Tania V.

Key Skills

Software

No software listed

Top Subject Matter

Clinical AI for medical documentation and patient/administrative communications

Evidence retrieval and summarization for clinical decision support and education

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Text Summarization

Freelancer Overview

Founder & Medical Director (Velez Family Health) — integrated and evaluated physician-reviewed AI outputs for healthcare. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include ChatGPT, Google AI, and Atlas.md AI. Education includes Fellowship, University of Arizona Center for Integrative Medicine and Family Medicine Residency, Florida Hospital. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Text Summarization.

Labeling Experience

Ongoing clinical AI integration (evidence retrieval, synthesis, and summarization with independent verification)

TextText Summarization

Used AI to transform unstructured clinical and administrative inputs into structured, clinician-reviewed summaries and patient-facing communications. Independently verified evidence-based recommendations produced through AI-assisted brainstorming, evidence retrieval, and research synthesis. Ensured information quality through independent verification before recommendations were applied in care or education.• Produced patient chart summaries and after-visit summaries with physician review • Performed AI-assisted clinical brainstorming, evidence retrieval, and literature review • Synthesized research findings while independently verifying recommendations • Streamlined communication artifacts for clinical and educational use

2015 - Present

Founder & Medical Director (Velez Family Health) — integrated and evaluated physician-reviewed AI outputs for healthcare documentation and correspondence

Text

Integrated generative AI assistance into clinical documentation workflows with physician oversight, refining outputs such as visit notes, chart summaries, and after-visit summaries. Performed quality checks on AI-generated clinical content to ensure clinical accuracy, safety, completeness, and relevance prior to use. Applied AI to draft and refine medical correspondence and administrative documents requiring physician review and final approval.• Generated and refined AI-assisted visit notes and patient chart summaries with final physician approval • Evaluated AI outputs for clinical accuracy, safety, completeness, and relevance • Drafted letters of medical necessity and related clinical correspondence • Created personalized patient education materials and educational resources using AI

2015 - Present

Education

Work History