Inpatient Data & Quality Analytics Lead

Universal Health Services; Edinburg (TX); On-site; USD 55,000 - 85,000; Full time

Job summary

Universal Health Services seeks a data quality program specialist to serve as the resource on data requirements for quality and performance programs such as LeapFrog and Core Measures. You will educate leaders, medical staff, and employees on program changes and implement abstraction methods to support requirements.

You will collaborate with Process Improvement and corporate data analytics to refine metrics and ensure corrective actions and follow-up are effectively implemented across multiple

Qualifications

• Bachelor's degree required.
• 3–5 years of experience in data programs.
• Process improvement experience a plus.
• Advanced knowledge of LeapFrog and Core Measures; proficient in Word and Excel.
• Extensive use and knowledge of computer equipment.
• Commitment to Compliance Program and Code of Conduct.
• Certification in Quality/Joint Commission preferred.
• Willingness to travel between STHS facilities.

Responsibilities

• Serves as the resource and expert on all data requirements for quality and performance programs; communicates, educates and coaches to meet these requirements.
• Develops and provides education to leaders, medical staff and employees on program changes.
• Develops and implements abstraction methods to support program requirements.
• Develops and implements systems for corrections and follow up with Process Improvement Department.
• Serves as data subject matter expert, working with corporate data analytics for continued learning and understanding of metrics.

Skills

Quality programs expertise (LeapFrog,

Education

Bachelor's Degree

Tools

Excel

Word

Job description

Universal Health Services seeks a data quality program specialist to serve as the resource on data requirements for quality and performance programs such as LeapFrog and Core Measures. You will educate leaders, medical staff, and employees on program changes and implement abstraction methods to support requirements.

You will collaborate with Process Improvement and corporate data analytics to refine metrics and ensure corrective actions and follow-up are effectively implemented across multiple