Quality RN: Patient Safety & Improvement Lead
Townsen Memorial
14 days+
A complete application in a minute
Tailored resume and cover letter, ready to send.
Get past ATS filters
Job summary
Townsen Memorial is seeking a Quality Registered Nurse in Houston, Texas. This role will lead clinical quality and safety initiatives, applying nursing expertise to improve patient care delivery. The Quality Nurse will analyze clinical data, develop corrective action plans, and support regulatory compliance activities. Ideal candidates should hold an Associates Degree in Nursing, be a Registered Nurse licensed in Texas, and have two years of acute care experience. Strong proficiency in clinical data analysis and effective communication is essential.
Qualifications
- Strong clinical nursing knowledge with ability to interpret care processes and outcomes.
- Understanding of healthcare quality frameworks (e.g., CMS, TJC, AHRQ).
- Ability to analyze clinical data and translate findings into actionable strategies.
Responsibilities
- Lead clinical quality and performance improvement initiatives across the organization.
- Evaluate care delivery and support evidence-based practice changes.
- Collaborate with teams to develop corrective action plans.
Skills
Clinical nursing knowledge
Data analysis
Communication skills
Critical thinking
Problem solving
Education
Associates Degree in Nursing
Registered Nurse in Texas
Two years of acute care clinical experience
Basic Life Support certification
Tools
Microsoft Office Suite
Quality/data reporting tools
Job description
Townsen Memorial is seeking a Quality Registered Nurse in Houston, Texas. This role will lead clinical quality and safety initiatives, applying nursing expertise to improve patient care delivery. The Quality Nurse will analyze clinical data, develop corrective action plans, and support regulatory compliance activities. Ideal candidates should hold an Associates Degree in Nursing, be a Registered Nurse licensed in Texas, and have two years of acute care experience. Strong proficiency in clinical data analysis and effective communication is essential.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
