Data Abstractor - Quality

UPMC’s GLPP outpatient group is hiring a Data Abstractor to support value-based care and quality programs. The role reviews patient records, abstracts clinical data, identifies documentation gaps, and helps ensure accurate records and compliance with applicable measure specifications.

Responsibilities

Demonstrates a service-oriented approach to the position by conveying courtesy, respect, enthusiasm and positive attitude for work responsibilities. Show initiative and offer assistance to all department customers and UPMC Health System personnel in the completion of the department's goals. Patient care issues and inter-departmental service are the first priority as a staff member while protecting confidentiality of all patient related information

Analyzes and monitors the electronic medical record and identifies the required medical and/or surgical documentation through various electronic systems: MARS, Medipac, Cerner, HPF, etc., where/if applicable. Recognizes and reports discrepancies found in the medical record to alert upstream and downstream users as appropriate. (i.e.: Registration, coding, information systems)

Maintains and submits weekly a Daily Productivity Log of activities to the Coordinator/Manager

Adapts to changes in the work environment and process change, as necessary, and be able to prioritize work with the assistance of the Data Validation Coordinator, Supervisor, Manager or Director

Reviews, edits/completes PHC4 Error Report as per their Director, Manager, or Data Validation Coordinator

Maintains a strong knowledge base of the CMS/Core Measure Specifications with each year's new version through continuous maintenance of the glossary, webinars, and continuous education for both Inpatient & Outpatient data collection. Maintains a strong knowledge of the current AHA/GWTG's Stroke Specifications for Primary Stroke Center facilities

Adhere to department productivity standards. Communicate any barriers affecting expected standards and work collaboratively with supervisory team to meet department abstraction goals

Attends UPMC Departmental and System meetings, training/educational webinars as required

Reviews clinical documentation and extracts the key data elements according to rules and regulations as defined in the CMS/Centers for Medicare and Medicaid Specifications Manual . 100% accuracy of this CMS data is critical since the information is directly related to reimbursement for VBP/Value Based Purchasing and full APU reimbursement in regard to quarterly CDAC Audits as applicable

Participate in training and orientation of new employees in regards to the electronic record, clinical documentation, abstraction guidelines, and validation processes

Balance team and individual responsibilities while contributing to building a positive team spirit

As required by The Joint Commission, maintains an 80% Stroke accuracy rate for internal bi-annual validation audits through applied abstraction skills within the AHA/GWTG Stroke Registry

Reviews clinical documentation and extracts key data elements according to the AHA/GWTG's Specifications Rules and Regulations to maintain certification for Primary Stroke Centers. As required by The Joint Commission, maintains an 80% Stroke accuracy rate for internal bi-annual validation audits through applied abstraction skills within the AHA/GWTG Stroke Registry

Participates in ongoing assessment of the electronic data sources. Evaluate data abstraction software performance to detect potential system issues

Preferred

Healthcare experience preferred

Familiarity with HEDIS, preventive care measures, and value-based care programs strongly preferred

Knowledge of HCC/risk adjustment concepts beneficial

Experience with EMRs and medical records preferred

Cerner or any similar clinical E-record system

Knowledge of CMS AMI/PN/HF/SCIP/VTE/Stroke/ED/IMM/OPPS Core Measure abstraction

A graduate of an approved accredited Registered Health Information Technician Program (RHIT or eligible) is preferred

Healthcare Experience

HEDIS

Preventive Care Measures

Value-Based Care Programs

HCC Concepts

Risk Adjustment

EMR Systems

Medical Records

Cerner

Clinical E-Record Systems

AMI Measure Abstraction

PN Measure Abstraction

HF Measure Abstraction

SCIP Measure Abstraction

VTE Measure Abstraction

Stroke Measure Abstraction

ED Measure Abstraction

IMM Measure Abstraction

OPPS Measure Abstraction

RHIT Credential

Company

Nonprofit health care provider and insurer

Pittsburgh, Pennsylvania, USA

https://www.upmc.com/

Founded in 1893

10001+ employees

Qualifications

Strong Excel skills required

Strong critical-thinking and problem-solving abilities

Excellent organizational and communication skills

Ability to adapt to changing healthcare regulations, payer requirements, and quality initiatives

Comfortable performing patient outreach and working independently

A high school graduate with a minimum of 1-2 years of clinical or core measure abstracting or completion of a certified nurse assistant certificate program

A strong knowledge in anatomy, physiology, pharmacology and medical terminology is required

Good written and oral communication and organizational skills is required

Must possess high degree of concentration to accurately abstract data from patient records

Must be detail oriented to assure accuracy of abstracted data

Must demonstrate ability to work under pressure in a positive team-oriented manner with diplomacy and tact

Computer skills of Microsoft Office applications and Internet use are required

NYS Staff Exclusion List (NYSEL)

Healthcare experience preferred

Familiarity with HEDIS, preventive care measures, and value-based care programs strongly preferred

Knowledge of HCC/risk adjustment concepts beneficial

Experience with EMRs and medical records preferred

Cerner or any similar clinical E-record system

Knowledge of CMS AMI/PN/HF/SCIP/VTE/Stroke/ED/IMM/OPPS Core Measure abstraction

A graduate of an approved accredited Registered Health Information Technician Program (RHIT or eligible) is preferred

A high school graduate with a minimum of 1-2 years of clinical or core measure abstracting or completion of a certified nurse assistant certificate program.

Required skills

Healthcare, HEDIS, Value-Based Care, HCC Risk Adjustment, Microsoft Excel, Core Measure Abstraction, Medical Terminology, Anatomy, Physiology, Pharmacology, Cerner, RHIT

Preferred skills

Healthcare experience preferred, Knowledge of HCC/risk adjustment concepts beneficial, Experience with EMRs and medical records preferred, Cerner or any similar clinical E-record system, Glassdoor, 3.2, Nonprofit health care provider and insurer., Pittsburgh, Pennsylvania, USA, https://www.upmc.com/, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 11, Represents job field similar to this job, Engineering and Development, Customer Service and Support, Trends of Total Sponsorships, *2026, (4), 2025, (3), 2024, (7), 2023, 2022, 2021, 2020, (13), Late Stage, Total Funding

Experience

1-2 years