Anita Patience
Business Intelligence and Data Analyst
Healthcare Clinical Insights | Power BI Dashboard
This Clinical Insights dashboard explores the clinical characteristics of patient encounters, bringing together information on diagnoses, severity, encounter types, vital signs, laboratory results, chronic conditions, procedures, and follow-up patterns.
It helps transform clinical records into a more structured view of patient populations, presenting insights that can support clinical monitoring, healthcare planning, and informed decision-making.
Key areas of analysis include:
Diagnosis Analysis: Identifies the most frequently recorded diagnoses and understand how clinical conditions are distributed across encounters.
Patient Acuity & Severity: Examines the severity of recorded cases and understand the distribution of patients across different acuity levels.
Encounter Types: Explores the different types of healthcare encounters and how clinical activity is distributed.
Vital Signs Analysis: Examine srecorded vital signs to identify patterns and variations across patient encounters.
Laboratory Results: Explores laboratory findings and their distribution across recorded clinical encounters.
Chronic Conditions: Understands the prevalence and distribution of recorded chronic conditions within the patient population.
Procedures & Interventions: Analyses the types and frequency of procedures recorded during encounters.
Admissions & Follow-up: Explores patterns in hospital admissions, follow-up requirements, and continuity of care.
With interactive filters and multiple dimensions of clinical analysis, users can explore specific diagnoses, compare patient groups, and investigate patterns across reporting periods.
The bigger picture: Clinical data holds valuable information beyond individual patient records. When properly organised and analysed, it can help healthcare organisations understand disease patterns, monitor patient acuity, evaluate clinical activity, and identify areas that may require further attention.
Built with Power BI, this dashboard demonstrates how business intelligence can make complex healthcare data more accessible, meaningful, and useful for clinical and administrative decision-making.
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Healthcare Facility & Operations | Power BI Dashboard
How efficiently are healthcare facilities operating, and what explains the differences in their performance?
This dashboard takes a close look at facility-level performance (For a hospital with several branches), exploring patient volumes, waiting times, consultation duration, and operational efficiency across healthcare facilities.
It moves beyond overall healthcare statistics to examine how individual facilities compare, where bottlenecks may exist, and how operational performance changes over time.
Some of the key analyses include:
Average Waiting Time by Facility, Encounter Volume by Facility, Facility Rankings Over Time, Waiting Time vs. Consultation Duration, Facility Performance Comparison, Monthly Operational Trends and more.
Interactive date filters and facility-level analysis make it easier to investigate specific periods, compare facilities, and identify patterns that may otherwise be hidden in summary reports.
The business intelligence perspective: Facility performance is not just about how many patients are served. It is also about how efficiently services are delivered, how resources are utilised, and where improvements may be needed.
Built with Power BI, this dashboard demonstrates how healthcare data can support operational monitoring, facility benchmarking, and more informed management decisions.
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Healthcare Executive Overview | Power BI Dashboard
This Healthcare Executive Overview dashboard brings key healthcare performance indicators into one interactive view, helping management monitor activity, identify trends, and make more informed operational decisions.
The dashboard provides an overview of:
Total Encounters, Unique Patients, Admission Rate, Total Charges, Average Waiting Time and more.
With interactive Year and Month slicers, users can explore performance across different reporting periods, compare trends, and examine results across healthcare facilities.
The goal is simple: turn healthcare data into meaningful insights that support better planning, resource allocation, financial monitoring, and operational decision-making.
Built with Power BI, this dashboard demonstrates how business intelligence can help healthcare administrators move beyond static reports and gain a clearer picture of organizational performance.
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Customer Analytics & Segmentation Report 📊
Having customer data is one thing. Understanding what it tells you about your customers is another.
Customer analytics and segmentation help businesses move beyond total customer counts to understand who their customers are, how they behave, what they buy, and how they contribute to business growth.
A Customer Analytics & Segmentation Report helps answer questions such as:
- Who are our most valuable customers?
- What percentage of our customers are repeat buyers?
- Which customer segments generate the most revenue?
- Are we retaining customers, or are we losing them over time?
- Which customers are likely to return, and which may be at risk of leaving?
- What opportunities exist to improve customer retention, loyalty, and sales?
These insights help businesses identify valuable customer segments, personalize marketing efforts, strengthen customer relationships, and make better decisions about where to focus their resources.
The goal isn't just to understand who your customers are, but to understand their value, behavior, and potential for future growth.
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