Health IT · Clinical Systems · Digital Health

Health IT
Analyst

I bring 10+ years across healthcare spanning payers, hospitals, health tech, and clinical operations. I translate clinical and operational needs into practical technology solutions through clinical systems analysis, requirements, UAT, digital health implementation, healthcare data, and AI.

🏥
Healthcare Experience
10+ yrs · Payers · Hospitals · Health Tech · Clinical Operations
🖥️
Clinical Systems
Epic · Meditech · Clinical Workflows · UAT
🚀
Digital Health
Implementation · Requirements · User Adoption · Salesforce
🧠
Data + AI
SQL · Python · Healthcare Analytics · LLM Evaluation
TaraJee Clarke

Healthcare Experience Meets
Technology

I work at the intersection of healthcare, clinical systems, technology, and data—translating real-world clinical and operational needs into solutions people can actually use.

With 10+ years across payers, hospitals, health tech, clinical operations, and analytics, I understand both the healthcare problem and the technology behind the solution.

My experience spans clinical workflow analysis, EHR systems, requirements gathering, UAT, digital health implementation, healthcare analytics, AI/LLM evaluation, and technology-enabled process improvement.

I have worked with Epic, Meditech, Salesforce, SQL, Python, Snowflake, and healthcare AI/ML technologies, collaborating with clinicians, operations, Data Science, IT, and cross-functional teams.

My focus is Health IT, Clinical Systems, Digital Health, technology implementation, and product/project delivery.

Professional Focus
Health IT · Clinical Systems · Digital Health
Core Capabilities
Requirements · Workflow Analysis · UAT · Implementation
Systems
Epic · Meditech · Salesforce
Technical
SQL · Python · Snowflake · AI/ML
Domain Experience
Payers · Hospitals · Health Tech · Clinical Operations
Leadership
VP, Healthcare Technology Analytics & Innovation
Portfolio

Health IT Solutions Portfolio

Applied projects demonstrating how I use healthcare domain knowledge, clinical data, analytics, AI, and technology to solve real-world healthcare problems.

02
Complete

Drug Interaction ML Classification Pipeline

Developed a machine learning pipeline to classify clinically significant drug-drug interactions using the TwoSIDES pharmacovigilance dataset. Engineered features from adverse event co-occurrence patterns and trained logistic regression and random forest classifiers. Evaluated with AUC-ROC, precision-recall curves, and cross-validation with a focus on minimizing false negatives given clinical risk implications.

100K+
Records Processed
ROC-AUC ~0.69
Model Performance
2 Models
LR + Random Forest
Pythonscikit-learnpandasTwoSIDESLogistic RegressionRandom Forest
03
Complete

Cardiovascular Disease Risk Prediction

Built a cardiovascular disease risk prediction model using logistic regression across three public clinical datasets. Performed data harmonization, missing value imputation, and feature selection to produce a unified modeling dataset. Evaluated model calibration and discrimination across demographic subgroups to assess equity implications of risk score deployment in clinical settings.

3 Datasets
Framingham · UCI · Cardio Train
Cross-validated
Generalizability Test
Equity Analysis
Subgroup Fairness
Pythonscikit-learnpandasLogistic RegressionModel Calibration
04
In Progress

Medicare Claims Data Warehouse & Analytics Pipeline

Built a two-layer PostgreSQL data warehouse on real CMS Medicare claims data, a raw layer where data lands as-is and a clean layer where it's transformed and structured. Wrote a Python pipeline that downloads, cleans, and loads data automatically. Produced ten progressively complex SQL queries covering window functions, CTEs, and PMPM calculations. Final deliverable is a live Looker Studio dashboard with four panels: executive scorecard, PMPM trend, claims by service line, and top high-cost members with date and service line filters.

2-Layer
Raw + Clean Warehouse
PMPM + CTEs
Advanced SQL
Looker Studio
Live Dashboard
PythonpandasPostgreSQLAdvanced SQLLooker StudioCMS Medicare
05
In Progress

Automated Healthcare ETL Pipeline with Orchestration & Monitoring

A fully automated three-stage Prefect pipeline that runs on a schedule — Extract pulls fresh CMS data, Transform applies data quality checks and logs bad records to an error table, Load pushes clean data incrementally into PostgreSQL so only new records are added each run. Includes retry logic for stage failures. A Plotly Dash monitoring dashboard surfaces pipeline run history, records processed per run, error rate over time, and a data quality summary panel.

3-Stage
Extract · Transform · Load
Prefect
Scheduled Orchestration
Dash Monitor
Live Pipeline Health
PythonpandasPrefectPostgreSQLPlotly DashIncremental Load
06
In Progress

End-to-End Healthcare Data Integration Platform on Snowflake

Cloud-native data integration platform on Snowflake with three schemas — raw, staging, and analytics. A Python ingestion script loads CMS data into the raw schema via the Snowflake connector. SQL transformation scripts promote data through staging to analytics, cleaning, joining, and computing metrics at each layer. Snowflake Tasks automate transformations on a schedule. Three live Tableau Public dashboards serve as the front end: an executive scorecard, a clinical operations dashboard, and a payer analytics dashboard.

3-Schema
Raw · Staging · Analytics
Snowflake Tasks
Automated Transforms
3 Dashboards
Executive · Clinical · Payer
SnowflakePythonAdvanced SQLTableau PublicSnowflake TasksCMS Medicare

Health IT Case Studies

Structured analysis of clinical, operational, technology, interoperability, ethics, and digital-health challenges.

Health Informatics & Strategy

Telemedicine as a Health Technology Solution in Jamaica

Examines whether telemedicine can address access, cost, and continuity-of-care challenges in Jamaica particularly for rural and underserved communities while remaining aligned with health informatics principles.

Telemedicine reduces geographic and transportation barriers, with highest impact in rural communities lacking specialist access
Continuity of care for chronic disease (diabetes, CVD) improves with remote monitoring and regular follow-up support
Effective adoption requires interoperable EHRs, digital infrastructure investment, and regulatory framework development
Telemedicine is a policy and change-management challenge as much as a technology one
TelemedicineHealth EquityInteroperabilityEHRCaribbean Health Systems
Health Informatics, Security & Privacy

Strengthening Cybersecurity in Healthcare Facilities

Investigates how healthcare organizations can improve their cybersecurity posture to reduce the risk and impact of cyberattacks while protecting sensitive patient data and maintaining clinical operations.

Phishing, ransomware, and insider threats are the dominant attack vectors often exploiting human behavior over technical gaps
EHR outages from cyberattacks directly delay patient care, making cybersecurity a patient-safety issue, not just an IT concern
NIST Cybersecurity Framework applied to structure recommendations across prevention, detection, response, and recovery
Multi-layered strategy combining access controls, staff training, and incident response planning reduces operational impact
CybersecurityNIST FrameworkPHI ProtectionRansomwareHealthcare IT
Health Informatics, Ethics & Clinical Systems

Profit vs. Care: Ethical Risks in Clinical Decision Support Systems

Examines whether CDSS tools consistently prioritize patient care over financial interests as they become increasingly commercialized with analysis of IBM Watson for Oncology and Epic's sepsis model as real-world failures.

Vendor financial relationships with pharma can shape CDSS algorithms toward high-cost treatments, often without clinician visibility
IBM Watson for Oncology recommended unsafe treatments due to narrow training data and lack of independent validation
Epic's sepsis model raised concerns about high false-alert rates and limited transparency into recommendation logic
Algorithmic transparency, independent audits, and cost-aware recommendations are essential for ethical CDSS design
CDSSResponsible AIAlgorithm TransparencyHealth EthicsClinical Governance
Core Capabilities

Health IT Skills & Technology

Healthcare domain expertise supported by hands-on clinical systems, implementation, analytics, data, and AI capabilities.

Clinical Systems
  • Epic
  • Meditech PDOC
  • Meditech Order Management
  • Salesforce
  • EHR Workflows
  • Clinical Informatics
Business & Product Analysis
  • Requirements Gathering
  • Functional Specifications
  • Business Analysis
  • Stakeholder Discovery
  • Product Requirements
  • Gap Analysis
Implementation & Project
  • User Acceptance Testing (UAT)
  • Workflow Validation
  • User Adoption
  • Go-Live Support
  • Process Improvement
  • Agile / Project Delivery
Healthcare Data & Analytics
  • SQL
  • Python · pandas · NumPy
  • Snowflake · PostgreSQL
  • dbt · Prefect
  • Tableau · Looker Studio · Plotly
  • REST APIs · Data Quality
AI & Emerging Technology
  • LLM Evaluation & AI QA
  • AI Governance
  • Model Validation
  • AI/ML · scikit-learn
  • NLP / Clinical Text
  • Prompt Engineering
Healthcare Domain
  • Clinical Workflow Analysis
  • Digital Health
  • Payer & Claims Operations
  • CMS Medicare / Medicaid Data
  • ICD-10 · CPT · HEDIS
  • HL7 / FHIR Concepts
Experience

Career Timeline

10+ years across healthcare operations, payers, clinical environments, and health technology—evolving into Health IT, clinical systems, digital health, and technology solutions.

Jan 2026 – May 2026
Health Informatics Intern — LLM Quality Assurance
Large Health System · Remote · New York
Evaluated healthcare LLM outputs, identified misclassification patterns, and supported model validation and AI governance. Collaborated across Data Science, IT, and clinical teams to translate healthcare needs into technical requirements.
Sep 2025 – May 2026
Vice President
Graduate Healthcare Technology Organization · New York
Led initiatives connecting graduate students with Health IT, digital health, healthcare analytics, and AI through strategic programming, industry engagement, and interdisciplinary collaboration.
Sep 2025 – Dec 2025
Health Informatics Intern
Hospital & Health System · On-site · New York
Partnered with clinicians to translate workflow needs into requirements and functional specifications. Supported UAT and workflow optimization across Meditech PDOC and Order Management.
Aug 2024 – Sep 2025
Professional Development — Health Informatics
Graduate Study & Applied Portfolio
Pursued an M.S. in Health Informatics while building healthcare analytics, AI/ML, and data solutions using Python, SQL, Snowflake, PostgreSQL, scikit-learn, dbt, Prefect, REST APIs, and HL7/FHIR concepts.
Oct 2023 – May 2024
Data Operations Associate — Payment Investigation
Behavioral Health Technology Company · Remote · New York
Investigated complex healthcare payment issues through data analysis and root-cause investigation, identifying workflow inefficiencies and process improvement opportunities across operations.
May 2023 – Oct 2023
Patient Intake Specialist
Digital Health Company · Remote · New York
Supported patient and clinical workflows in an AI-enabled digital health environment using Epic and Salesforce, including go-live support, user adoption, and health-system implementation activities.
Sep 2021 – May 2023
Practice Operations Coordinator
Medical Practice · On-site · Florida
Coordinated clinical and administrative workflows across patient care, scheduling, documentation, and practice operations while supporting process improvement and patient experience.
Sep 2016 – Jul 2021
Data Operations Analyst — Claims & Risk Management
Insurance & Claims Organization · Hybrid
Analyzed claims and operational data, conducted requirements gathering and gap analysis, and collaborated across business functions to support process and technology improvements, contributing to approximately 15% greater operational efficiency.
Aug 2013 – Sep 2016
Claims Data Associate
Insurance & Claims Organization
Managed and validated claims data, investigated documentation discrepancies, and supported accurate processing, reporting, data quality, and regulated claims operations.
Contact

Let's Work Together

If you're building healthcare technology that needs to work in the real world—from clinical systems and digital health to data and AI—let's connect.