Clinical data abstraction jobs & Careers




What is a Clinical Data Abstraction Job?

A clinical data abstraction job involves the systematic extraction of relevant clinical data from medical records, such as patient charts, laboratory results, and other healthcare documentation. This information is then used to create comprehensive reports that help healthcare providers deliver better care to patients. A clinical data abstractor works within a healthcare organization or a medical research institution, and is responsible for ensuring that all patient data is accurately recorded and analyzed.

What Do Clinical Data Abstractors Typically Do in This Position?

A clinical data abstractor works to ensure that all patient information is accurately recorded and analyzed. They are responsible for extracting relevant data from medical records and other healthcare documentation, including patient charts, laboratory results, and other clinical data sources. They also review and analyze data to identify trends and patterns that can help healthcare providers improve patient outcomes. A clinical data abstractor must have excellent analytical skills, as well as the ability to communicate effectively with other healthcare professionals.

Top 5 Skills Required for a Clinical Data Abstraction Job

  • Advanced knowledge of medical terminology and healthcare documentation
  • Strong analytical skills, with the ability to identify trends and patterns in large data sets
  • Excellent organizational skills, with the ability to manage large amounts of data effectively
  • Effective communication skills, with the ability to work collaboratively with other healthcare professionals
  • Proficiency in data management and analysis software

How to Become a Clinical Data Abstraction Specialist?

To become a clinical data abstraction specialist, you will typically need a bachelor's degree in a healthcare-related field, such as nursing or health informatics. Some healthcare organizations may also require certification in clinical data management or related fields. Additionally, you will need to gain experience working with medical records and other healthcare documentation, as well as proficiency in data management and analysis software.

Average Salary for a Clinical Data Abstraction Job

According to data from PayScale, the average salary for a clinical data abstraction specialist is $54,000 per year. However, salaries can vary widely depending on factors such as experience, education level, and location.

Roles and Types of Clinical Data Abstraction Jobs

There are a variety of roles and types of clinical data abstraction jobs available in the healthcare industry. Some common job titles include clinical data analyst, clinical data manager, and clinical research coordinator. Within these roles, data abstraction specialists may work with electronic medical records, clinical trial data, or other healthcare documentation.

Locations with the Most Popular Clinical Data Abstraction Jobs in the USA

Clinical data abstraction jobs are available in healthcare organizations and research institutions across the United States. However, some of the most popular locations for these jobs include major metropolitan areas such as New York City, Los Angeles, and Chicago.

What Are the Typical Tools Used in Clinical Data Abstraction Jobs?

Clinical data abstraction specialists use a variety of tools to extract and analyze patient data. These may include electronic medical record systems, data management and analysis software, and statistical analysis tools. Additionally, data abstraction specialists must be proficient in the use of standard office software such as Microsoft Excel and Word.

In Conclusion

Clinical data abstraction jobs are an important part of the healthcare industry, helping to ensure that patient data is accurately recorded and analyzed. To succeed in this field, data abstraction specialists must have strong analytical skills, excellent communication abilities, and proficiency in a variety of data management and analysis tools. With the right education and experience, a career in clinical data abstraction can be both rewarding and fulfilling.