Neonatal Research
Respiratory care, caffeine pharmacology, delivery room performance, stabilization of preterm infants, point-of-care ultrasound, and outcomes-driven clinical questions.
Neonatology · Research · Quality Improvement · Clinical AI
I’m Efren Diaz, MD, a neonatologist focused on bedside medicine, research operations, medical education, quality improvement, and responsible use of artificial intelligence in clinical environments.
Professional Focus
I work across neonatal care, clinical research, digital education, and implementation science. The goal is simple: develop useful tools, conversations, and collaborations that help clinicians move from ideas to execution.
Respiratory care, caffeine pharmacology, delivery room performance, stabilization of preterm infants, point-of-care ultrasound, and outcomes-driven clinical questions.
Structured approaches for safer extubation, ventilation practices, workflow standardization, clinical databases, and high-reliability NICU systems.
Practical teaching for trainees and interdisciplinary teams through simulation, journal clubs, digital content, and board-relevant neonatal education.
Applied AI workflows for protocol development, literature review, research support, QI design, clinical education, and responsible productivity.
Featured Platforms
A neonatal education platform focused on practical learning, research discussions, clinical reasoning, and high-yield concepts for neonatal clinicians and trainees.
Collaborate on NeoRoundsA YouTube channel exploring how clinicians can use AI for clinical productivity, research, quality improvement, medical education, and responsible implementation.
Discuss a topic or guest ideaProject space for retrospective studies, QI initiatives, clinical databases, protocol development, manuscript drafting, and research operations.
View project areasSelected Work
Retrospective cohort work evaluating caffeine concentrations, respiratory outcomes, and clinical significance in premature infants.
Standardized algorithms and workflow redesign for extremely premature infants receiving invasive respiratory support.
Practical education formats that improve discussion quality, team readiness, and clinical reasoning.
Responsible use of AI to accelerate literature review, protocol development, data collection design, and educational content creation.
Collaborate
I’m open to collaborations involving neonatal research, clinical education, journal clubs, AI-enabled workflows, responsible medical content, and implementation-focused quality improvement.