What are the responsibilities and job description for the Data Abstractor - Full-Time Temporary position at Osceola Medical Center?
Job Description
Job Description
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.
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