Are you a seasoned Clinical Data Abstractor seeking a new career path? Discover our professionally built Clinical Data Abstractor Resume Template. This time-saving tool provides a solid foundation for your job search. Simply click “Edit Resume” to customize it with your unique experiences and achievements. Customize fonts and colors to match your personal style and increase your chances of landing your dream job. Explore more Resume Templates for additional options.
Brady Kennedy
Clinical Data Abstractor
Summary
Experienced Clinical Data Abstractor with a proven track record of success in abstracting and de-identifying patient medical records. Possesses strong medical terminology knowledge and experience collaborating with healthcare professionals to ensure data accuracy and completeness. Committed to adhering to GCP guidelines and regulatory standards for data abstraction.
Education
Bachelor’s Degree in Health Science
April 2015
Skills
- Medical Terminology
- Electronic Health Records (EHR) Systems
- Data Abstraction Guidelines
- Clinical Research Terminology (MedDRA, SNOMED CT)
- Regulatory Compliance (FDA, HIPAA)
- Attention to Detail
Work Experience
Clinical Data Abstractor
- Adhered to strict data privacy and security protocols to protect patient confidentiality.
- Followed Good Clinical Practice (GCP) guidelines and regulatory standards for data abstraction.
- Abstracted data from various sources, including paper charts, electronic medical records, and patient interviews.
- Used statistical software and data analysis tools to analyze abstracted data and identify trends or patterns.
Clinical Data Abstractor
- Abstracted and deidentified patient medical records, including demographics, medical history, lab results, and treatment plans, to prepare datasets for clinical research.
- Conducted data quality checks and performed data validation to ensure the accuracy and completeness of abstracted data.
- Utilized electronic health records (EHR) systems and clinical data management software to extract and analyze patient data.
- Collaborated with healthcare professionals to resolve discrepancies and clarify medical terminology in abstracted data.
Accomplishments
- Successfully abstracted and validated over 10,000 medical records, ensuring data accuracy and integrity for clinical trials
- Developed and implemented a new data abstraction workflow that reduced data abstraction time by 20%
- Trained and mentored a team of clinical data abstractors, fostering professional growth and ensuring compliance with data abstraction standards
- Identified and corrected data discrepancies in clinical trial database, resulting in improved data quality and reduced risk of data loss
- Developed and presented a best practice guide on clinical data abstraction to the clinical research team
Awards
- Recognized by the Society of Clinical Data Management for Outstanding Contributions to Clinical Data Abstraction
- Received the Excellence Award for Clinical Data Quality at the annual industry conference
- Acknowledged for exceptional performance in data abstraction by the sponsor of a Phase III clinical trial
- Honored as a subject matter expert in clinical data abstraction at an industry workshop
Certificates
- Certified Clinical Data Abstractor (CCDA)
- Registered Health Information Technician (RHIT)
- Certified Professional Coder (CPC)
- Certified Coding Associate (CCA)
Career Expert Tips:
- Select the ideal resume template to showcase your professional experience effectively.
- Master the art of resume writing to highlight your unique qualifications and achievements.
- Explore expertly crafted resume samples for inspiration and best practices.
- Build your best resume for free this new year with ResumeGemini. Enjoy exclusive discounts on ATS optimized resume templates.
How To Write Resume For Clinical Data Abstractor
- Highlight your medical terminology knowledge and experience using relevant keywords.
- Quantify your accomplishments whenever possible to demonstrate the impact of your work.
- Showcase your ability to adhere to GCP guidelines and regulatory standards.
- Emphasize your experience using electronic health records (EHR) systems and clinical data management software.
- Proofread your resume carefully for any errors.
Essential Experience Highlights for a Strong Clinical Data Abstractor Resume
- Abstracted and de-identified patient medical records, including demographics, medical history, lab results, and treatment plans, to prepare datasets for clinical research.
- Conducted data quality checks and performed data validation to ensure the accuracy and completeness of abstracted data.
- Utilized electronic health records (EHR) systems and clinical data management software to extract and analyze patient data.
- Collaborated with healthcare professionals to resolve discrepancies and clarify medical terminology in abstracted data.
- Adhered to strict data privacy and security protocols to protect patient confidentiality.
- Followed Good Clinical Practice (GCP) guidelines and regulatory standards for data abstraction.
- Abstracted data from various sources, including paper charts, electronic medical records, and patient interviews.
Frequently Asked Questions (FAQ’s) For Clinical Data Abstractor
What are the key skills required for a Clinical Data Abstractor?
Key skills include medical terminology, electronic health records (EHR) systems, data abstraction guidelines, clinical research terminology (MedDRA, SNOMED CT), regulatory compliance (FDA, HIPAA), and attention to detail.
What are the primary responsibilities of a Clinical Data Abstractor?
Responsibilities include abstracting and de-identifying patient medical records, conducting data quality checks, utilizing EHR systems and clinical data management software, collaborating with healthcare professionals, adhering to data privacy and security protocols, following GCP guidelines, and abstracting data from various sources.
What is the expected salary range for a Clinical Data Abstractor?
Salary expectations can vary depending on experience, location, and company size. According to Indeed, the average salary for a Clinical Data Abstractor in the United States is around $62,000 per year.
What are the growth opportunities for a Clinical Data Abstractor?
With experience, Clinical Data Abstractors can advance to roles such as Clinical Research Associate, Data Manager, or Project Manager in the clinical research industry.
What are some tips for writing a standout Clinical Data Abstractor resume?
Tips include highlighting relevant skills and experience, quantifying accomplishments, demonstrating adherence to GCP guidelines, showcasing experience with EHR systems, and proofreading carefully.
What are the educational requirements for a Clinical Data Abstractor?
While there is no specific degree requirement, many Clinical Data Abstractors hold a bachelor’s degree in health science, nursing, or a related field.
What are the job prospects for a Clinical Data Abstractor?
Job prospects are expected to be favorable as the demand for clinical research data continues to grow.