Research nurse (EMR chart abstraction) at University of… · Pittsburgh

We are seeking a detail-oriented Registered Nurse to join our research team as a part-time EMR Epic Bridges Chart Abstractor. In this role, you will use your clinical expertise to review medical records and capture the data that powers our study (e.g., medical diagnoses). Accurate abstraction is the foundation of reliable research, and your work will directly support the quality of the evidence that contributes to understanding the effectiveness of V116, CAPVAXIVE™ pneumococcal vaccine against pneumococcal pneumonia hospitalization among older adults. If you are looking for meaningful, flexible work beyond the bedside, this is a great opportunity to put your clinical judgment to use.

As an EMR Epic Bridges Chart Abstractor, you will review electronic medical records for consented, enrolled study participants and extract a variety of clinical data according to the study protocol and abstraction guidelines and type the data into an online portal. Your responsibilities will include:

• Identifying and recording key data elements such as diagnoses, procedures, medications, lab results, clinical events, and outcomes

• Applying clinical judgment to interpret documentation and ensure data are captured consistently and accurately

• Entering data into our electronic data capture system and meeting established accuracy and timeliness standards

• Flagging missing information, discrepancies, or clinical questions for follow-up with the study team

• Participating in training, quality assurance reviews, and periodic accuracy checks

• Protecting patient privacy and maintaining strict confidentiality in accordance with HIPAA

This position offers true flexibility. Weekly hours range from 3 to 20, depending on study enrollment, so workload will vary from week to week. You will set your own working hours within each week, provided assigned charts are completed by agreed-upon deadlines. We will share anticipated workload as far in advance as possible, and there will be an initial training period with scheduled session(s). Each chart may take a couple of hours to abstract and type into a portal and generally will be most efficient done at one setting. Because hours depend on enrollment, we cannot guarantee a miminum weekly number of hours, and we will be upfront about expected workload during the interview process.

Required

• At least 2 years of RN experience

• Proficiency with EPIC

• Strong attention to detail and the ability to work independently and meet deadlines

• Reliable high-speed internet access

• Access to EPIC Bridges

• Willingness to take 6 hours of research training.

• Good typing skills

Preferred

• Prior experience in chart abstraction, clinical research, or quality improvement

• Familiarity with research protocols and data entry systems

The University of Pittsburgh is an equal opportunity employer / disability / veteran.