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https://github.com/mattdelaune/powerbi_healthcare_dashboard

Interactive Hospital Insights Dashboard built with Power BI, showcasing comprehensive analysis of patient demographics, treatment outcomes, and hospital performance.
https://github.com/mattdelaune/powerbi_healthcare_dashboard

data-analysis healthcare power-bi visualization

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Interactive Hospital Insights Dashboard built with Power BI, showcasing comprehensive analysis of patient demographics, treatment outcomes, and hospital performance.

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README 

        
# Healthcare Insights Dashboard using Power BI



## Executive Summary

This project uses Power BI to analyze hospital data, focusing on patient demographics, treatment outcomes, and costs for 1000 patients and 5 hospitals. The dashboard reveals key insights, such as optimizing treatment costs by focusing on high-recovery, cost-effective treatments and tailoring care based on patient age and gender. These insights support better decision-making, improving both patient outcomes and hospital efficiency.



## Tools and Skills

- **Power BI**: Developed dynamic visualizations and an interactive dashboard.

- **Data Analysis**: Performed in-depth analysis of hospital and patient data to derive meaningful insights.

- **Statistical Analysis**: Applied statistical methods to uncover trends and correlations in the data.

- **Healthcare Domain Expertise**: Interpreted analytical results with a strong understanding of healthcare operations and patient care.



## Dataset

This project utilizes two Excel sheets containing data for 1000 patients and 5 hospitals. The dataset includes:



1. **Patient Information**

- Patient: Unique identifier

- PatientName: Full name

- Age: Age at admission

- Gender: Gender

- Bloodtype: Blood type

- Diagnosis: Primary diagnosis

- Treatment: Administered treatment(s)

- AdmissionDate: Admission date

- DischargeDate: Discharge date

- TotalBill: Total cost of stay

- Full Prescription Details: Medication details

2. **Hospital and Staff Information**

- Patient: Unique identifier

- Hospital: Name of hospital

- DoctorName: Attending doctor

- RoomNumber: Room number

- DailyCost: Daily cost of stay

- Treatment: Administered treatment(s)

- RecoveryRating: Patient's recovery rating



This dataset provides key insights into patient care, hospital operations, and financial data.



## Business Question

**"How can the hospital optimize treatment costs while maintaining or improving patient recovery outcomes across different age groups and treatment types?"**



## Key Insights and Recommendations

1. **Cost Analysis Across Treatment Types:**

- **Observation:** Surgery incurs the highest average costs per patient.

- **Actionable Insight:** Consider alternative treatments like physical therapy or medication for applicable conditions, as these may reduce costs while maintaining effectiveness.



2. **Treatment Costs vs. Recovery Rating:**

- **Observation:** Surgery, while expensive, does not always correlate with the highest recovery ratings.

- **Actionable Insight:** Increase focus on treatments such as counseling, which demonstrate high recovery ratings and lower costs, to optimize both patient outcomes and financial efficiency.



3. **Age Group Analysis:**

- **Observation:** Recovery rating variability is highest among seniors, indicating that different age groups respond differently to treatments.

- **Actionable Insight:** Tailor treatment plans based on age-specific recovery data to allocate resources more effectively and improve outcomes across all age groups.



4. **Trends in Patient Admissions Over Time:**

- **Observation:** Peak admission months correlate with specific diagnoses.

- **Actionable Insight:** Use admission trends to better manage resources during high-demand periods, optimizing both patient care and operational efficiency.



## Stakeholder Recommended Next Steps by Priority



### High Priority



**1. Optimize Treatment Plans Based on Recovery Ratings and Costs**

- **Action:** Increase focus on cost-effective treatments with high recovery ratings to enhance both patient outcomes and financial efficiency.

- **Specific Steps:**

  - Prioritize treatments such as counseling over surgery where applicable, as counseling shows high recovery ratings at a lower cost.

  - Conduct a comprehensive review of current treatment protocols to identify opportunities for substituting high-cost, low-recovery treatments with more effective alternatives like physical therapy or medication.



**2. Tailor Treatment Plans for Seniors Based on Age-Specific Data**

- **Action:** Develop age-specific treatment plans to improve recovery outcomes, particularly for seniors who show the highest variability in recovery ratings.

- **Specific Steps:**

  - Analyze recovery data segmented by age group to identify the most effective treatments for seniors.

  - Implement targeted interventions for senior patients, adjusting treatment protocols to better align with age-related recovery patterns.



### Medium Priority



**3. Use Admission Trends to Optimize Resource Allocation**

- **Action:** Leverage patient admission trends to improve resource management during peak periods, ensuring optimal patient care and operational efficiency.

- **Specific Steps:**

  - Monitor admission data to identify months with peak admissions for specific diagnoses.

  - Adjust staffing levels, bed availability, and supply inventory in anticipation of these high-demand periods to prevent resource shortages.



### Low Priority



**4. Explore Alternative Treatments to Surgery**

- **Action:** Consider alternative, less expensive treatments like physical therapy or medication for conditions where surgery is currently used but may not be the most cost-effective option.

- **Specific Steps:**

  - Pilot alternative treatment programs for conditions typically treated with surgery, comparing outcomes and costs to existing protocols.

  - Gather data from these pilots to inform broader adoption of more cost-effective treatment strategies across the hospital.



## Dashboard Screenshot



![Hospital Insights Dashboard](dashboard.png)



Theme credit to www.datapears.com!