Clinical Data Abstractor

Pulse Clinical Alliance; United States; On-site; USD 48,000 - 55,000; Full time

Job summary

Pulse Clinical Alliance is seeking a Clinical Data Abstractor in the United States to perform high-quality medical record abstraction across cancer, women’s health, and rare diseases. The role includes regular reporting on all patients and data abstracted.

You will maintain data quality, participate in cross-team quality reviews, and ensure confidentiality while delivering detailed records and reports.

Qualifications

• RN/NP/PA licensed to practice in the United States.
• 2+ years in clinical data abstraction, Oncology/Women’s health, or Rare Diseases.
• Experience with paper and electronic medical records.

Responsibilities

• Abstract clinical data from medical records for cancer, women's health, and rare diseases.
• Maintain high-quality data and timely reporting.
• Participate in quality reviews and cross-team meetings.
• Protect confidentiality and maintain detailed records.

Job description

The Clinical Data Abstractor will be responsible for performing high-quality medical record abstraction for all abstraction needs across cancer, women’s health and rare diseases. The Clinical Data Abstractor is also responsible for providing regular reporting on all patients and data abstracted.

About the Role

The Clinical Data Abstractor will be responsible for performing high-quality medical record abstraction for all abstraction needs across cancer, women’s health and rare diseases. The Clinical Data Abstractor is also responsible for providing regular reporting on all patients and data abstracted.

Responsibilities

• Responsible for performing abstraction for ad hoc and ongoing internal and external data and abstraction requests for cancer, women’s health or rare diseases information. Abstraction responsibilities include manually reading, reviewing, and abstracting clinical data from medical records.
• Maintain minimum quality and productivity standards as established by the CDA team.
• Participating in quality reviews on records abstracted by abstraction peers, tracking records quality reviewed and through the entire abstraction life-cycle.
• Maintain confidential, accurate, and detailed records and reports.
• Identify clinical data gaps within existing patient medical records across the entire clinical database.
• Attend cross-team meetings and provide relevant reporting to cross-teams and directly to the first line supervisor or manager.
• Other duties as assigned.

Qualifications

• Registered Nurse, Advanced Practice Nurse, Physician’s Assistant.
• 2+ years of clinical data abstraction, with a focus on Oncology, Gynecological Oncology/Women’s Health, and Rare Diseases experience preferred (may be supplemented by a minimum of 5+ years of Oncology direct patient care, clinical trials, and data management experience.)
• Currently licensed to practice within the United States.

Required Skills

• Must be a clinical expert in the following clinical and therapeutic areas: Oncology, Gynecological Oncology/Women’s Health, and Rare Diseases experience preferred.
• Ability to work independently, with little to no direction, and as part of a team.
• Strong organizational and communication skills.
• Strong research and clinical skills.
• In-depth attention to detail and a fast learner.
• Experience working with startup companies and respond to shifting priorities and changes.
• Ability to interact with various levels of staff in a remote environment.
• Possess a high level of initiative and self-motivation.
• Strong computer skills, including proficiency in spreadsheet applications, word processing, Google Workspace, project management software, etc.
• Experience working with multiple monitors.li>
• Strong familiarity with data abstraction tools, EDCs, and registries and working with system change requests, and providing design input in the design of such databases.
• Medical terminology experience.
• Experience with multiple electronic medical record systems such as Allscripts, OncoEMR, Cerner, Epic, NextGen, Meditech, Cerner, etc.
• Experience working with paper, handwritten, and electronic forms of records/unstructured data and various file formats such as pdfs, RTFs, jpegs, etc.

Preferred Skills

• Experience with multiple electronic medical record systems such as Allscripts, OncoEMR, Cerner, Epic, NextGen, Meditech, Cerner, etc.

Pay range and compensation package

Pay: $35.00 - $40.00 per hour

Expected hours: 20 – 40 per week

Equal Opportunity Statement