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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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