Clinical Data Abstractor

Selectminds; Grand Blanc (MI); On-site; USD 52,000 - 72,000; Full time

Job summary

McLaren Health Care is seeking a Clinical Data Abstractor to perform clinical auditing and data abstraction of patient records to support quality improvement and patient safety initiatives.

The role reviews medical records, abstracts data for eligible patients, verifies electronic data accuracy, and enters data into program portals. Collaboration with sites and stakeholders is required to identify non-concordant cases and ensure timely accrual.

Qualifications

• Associate’s degree with two years of experience in clinical data analysis or similar role.
• Bachelor’s degree in nursing, healthcare administration, informatics, or related field.

Responsibilities

• Reviews medical records to abstract relevant data for eligible patients.
• Collaborates with assigned sites to review non-concordant cases and presents findings to stakeholders.
• Examines electronic medical records to identify patients eligible for inclusion in the registry.
• Responsible for accurate and timely entry of data into program database portals.
• Participates in audits of data entered into the registry.

Skills

Clinical data analysis

Data abstraction

Auditing

Education

Associate’s degree in nursing, healthcare administration, informatics, or related field

Bachelor’s degree in nursing, healthcare administration, informatics, or related field

Job description

The McLaren system includes 12 hospitals across the state, ambulatory surgery centers, imaging centers, a 730-member employed primary and specialty care physician network, commercial and Medicaid HMOs covering more than 242,000 Michigan lives, home health, infusion and hospice providers, pharmacy services, a clinical laboratory network, and a wholly owned medical malpractice insurance company. McLaren operates Michigan’s largest network of cancer centers and providers, anchored by the Karmanos Cancer Institute, a National Cancer Institute-designated comprehensive cancer center. McLaren has 20,000 full-, part-time and contracted employees and more than 93,000 network providers throughout Michigan.

A Clinical Data Abstractor performs clinical auditing and data abstraction of patient records in support of the organizations clinical quality improvement and patient safety initiatives associated with various quality improvement data reporting systems.

Essential Functions and Responsibilities as Assigned

• Reviews medical records to abstract relevant data for eligible patients utilizing both electronic upload and manual data abstraction of records. Assures electronic data are verified for accuracy and assures data entry of manually abstracted data into collaborative / registry.
• Collaborates with assigned sites to review non-concordant cases and identifies and presents findings to other key stakeholders.
• Utilizes clinical expertise to examine the electronic medical records of cases to identify patients eligible for inclusion in the collaborative / registry.
• Responsible for the accurate and timely entry of data into program database portals and meets the caseload accrual requirement protocol.
• Actively participates in audits of data entered the collaborative / registry

Qualifications

Required:

• Associate’s degree in nursing, healthcare administration, informatics, or related field with two years of experience in clinical data analysis or a similar role
• OR
• Bachelor’s degree in nursing, healthcare administration, informatics, or related field

Preferred:

• Experience in a clinical setting.
• Clinical chart review and abstraction experience.
• Database data entry and/or management experience.

Additional Information

• Schedule: Full-time
• Requisition ID: 26010291
• Daily Work Times: 8am - 4:30pm
• On Call: No

McLaren Health Care is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identification, age, sex, marital status, national origin, disability, genetic information, height or weight, protected veteran or other classification protected by law.