Data Abstractor - Quality

UPMC•Jamestown, NY

About The Position

UPMC's GLPP outpatient group is seeking a Data Abstractor to support value-based care programs. This role involves reviewing patient records, identifying care gaps, conducting patient outreach, coordinating with physician offices and clinical staff, obtaining outside diagnostic reports, and ensuring medical records are complete and accurate. It calls for analytical ability, attention to detail, communication skills, and adaptability. The position is full-time, Monday through Friday, typically between 8:00 a.m. and 4:30 p.m. The primary location is Jamestown, New York; quarterly travel to Erie, Pennsylvania may be required depending on department needs. No holidays, evenings, or weekends are required.

Requirements

High school graduate with at least 1–2 years of clinical or core-measure abstracting experience, or completion of a certified nurse assistant certificate program.
Strong knowledge of anatomy, physiology, pharmacology, and medical terminology.
Good written and oral communication and organizational skills.
Ability to maintain a high degree of concentration when abstracting patient-record data.
Attention to detail to ensure the accuracy of abstracted data.
Ability to work under pressure in a positive, team-oriented manner with diplomacy and tact.
Computer skills using Microsoft Office applications and the Internet.
Strong Excel skills.
Ability to adapt to changing healthcare regulations, payer requirements, and quality initiatives.

Nice To Haves

Healthcare experience.
Familiarity with HEDIS, preventive-care measures, and value-based care programs.
Knowledge of HCC/risk-adjustment concepts.
Experience with EMRs and medical records.
Cerner or a similar clinical electronic-record system.
Knowledge of CMS AMI/PN/HF/SCIP/VTE/Stroke/ED/IMM/OPPS Core Measure abstraction.
Graduate of an approved accredited Registered Health Information Technician program (RHIT or eligible).
Comfort with patient outreach and working independently.

Responsibilities

Provide courteous, respectful, enthusiastic, and positive service; take initiative and assist department customers and UPMC Health System personnel while protecting patient confidentiality.
Analyze and monitor electronic medical records and identify required medical or surgical documentation using applicable electronic systems, including MARS, Medipac, Cerner, and HPF.
Recognize and report medical-record discrepancies to appropriate upstream and downstream users, such as Registration, coding, and information systems.
Maintain and submit a weekly Daily Productivity Log to the Coordinator or Manager.
Adapt to work-environment and process changes and prioritize work with assistance from the Data Validation Coordinator, Supervisor, Manager, or Director.
Review and edit or complete the PHC4 Error Report as directed by the Director, Manager, or Data Validation Coordinator.
Maintain knowledge of CMS/Core Measure Specifications, including new annual versions, and current AHA/GWTG Stroke Specifications for Primary Stroke Center facilities.
Meet department productivity standards, communicate barriers, and collaborate with the supervisory team to meet abstraction goals.
Attend required UPMC departmental and system meetings, training, and educational webinars.
Review clinical documentation and extract key data elements according to CMS/Centers for Medicare and Medicaid Specifications Manual rules and regulations, with accuracy critical to value-based purchasing reimbursement and applicable quarterly CDAC audits.
Participate in training and orientation of new employees on electronic records, clinical documentation, abstraction guidelines, and validation processes.
Balance individual and team responsibilities and contribute to a positive team environment.
Maintain the required 80% Stroke accuracy rate for internal bi-annual validation audits through abstraction in the AHA/GWTG Stroke Registry.
Review clinical documentation and extract key data elements according to AHA/GWTG specifications to maintain Primary Stroke Center certification.
Participate in ongoing assessment of electronic data sources and evaluate data-abstraction software performance to identify potential system issues.