Quality Review Analyst II

Socket.dev; Grand Blanc (MI); On-site; USD 60,000 - 85,000; Full time

Job summary

Socket.dev is seeking a Quality Data Analyst to support quality improvement and regulatory reporting, focusing on abstracting and analyzing medical record data. You will coordinate data collection across sources, perform statistical analyses, ensure data accuracy, and collaborate with vendors to maintain databases and implement policy standards.

Ideal candidates have an associate degree in a healthcare-related field and at least 3 years in healthcare data quality; bachelor’s degree and related

Qualifications

• Associate's degree in nursing, healthcare administration, health information management or related field.
• Three years of experience in healthcare data quality.
• Bachelor’s degree in nursing, healthcare administration, business administration, or related field (preferred).
• Certification in Quality Improvement/Patient Safety (e.g., CPHQ, ASQ, CQIA, TeamSTEPPS Master Trainer, PM).

Responsibilities

• Manage concurrent and retrospective medical record data reviews per criteria.
• Abstract and analyze clinical data from multiple sources.
• Coordinate timely data collection from internal data sources.
• Participate in CMS and TJC reporting.
• Collaborate with departments to improve data accuracy and completeness.
• Develop and apply statistical analyses for periodic reports.
• Update reports when quality/regulatory reporting changes.
• Troubleshoot data issues and improve data validity.
• Communicate with vendors and maintain databases; test software upgrades.
• Serve as an expert implementing policies and standards.

Skills

Data analysis

Quality improvement

Healthcare data

Regulatory reporting

Vendor communication

Education

Associate's degree in nursing / health information management / healthcare administration

Bachelor’s degree (preferred)

Tools

CMS

TJC standards

SQL basics

Job description

Position Summary:

Supports effective operations of the quality improvement and organizational excellence in areas by assisting with performing quality and compliance related activities, supporting abstraction process based on CMS and The Joint Commission (TJC) standards and other related activities. May coordinate medical staff quality and appropriateness review activity.

Essential Functions and Responsibilities:

1. Manages concurrent and/or retrospective review of medical record data according to established criteria.
2. Abstracts and analyzes clinical and health data elements from multiple sources.
3. Coordinates timely collection of data from multiple internal data sources.
4. Participates in data collection and reporting through internal and external authorities (e.g., CMS, TJC).
5. Initiates collaboration with personnel in other departments to improve data accuracy, collections, and completeness to achieve quality metrics set by various regulatory groups.
6. Develops, coordinates, and applies statistical analysis when producing periodic documents or presentations according to reporting requirements and schedule.
7. Updates reports based on changes to quality and regulatory reporting.
8. Engages appropriate resources to troubleshoot and resolve data issues. Monitors and implements changes to improve data validity.
9. Communicate directly with vendors, develops and maintains database, installs and tests software upgrades.
10. Serves as an expert in the implementation of new and existing policies, procedures, parties, and standards.

Qualifications:

Required

• Associate's degree in nursing, healthcare administration, business administration, health information management/technology, or related field from an accredited educational institution.
• Experience related to healthcare data quality for three (3) years.

Preferred:

• Bachelor’s degree in nursing, healthcare administration, business administration, technical/analytical field, or related field from an accredited educational institution.
• Certification in Quality Improvement/ Patient Safety (i.e., CPHQ, ASQ, CQIA, Team STEPPS Master Trainer, Project Management).