Quality Improvement RN / PIPP Project Lead - AI Fall Tech

Episcopal Homes; Saint Paul (MN); On-site; USD 53,000 - 64,000; Full time

Benefits offered by this job

Health Insurance

Retirement Savings Plan

Paid Time Off

HSA

Job summary

Episcopal Homes of Minnesota in St. Paul, MN, seeks a Quality Improvement Nurse / PIPP Project Manager to lead a grant-funded quality improvement initiative focused on AI-enabled fall prevention and resident safety across skilled nursing facilities.

You will manage timelines, coordinate with nursing leadership, clinicians, and vendors, and drive performance improvements. Ideal candidates are RNs with 3+ years in geriatrics, strong data analysis, and experience with QAPI/regulatory compliance.

Qualifications

• Current Minnesota RN license in good standing.
• Minimum of three years of nursing experience.
• Experience in skilled nursing, long-term care, post-acute care, geriatrics, or related healthcare setting.
• Understanding of clinical quality improvement and regulatory compliance.
• Experience reviewing clinical documentation and identifying opportunities for improvement.

Responsibilities

• Lead the PIPP quality improvement project and coordinate DHS PIPP requirements.
• Coordinate the introduction of AI-enabled fall prevention/detection technology across facilities.
• Develop project timelines, milestones, and performance measures.
• Monitor resident falls and outcomes to measure project success.
• Prepare quarterly PIPP progress reports and develop dashboards for leadership.

Skills

RN License

Geriatrics

Regulatory Compliance

Project Management

Data Analysis

Education

BSN (preferred)

Tools

EHR Systems

Job description

Episcopal Homes of Minnesota in St. Paul, MN, seeks a Quality Improvement Nurse / PIPP Project Manager to lead a grant-funded quality improvement initiative focused on AI-enabled fall prevention and resident safety across skilled nursing facilities.

You will manage timelines, coordinate with nursing leadership, clinicians, and vendors, and drive performance improvements. Ideal candidates are RNs with 3+ years in geriatrics, strong data analysis, and experience with QAPI/regulatory compliance.