Gregory Garza, DHA, MBA

I have served in various senior leadership healthcare roles in the payer and provider space for the past 20+ years. This has included leading large complex care delivery organizations for Fortune 25 companies and Private Equity backed organizations, focused on delivering care to the most vulnerable and fragile populations. I was born and raised in Southern California and began my career as a USAF S.E.R.E. Specialist which led me to my first opportunity to teach in higher education at the USAF Academy.

Strategic Management
Legal Issues and Ethics
Quality Improvement/ Management
Health Policy
Healthcare Finance and Reimbursement
Capstone

I have spent the past 15 years working closely within the machine learning space in it's infancy, particularly with Predictive modeling software and integrating that into clinical workflows for the intent purposes of Hospital ER avoidance. My scholarly interests intersect with optimal care delivery for chronically ill patients and how improved patient outcomes can occur while also creating value and economic improvements for the overall delivery system as a result.

-CSULB
-Texas Tech Health Science Center (MS Program)

I have taught classes on both the business and clinical aspects of Healthcare and have been a lecturer at the schools of Business and Health Sciences at other Universities.

Presentations:
Oral Presentation: Declines in Hemodialysis Patient Physical and Mental Component Scores Before Death”. American Society of Nephrology, 2014. Philadelphia, PA
Research:
Garza, G. (2017). Use of Predictive Analytics in an End Stage Renal Disease Population. D.H.A. Dissertation. Central Michigan University, Mt Pleasant, MI.
Publications:
2015: AJKD - Predictive modeling is associated with reductions in hospital admissions in dialysis patients
2016: AJKD - The effects of temperature and precipitation on patient nonadherence to hemodialysis
2017:
JASN - Use of fundus photography in the dialysis facility to screen for diabetic retinopathy
JASN - Impact of transition of care visits on readmission rates in dialysis patients
JASN - Utilization of benchmarks to reduce transportation costs for dialysis patients
2018:
JASN - Using artificial intelligence to help predict imminent hospitalizations in patients with ESRD
AJKD - Using artificial intelligence to predict imminent hospitalization with nursing notes
2024:
NDT - Use of machine learning directed interventions to reduce fluid related hospital admissions in hemodialysis patients

Soundhouse Church: Active member and volunteer for outreach ministry

I enjoy spending time with my family and friends. In my free time, I enjoy snowboarding, reading, watching movies, and traveling.

Scripture: Jeremiah 29:11
Education Philosophy- At the heart of Christian education is the integration of faith and learning. It goes beyond the mere acquisition of knowledge; it strives to instill in students a holistic worldview that is grounded in Christian values and principles. In a Christian university setting, this integration is not merely an ideal; it is a lived experience that transforms the minds and hearts of students.