Privacy, Security & Analytics
HIPAA Privacy & Security Incident Intelligence Platform
A centralized analytics and incident-management solution designed to transform fragmented privacy and security data into actionable risk intelligence for healthcare leadership.
The Business Problem
Privacy and security incident information is frequently scattered across intake forms, spreadsheets and investigation notes, making it difficult for leadership to see patterns, risk and corrective-action progress.
The Vision
One governed source of incident intelligence: intake, classification, investigation status, root causes and trends — presented as risk insight leaders can act on.
My Role
Challenges
The Solution
Detailed solution narrative in development.
Inside the Solution
Behind the Build
A polished interface is only the visible layer. This section shows the data, architecture, engineering and design decisions behind the finished solution.
Solution Architecture
- 1Source Systems
- 2Data Ingestion
- 3SQL / Python / ETL
- 4Databricks / Microsoft Fabric
- 5Data Model / Semantic Layer
- 6Power BI / Application
- 7Leadership / Operations / Clinical Users
Technology Stack
Business Intelligence
- Power BI
Programming
- SQL
- Python
AI
- AI Classification — Incident categorization
Security
- RBAC
- Data Governance
Security, Privacy & Governance
Healthcare and AI solutions require more than functionality. They require deliberate attention to privacy, security, access, governance and responsible use.
Designed using HIPAA-aligned privacy and security principles.
Testing & Data Quality
- Business-rule testing
- Duplicate detection
- Null validation
Outcome
Demonstrated / Simulated Outcome
Outcome documentation is in progress. Results will be published here once validated against the demonstration dataset.
What I Would Build Next
- Automated corrective-action tracking
- Trend-based early-warning alerts
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