Labs That Grow Your Practice
CMiQHealth was built by a practicing Functional Medicine clinicians with decades of clinical and practice building experience. While most lab companies stop at data delivery, leaving practitioners to figure out interpretation, patient communication, and workflow integration on their own, CMiQHealth was designed differently: rigorous systems-biology insight paired with the clinical and practice deployment support needed to actually use it.
When Engineering Meets Medicine
My background is in engineering before clinical practice. That foundation shapes how I think: systems first, signal over noise. When I entered functional medicine, I was drawn to its root-cause approach and focus on personalized care. Over nearly two decades, though, I also saw its inefficiencies. Expansive panels, redundant biomarkers, and costly diagnostics often generate more data than insight, leaving practitioners overwhelmed and patients confused. The engineering question I kept returning to was simple: where is the signal, and why is it being buried? -Steve Bennett BSME, DC
Signal Density
That question became the seed for CMiQHealth. The goal was not to do more testing, but to do better testing. We built the system around a core CMiQHealth principle we call Signal Density: the disciplined practice of extracting the highest possible level of actionable clinical insight from the optimal set of biomarkers, while intentionally excluding redundant or low-yield markers that add cost, cognitive burden, and interpretive noise. This required rethinking how diagnostics are selected, synthesized, and communicated. Instead of isolated data points, we focus on how physiologic systems behave under load, how early strain develops before overt disease, and why trajectory matters more than static thresholds. CMiQHealth was born from the belief that clarity and efficiency are not compromises in care, but prerequisites for better outcomes.
Pattern Recognition
That vision sharpened through collaboration with CMiQHealth CTO Dr. Mark Bachman, a PhD physicist (UT Austin) with deep experience in health-focused data science. With 10 patents and over 60 peer-reviewed publications, and as former Director of the eHealth Collaboratory at UC Irvine, Dr. Bachman brings a rigorous data science lens to a core healthcare challenge: turning information into better outcomes.Together, we reframed conventional risk models as linearized cross-system physiologic strain, a more dynamic and clinically meaningful framework for health assessment. That work made it possible to translate complex, interconnected biology into insights practitioners can act on and patients can understand. The result is a system that evaluates cardiovascular, metabolic, hepatic, thyroid, and hormonal function as interdependent processes rather than isolated systems.The convergence of engineering, clinical experience, and advanced data science is what makes CMiQHealth fundamentally different.