A five-course series completed through Johns Hopkins University, as part of their Specialization in Health Informatics. This program explores the socio-technical, organizational, and analytical foundations of digital transformation in healthcare.
A modular Clinical Decision Support (CDS) platform designed to simulate ICU decision-making using real de-identified EHR from MIMIC-IV. The project integrates:
- FHIR-compatible patient records
- Drools rulesets for baseline recommendations
- A/B testing against GenAI inference modules
- Fairness audits by gender, race, and age
- Explainability via SHAP visualizations
- HIPAA-aware architecture with full transparency
Modules use structured JSON files to represent patient records, rulesets, and explainability outputs. SHAP-based insights and model card principles ensure interpretability, fairness, and transparency throughout the CDS pipeline.
- Social & Technical Context of Health Informatics
Informatics stack, stakeholder analysis, HIT systems thinking - Leading Change in Health Informatics
Process improvement, resistance management, team alignment - Outcomes & Interventions of Health Informatics
Decision support frameworks, logic rules, knowledge design - Data Science of Health Informatics
Querying patient data, structured/unstructured formats, big data tools - Culminating Project in Health Informatics
Designed & implemented an end-to-end CDS platform with MIMIC-IV
- Clinical Decision Support System (CDS) Design
- FHIR Integration & Health Data Modeling
- SHAP Explainability & Fairness Audits
- A/B Testing & Recommendation Systems
- HIPAA-Compliant Workflows & Data Ethics