Sondatre T.

About Sondatre T.

I’m a passionate Clinical Case Manager & Analyst with a dual focus on care coordination and clinical informatics—backed by a PhD in Nursing and an MS in Informatics. My mission: drive smarter, more efficient, and patient-centered healthcare.Key achievements: • Led chart documentation audits at UT Physicians, boosting accuracy by 20% and supporting NCQA accreditation. • Served as the go-to Documentation Champion, reducing errors by 15% through peer education. • Managed care plans for ~25 complex patients weekly, increasing follow-up rates by 30%, while facilitating team huddles to align on care goals. • As Clinical Analyst SME at Elsevier, refined clinical taxonomy and QA for 100–150 document tags weekly, enhancing digital tool usability. • At Aledade, applied data‑driven strategies to improve hypertension outcomes, mentoring practice teams and shaping care transformation.Core strengths:Clinical documentation • Care coordination • Data analysis • Clinical taxonomy • Interdisciplinary collaboration • Process optimizationCurrently open to work in roles like Clinical Informatics Specialist, Clinical Case Manager, Nurse Practitioner or Care Coordination Lead—ideally in hybrid/remote or Houston settings. I’m ready to leverage my clinical, research, and analytics background to elevate care delivery.

Experience

1. Clinical Analytics Subject Matter Expert (Sme)

   Elsevier

   Oct 2020 — Present

   Served as a Clinical Analytics Subject Matter Expert, supporting AI and machine learning initiatives by ensuring accurate tagging of clinical content to improve analytics and system performance. Utilized internal clinical guidelines to review and categorize unstructured clinical documentation, applying expertise to accurately identify relevant content across multiple clinical domains.Ensured consistent application of data standards across user interface (UI) products within ACRES and BRAT platforms, contributing to improved content discoverability, usability, and accuracy. Collaborated with cross-functional teams to align tagging methodology with project requirements and AI training objectives.Tracked progress and provided weekly status reports on tagging activities, supporting data integrity, project timelines, and overall quality improvement. Contributed to multiple projects aimed at enhancing AI-driven clinical insights and analytics through precise, standardized content tagging.Key Achievements• Improved content discoverability and accuracy across multiple clinical AI projects• Supported development and optimization of AI tools through expert clinical tagging and documentation review

Education

• Prairie View A&M University

  Master of Science - MS, Nursing Science

  2010 — 2013

• Prairie View A&M University

  Bachelor of Science - BS, Nursing Science

  2005 — 2007

• Texas Woman's University

  Master of Science - MS, Clinical informatics

  2019 — 2022

• Texas Woman's University

  Doctor of Philosophy - PhD, Nursing

  2019

• Houston City College

  Associate of Arts - AA

  2001 — 2004