing high average billing amounts, although these averages are often based on limited data entries. Sons Rich and has the highest average billing at $50,119.22. These findings underscore the importance of considering data volume when interpreting average billing amounts. Overall, the report provides a comprehensive overview of patient demographics, medical conditions, and financial aspects, offering valuable insights for healthcare providers and administrators. The suggested next queries at the end of each section aim to further refine the analysis and uncover additional patterns and relationships within the data.

We found the number of male and female patients diagnosed with cancer and asthma:

• Female Patients:
  • Asthma: 8 patients
  • Cancer: 11 patients
• Male Patients:
  • Asthma: 9 patients
  • Cancer: 11 patients

The counts of male and female patients with cancer and asthma show that:

• Female patients: 19 total (8 with asthma and 11 with cancer)
• Male patients: 20 total (9 with asthma and 11 with cancer)

What's fascinating here is the near-equal distribution of patients with cancer (11 males and 11 females) while the number of females with asthma (8) is slightly lower than their male counterparts (9).

Key Metrics:

• Total Female Patients: 19
• Total Male Patients: 20
• Female Patients with Cancer: 11
• Female Patients with Asthma: 8
• Male Patients with Cancer: 11
• Male Patients with Asthma: 9

We have a total of 8 different blood groups represented among emergency patients. The breakdown is as follows:

• A+ : 8 patients
• A- : 6 patients
• B- : 5 patients
• O- : 3 patients
• O+ : 3 patients
• AB- : 3 patients
• AB+ : 3 patients
• B+ : 3 patients

This chart gives a clear visual representation of the different blood groups among emergency patients. It's fascinating to see how varied the distribution is, especially with A+ leading the count.

Key Metrics Dashboard

• A+ : 8 patients - Largest group
• A- : 6 patients - Second largest
• B- : 5 patients - Notable representation
• O-, O+, AB-, AB+, B+ : 3 patients each - Minor groups

Age Distribution Overview

The dataset returned 27 unique age groups among emergency patients. The age distribution is varied, displaying a range of admissions. Here's a glance at the first few groups:

• Ages 18 and 20 both have 2 patients .
• Single patients are represented at ages 21, 23, 24, 26, 31, 33, and 34.
• The age group 30 also has 2 patients .

What's fascinating here is that younger age groups, particularly those around 18 to 20 years old, show a notable number of emergency admissions compared to those at older ages. This could indicate trends in young adults facing emergency medical conditions.

Key Metrics Dashboard

• Total Age Groups : 27
• Most Frequent Ages : 18, 20 (2 patients each)
• Single Admissions : 21, 23, 24, 26, 31, 33, 34 (1 patient each)

Insights from the Billing Amounts

The data reveals a diverse range of average billing amounts for different hospitals, highlighting some interesting trends:

1. Top Hospital by Billing Amounts :
   • Sons Rich and has the highest average billing at $50,119.22 . This hospital uniquely has only one billing entry.
2. Close Contenders :
   • Following closely is PLC Young with an average billing of $49,943.28 , also with just one entry.
   • Bullock-Ramsey comes next at $49,402.30 , again with a single billing record.
3. General Trends :
   • Most hospitals in the data show single occurrences for billing, leading to individual high averages. For instance, Moss and Ferguson, Baker averages $48,407.39 and Nunez-Humphrey at $48,145.11 .

What's fascinating here is that while some hospitals display high average billing amounts, this could be skewed due to limited data entries per hospital.

This chart illustrates the average billing amounts for each hospital. The data indicates some significant patterns, but the high averages must be interpreted with caution due to the one-entry phenomenon.

Key Metrics Dashboard

• Highest Average Billing
  • $50,119.22 for Sons Rich and — This indicates potential premium services or unique cases.
• Number of Hospitals Tracked
  • 100 hospitals were included in the analysis, showcasing a range of service providers.
• Lowest Average Billing Noted
  • Hospital billing data could be quite varied, with some entries at the minimum limit based on the dataset.

The analysis of patient data reveals several key areas for potential improvement and further investigation. Firstly, the near-equal distribution of cancer cases between males and females, coupled with the slightly higher prevalence of asthma among males, suggests a need for targeted prevention and treatment strategies tailored to each gender. Further research into the underlying factors contributing to these differences could inform more effective healthcare interventions. Secondly, the varied distribution of blood groups among emergency patients, with A+ being the most common, highlights the importance of maintaining adequate blood supply inventories to meet the diverse needs of the patient population. Hospitals should ensure sufficient resources are available to handle emergencies involving patients with less common blood types. Thirdly, the higher incidence of emergency admissions among younger adults (18-20 years old) warrants further investigation into the specific medical conditions and risk factors affecting this age group. Targeted health education and prevention programs could help reduce the number of emergency cases among young adults. Finally, the variability in billing amounts across hospitals, with some showing high averages based on limited data, underscores the need for standardized billing practices and transparent pricing. Further analysis of the factors contributing to these billing differences could help identify opportunities for cost reduction and improved financial management.