Training Pathway
Fellows may also pursue scholarly work in learning health systems, quality improvement, patient safety, implementation science, informatics, and AI development and evaluation, with mentorship from faculty focused on using local clinical data, health-system infrastructure, and rigorous evaluation methods to design, implement, and test interventions that improve the quality, safety, and reliability of patient care.
Health Systems Community-Based Pathway
The Center for Patient Safety Science provides training and scholarly opportunities focused on improving the quality, safety, and reliability of patient care.
Learning Health Systems and Healthcare Delivery Science Pathway
The Learning Health Systems Pathway supports fellows interested in using clinical data, health-system infrastructure, informatics, implementation science, and rigorous evaluation methods to improve healthcare delivery and patient outcomes. Fellows may pursue scholarly work in quality improvement, patient safety, clinical informatics, clinical decision support, predictive analytics, AI development and evaluation, embedded pragmatic trials, A/B testing, and other approaches that design, implement, and test interventions in real-world clinical settings.
Fellows in this pathway work with faculty whose scholarship focuses on developing and evaluating interventions that improve the quality, safety, equity, reliability, and value of patient care. Projects may use routinely collected clinical data, electronic health record infrastructure, partnerships with hospital quality and operations to identify important care delivery gaps, develop evidence-based solutions, and evaluate their impact.
Areas of Scholarly Work
Potential areas of focus include:
- Learning health systems and healthcare delivery science
- Quality improvement and patient safety
- Implementation science and de-implementation
- Clinical decision support
- Predictive analytics, AI development, and AI evaluation
- Embedded pragmatic clinical trials and A/B testing
- Diagnostic safety, medication safety, sepsis, inpatient deterioration, ICU transfer, rapid response, and other high-priority safety and quality outcomes
- Evaluation of health-system interventions, digital tools, and evidence-based care pathways
- Equity, reliability, and value in healthcare delivery
Training Options
Fellows may pursue this work through different training pathways depending on their career goals.
Fellows interested in intensive research training may pursue a four-year research pathway, including protected research time, formal coursework, mentored scholarship, and potential alignment with the Patient Safety and Health Services Research Fellowship or other research training programs. This option is well suited for fellows pursuing careers as independently funded investigators or health system leaders in learning health systems, patient safety, implementation science, informatics, or healthcare delivery science.
Fellows pursuing a clinician-scholar pathway may also develop mentored projects in quality improvement, patient safety, informatics, AI evaluation, or healthcare delivery innovation while completing standard fellowship training. This option is designed for fellows who want to build scholarly and operational expertise in designing, implementing, and evaluating interventions that improve care.
Mentorship and Resources
Fellows have access to mentorship from faculty with expertise in patient safety, quality improvement, health services research, implementation science, clinical informatics, biomedical informatics, biostatistics, epidemiology, data science, and health-system operations. Fellows may work with interdisciplinary teams that include clinicians, operational leaders, data scientists, informaticians, statisticians, implementation scientists, and quality and safety experts.
The pathway is designed to help fellows develop the skills to identify high-priority clinical and operational problems, use data to understand care delivery, partner with stakeholders, design feasible interventions, evaluate impact rigorously, and disseminate findings to clinical, operational, and academic audiences.