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Expertise in Informatics:
Reker Moma

Mission: Professionally Connecting Bedside Nursing Practice and Research with Information and Data Analytic Intelligence Innovation to Promote Positive Patient Outcomes

About Me:

A dedicated Health Informatics Professional with a strong commitment to transforming healthcare through technology and innovation. With an MSN in Informatics, BSN, and ADN, complemented by specialized training in SQL, Python, and UX/UI design, I bring a unique blend of clinical and technical expertise. My experience as a Registered Nurse across leading hospitals has strengthened my skills in Electronic Health Record management, data-driven workflow optimization, and interdisciplinary collaboration. I am passionate about leveraging artificial intelligence, data analytics, and user-centered design to create smarter, more efficient healthcare systems that enhance patient safety, streamline clinical operations, and improve overall outcomes.

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Education:

• Master of Science in Nursing (Informatics), Magna Cum Laude, GPA 4.8 – Post University


• Bachelor of Science in Nursing, Magna Cum Laude, GPA 4.7 – American Sentinel University


• Associate Degree in Nursing – Oklahoma City Community College


• Bachelor of Science in Chemical Dependency Counseling – University of North Texas


• Specialized training in SQL, Python, and UX/UI Design for Healthcare Systems

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Ascension Seton Medical Center – Austin, TX
Registered Nurse, Medical-Surgical ICU (Feb 2024 – Oct 2025)

  • Delivered advanced critical care to high-acuity patients requiring ventilatory, cardiac, and hemodynamic support.

  • Utilized EMR analytics dashboards to monitor data trends and detect early deterioration risks.

  • Led a barcode validation project reducing medication errors by 15%.

  • Streamlined charting workflows and reduced documentation redundancy through interdisciplinary collaboration.

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Medical City Heart & Spine – Dallas, TX
Registered Nurse, Cardiac Step-Down Informatics Integration (Feb 2023 – Feb 2024)

  • Transitioned cardiac telemetry workflows to digital systems, improving alarm response time by 20%.

  • Partnered with IT teams to test EHR updates and ensure cardiac data accuracy.

  • Analyzed telemetry data for early anomaly detection and clinical decision support.

  • Trained staff on informatics tools and digital documentation best practices.

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Oklahoma City Community College – Oklahoma City, OK
Clinical Informatics Assistant / Adjunct Clinical Nursing Faculty (Jan 2023 – Jan 2024)

  • Assisted in developing informatics-based curriculum and simulation activities.

  • Provided EMR training and data interpretation guidance for nursing students.

  • Analyzed course data to optimize learning outcomes and curriculum quality.

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American Sentinel University – Waterbury, CT
Graduate Teaching Intern (Aug 2023 – Aug 2024)

  • Supported graduate instruction in healthcare data science and analytics.

  • Helped design learning analytics dashboards to track student engagement.

  • Contributed to visualization models improving academic delivery efficiency.

Work History:

Projects:

  • EHR Optimization & Workflow Redesign – Led a data-driven analysis of clinical documentation patterns to streamline workflows, reduce redundancy, and improve accuracy of bedside charting across multi-unit hospital systems.

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  • Clinical Decision Support Integration – Collaborated with IT and clinical teams to embed evidence-based alerts and medication interaction checks into Epic, improving care response times and reducing adverse events.

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  • Predictive Analytics for ICU Outcomes – Built nursing dashboards using Power BI and Tableau to visualize patient acuity trends and predict deterioration risks based on vitals and lab correlations.

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  • Data Quality & Interoperability Initiative – Partnered with the HIM department to assess and correct data inconsistencies between EHR modules and external lab interfaces, enhancing interoperability and data exchange reliability.

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  • Flagship Project: 24/7FIT – AI-Powered Fitness Informatics Platform

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  • Co-founded and led development of 24/7FIT, an AI-driven platform integrating live virtual fitness training, nutrition planning, and data analytics.

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  • Designed the Comprehensive Fitness Panel, using AI to generate personalized workout and nutrition plans based on user metrics.

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  • Applied SQL and informatics principles to analyze engagement data and optimize user outcomes.

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  • Integrated UX/UI and evidence-based design to enhance usability and promote healthy behavior change.

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  • Demonstrated the potential of merging healthcare informatics, AI, and lifestyle technology to improve wellness and disease prevention.

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