Implementation Intelligence™️
Implementation Intelligence™ is the core philosophy behind CMiQHealth. The CMiQHealth approach is unique in that it extends outward from the lab-only approach that most lab companies pursue. As practitioners can attest, most labs begin and end with data delivery; leaving the practitioner to figure out marketing, interpretation, communication, and workflow integration on their own. CMiQHealth is different because it was created by a practicing Functional Medicine clinician with almost two decades of practice experience. We recognize that innovative systems-biology insight is critical, but we also recognize that a test by itself without support is much less valuable.
What Happens When Engineering Meets Medicine? -by Dr Steven Bennett, Founder & CEO
Before I ever stepped into a clinic, I was trained as an engineer. That foundation shaped how I think to this day: systems first, signal over noise, efficiency over excess. When I later entered functional medicine, I was drawn to its promise of root-cause thinking and personalized care. Over nearly two decades of practice, however, I also became aware of its inefficiencies. Too often, functional medicine relies on expansive test panels, redundant biomarkers, and costly diagnostics that generate more data than insight. The result is cognitive overload for practitioners, confusion for patients, and escalating costs that do not consistently lead to better outcomes. My engineering background kept returning to a simple question: where is the signal, and why is it being buried?
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 as I engaged my good friend and colleague, CMiQHealth CTO, Dr Mark Bachman. Mark holds a PhD in experimental particle physics (UT Austin) and has extensive experience in health-focused data science. With 10 patents and over 60 peer-reviewed publications, Dr Bachman brings extensive insight into the challenges facing healthcare in the US, namely turning information into better outcomes. As the former Director of the eHealth Collaboratory at UC Irvine, Dr Bachman helped develop effective health-data integration towards optimizing patient health and wellness. Together, we challenged conventional notions of risk and reframed them as linearized cross-system physiologic strain, a more dynamic and clinically meaningful way to assess health. Our work on trajectory modeling and the linearization of non-linear risk data made it possible to translate complex, interconnected biology into insights patients can understand and act on. The result is a system that evaluates cardiovascular, metabolic, hepatic, thyroid, and hormonal function as interdependent processes rather than isolated physiologic systems. The convergence of engineering, clinical experience, and advanced data science is what makes CMiQHealth fundamentally different.