Data Abstractor - Full-Time Temporary

As a Data Abstractor, you will play a crucial role in extracting and summarizing relevant information from various sources and organizing it into a structured format. You will contribute to the collection and analysis of data to support decision-making and operations within the organization. Your attention to detail and ability to accurately abstract data will be essential in ensuring the quality and reliability of our data-driven initiatives.

Typical Schedule

Monday through Friday 8:00 AM - 4:30 PM

Qualifications

• High School diploma or GED, required.
• A degree in a healthcare field, preferred.
• Prior healthcare data abstraction experience, required.

Responsibilities Include:

• Collect and abstract data from diverse sources, including databases, documents, websites, and other repositories.
• Conduct thorough reviews of abstracted data to ensure accuracy, consistency, and completeness, making necessary corrections and adjustments as needed.
• Maintain detailed and organized records of the data abstraction process, documenting sources, methods, and any potential discrepancies or issues encountered during the abstraction.
• Assist in identifying and resolving data discrepancies, duplications, or inaccuracies to maintain data integrity and reliability.
• Summarize and compile abstracted data into meaningful reports, dashboards, or visualizations to aid in data analysis and decision-making processes.
• Collaborate with cross-functional teams, including data analysts, researchers, and project managers, to ensure that the abstracted data meets project objectives and requirements.
• Suggest improvements to the data abstraction process, guidelines, and tools to enhance efficiency, accuracy, and productivity.
• Ensure compliance with relevant data privacy and security regulations while handling and processing sensitive data.

Knowledge, Skills & Abilities

• Demonstrates OMC's behavioral standards and values in daily work.
• Proven experience in data abstraction, data entry, or a similar role, preferably in a healthcare, research, or analytical environment.
• Strong analytical and critical thinking skills with exceptional attention to detail.
• Familiarity with data management systems, tools, and techniques.
• Proficiency in using data analysis software and tools (e.g., Microsoft Excel, SQL, Python) is a plus.
• Excellent communication skills, both written and verbal, to effectively interact with team members and stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment, managing multiple tasks and priorities effectively.
• Understanding of data privacy regulations (e.g., GDPR, HIPAA) and commitment to maintaining confidentiality and data security.
• Adaptability and willingness to learn and adopt new technologies and methodologies in the field of data abstraction.