Quality Improvement Specialist

University of California, San Francisco; San Francisco (CA); On-site; USD 130,000 - 165,000; Full time

Job summary

The University of California, San Francisco (UCSF) is seeking a seasoned Quality Improvement Specialist to lead data-driven improvement initiatives within the Department of Medicine and the Division of Hospital Medicine at ZSFG.

You will transform complex clinical data into actionable insights, develop analytic datasets, and create dashboards to inform patient care and health system performance, working with clinical and administrative leaders in a fast-paced academic medical center.

Qualifications

• Bachelor's degree in healthcare, business, or related field with 3+ years relevant experience.
• Proficiency with MS Excel and Office suite.
• Detail-oriented with ability to manage multiple priorities.
• Strong critical thinking and problem solving abilities.
• Excellent interpersonal and written/verbal communication skills.
• Knowledge of QI standards and data reporting practices.
• Experience with Epic data extraction is preferred.

Responsibilities

• Transform complex clinical data into actionable information to support quality improvement.
• Develop analytic datasets, quality measures, and data visualizations.
• Produce reports and dashboards to inform improvement efforts.
• Collaborate with clinical, operational, and administrative leaders.
• Support strategic planning, program oversight, and implementation of quality initiatives.

Skills

Excel proficiency

SAS/STATA/R

Epic data extraction

Project management

LEAN / A3

Data visualization

Communication skills

Education

Bachelor's degree in healthcare or related field

Master's degree preferred

Tools

Epic

Job description

Job Description

Applies advanced knowledge and experience as a seasoned Quality Improvement (QI) Specialist to projects of moderate to high complexity, independently managing quality improvement initiatives through the application of data analytics, project management, and quality improvement methods (e.g. LEAN, A3 thinking).

The Quality Improvement Specialist will provide quantitative and qualitative programmatic support to the Department of Medicine and its Divisions, with a dedicated 50% effort supporting the Division of Hospital Medicine at Zuckerberg San Francisco General Hospital (ZSFG). The incumbent will partner with clinical, operational, and administrative leaders to design, implement, evaluate, and sustain quality improvement initiatives that improve patient care and health system performance.

A core responsibility of this position is transforming complex clinical and operational data into actionable information to support quality improvement. Using statistical software programs, the incumbent will acquire, integrate, clean, and manage data from multiple hospital and administrative data sources; develop analytic datasets; create meaningful quality measures and derived variables; perform descriptive and exploratory analyses; and produce reports, dashboards, and data visualizations to inform improvement efforts. The incumbent will work with imperfect and evolving data, applying sound data analytic methods and judgment to ensure data quality and interpretability.

In addition, the incumbent will support strategic planning, program oversight, and implementation of departmental and divisional quality initiatives by identifying analytic and operational needs, monitoring project performance, evaluating outcomes, and providing consultative support to clinical teams. This position will collaborate closely with partners across inpatient and outpatient settings to align quality improvement efforts across the continuum of care.

The successful candidate must be able to manage multiple concurrent projects, communicate analytic findings effectively to diverse stakeholders, exercise independent judgment, and maintain exceptional attention to detail in a fast-paced environment.

Qualifications

• Bachelor's degree in a healthcare profession, business or healthcare administration, or a combination of comparable clinical education and three or more years of relevant experience and / or experience.
• High proficiency with MS Excel and working knowledge of Microsoft Office, PowerPoint, Access, and software tools for organization, scheduling, correspondence, data collection, analysis, and reporting.
• Detail-oriented, with proven ability to effectively manage time, see projects through to completion, organize competing priorities, and effectively address complex, urgent issues as they arise.
• Strong critical thinking and problem solving skills to manage multiple levels of information and responsibilities, to quickly assess complex problems, and to develop and implement timely and effective solutions.
• Strong interpersonal skills, and written and verbal communication skills for collaborating effectively with a broad range of clinical and technical staff and representatives of external regulatory agencies and for mentoring lower-level QI staff.
• Strong skills required to effectively convey complex clinical and technical information both verbally and in writing and to produce high quality reports and documentation.
• Thorough knowledge of QI standards, clinical chart review and abstraction, and regulatory requirements.
• Thorough knowledge of QI models, measurement tools, and techniques, including collection, aggregation, abstraction, validation, analysis, and reporting of data.
• Intermediate proficiency in the use of statistical software programs (SAS, STATA or R) in order to acquire, merge, clean, validate, and transform data from multiple clinical and administrative sources; construct analytic datasets; derive quality measures and variables; and conduct descriptive statistical analyses to support quality improvement initiatives.
• Experience working with Epic (or other EHR) data extraction and analyses.

Preferred Qualifications

• Master's degree in public health, health administration, business, or a combination of comparable education/experience.
• Strong skills to influence staff, management, and clinicians at all levels and across departments.

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

PRIDE Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html