Aniekan Joshua Ibanga
Chicago,IL
Summary
I am currently pursuing a career as a clinical informaticist (MD, MS-HI candidate). As a clinician-researcher and AI practitioner, I serve as a bridge between clinical workflow, health IT, and evidence-based practice. As a published author in Endocrine Practice, I have accumulated over three years of direct patient assessment experience, completed graduate training in health informatics, and am currently serving as an AI trainer at Handshake. I received formal training in project management from Johns Hopkins University. I am eager to apply my diagnostic reasoning, research acumen, and applied AI expertise to support Insight Hospital's mission of providing high-quality, data-driven patient care.
Overview
7
7
years of professional experience
1
1
Certification
Work History
AI Trainer
Handshake
02.2026 - Current
- Design and optimize prompt engineering workflows to train AI models on complex professional and technical content.
- Develop agentic workflows and subagent architectures to improve model performance in real-world scenarios.
- Apply AI evaluation frameworks and guardrails to validate model outputs—directly transferable to clinical decision support validation.
- Remote
Nursing Assistant
Harmony Care Homes
Chicago, IL
01.2022 - 02.2024
- Monitored longitudinal patient data (vitals, behavioral changes), identifying early warning signs of deterioration.
- Collaborated on care plan updates, reinforcing the link between clinical workflow and data capture.
Clinical Clerkship (MD Training)
Milton Cato Memorial Hospital
01.2019 - 01.2022
- Conducted comprehensive patient histories and exams, synthesizing data for differential diagnoses—foundation of clinical decision support logic.
- Assisted in structured procedures mirroring process flow development and change management principles.
- Authored SOAP notes in EMR systems, mastering structured clinical data entry and documentation templates.
- St. Vincent
Education
M.S. - Health Informatics
Roosevelt University
Chicago, IL05-2027
Doctor of Medicine (M.D.) - undefined
American University of St. Vincent
03-2022
Skills
- Clinical Informatics: Workflow Analysis & Redesign, Clinical Decision Support (CDS), Order Set Development, Documentation Templates, EMR/EHR (Epic, Cerner), User Validation Testing, Process Gap Analysis
- Clinical & Research: Differential Diagnosis, Randomized Controlled Trials, SOAP Documentation, Regulatory Compliance (ICD-10), Quality Improvement, Patient Safety, Evidence-Based Medicine
- AI/ML & Data: Prompt Engineering, LLM Agentic Workflows, Python (Pandas, Scikit-learn), SQL, R, Tableau, AI Evaluation Frameworks, Predictive Analytics
- Project Leadership: Advanced Project Management, Change Management, Stakeholder Engagement, PDCA Methodology, Project Planning, Cross-functional Communication
- Teamwork
- Teamwork and collaboration
- Problem-solving
- Time management
Certification
- Medical Billing & Coding Certificate | Computer Systems Institute | Mar 2024 – Mar 2025
- Advanced Project Management and Leadership | Johns Hopkins University | Nov 2025 | ID: DSRQ4HUJMEXD
- Project Management and Planning | Johns Hopkins University | Nov 2025 | ID: 6X9X5FXA7S04
Timeline
AI Trainer
Handshake
02.2026 - Current
Nursing Assistant
Harmony Care Homes
01.2022 - 02.2024
Clinical Clerkship (MD Training)
Milton Cato Memorial Hospital
01.2019 - 01.2022
Doctor of Medicine (M.D.) - undefined
American University of St. Vincent
M.S. - Health Informatics
Roosevelt University
PEER-REVIEWED RESEARCH
Empowering Diabetes Care Through Pharmacist-Led Education: A Randomized Controlled Trial in a Low-Resource Setting | Endocrine Practice | June 2025. DOI: 10.1016/j.eprac.2025.06.022
- Contributed clinical expertise and diagnostic reasoning to a randomized controlled trial investigating pharmacist-led education on diabetes outcomes in a low-resource setting.
- Collaborated with a multi-disciplinary team (Pharmacy, Public Health, Medicine) on data analysis and interpretation.
- Relevance: Demonstrates advanced competency in clinical research methodology, data analysis, and evidence-based practice—directly supporting quality improvement and regulatory compliance initiatives.