Transparent Dosing — A Position
Vancomycin dosing should not be a black box.
Vancomyzer™ is a transparent Bayesian dosing calculator for clinical pharmacists. Every equation, every prior, every confidence interval is in the open — because the math behind your dose decisions should be auditable, not just trusted.
The state of vancomycin dosing tools is strange.
The two commercial leaders charge $25,000–$50,000 per hospital per year. They produce a confident dose recommendation. They will not show you the prior they used, the math they ran, the residual on the fit, or the source of their derivation cohort. If you ask, you get a sales-deck version of “trust us — we work with 1,000+ hospitals.”
That’s not clinical decision support. That’s a vendor with a calculator behind a paywall.
We built Vancomyzer differently. The math is in the open. The prior is the same Colin 2019 pooled model the commercial tools quietly use — and we say so out loud. The confidence band shows you exactly how much the engine actually knows about your patient. The Bayesian fit is explained inline, in plain language, when you turn on Teaching Mode. And it’s free for individual clinicians, forever.
What we believe
Six commitments that shape every line of code in the engine.
Show the math.
Every equation, every prior, every fit decision is visible in the UI. No clinical decision-support tool that hides its reasoning belongs in a pharmacy workflow. We render the Colin 2019 covariate equations next to your patient's computed CL. We show the residual on every Bayesian fit. Turn on Teaching Mode and you get plain-language PK explanations inline with each result.
Honest uncertainty.
When the data can't constrain the answer, the UI says so — with an explicit confidence band on the concentration-time graph, not a confident-looking line. The band widens when no level is fit, narrows when two coherent levels are in. We'd rather be visibly humble than invisibly wrong.
The prior is published, peer-reviewed, and pooled from 14 studies.
Not four. Not five. Not proprietary. Colin PJ et al, Clinical Pharmacokinetics 58:767–780, 2019: a pooled population PK analysis across 14 published vancomycin studies, n=2,554 patients, 8,303 measured concentrations, neonates through elderly. CC BY-NC. The same prior the commercial vendors quietly build on — we just tell you.
Free for the people who need it most.
Pharmacy students, residents, individual clinicians: the full calculator is free, forever. Hospital tier exists for institutions that need EMR integration, audit logs, custom branding, and a Business Associate Agreement — not for the math itself. Basic dosing safety isn't gated behind a $50,000 contract.
Bayesian, not magic.
Posterior MAP estimation with log-normal prior penalties on every PK parameter. A single observation cannot override decades of population-PK data — that's a feature, not a bug. When the fit can't explain a measured level within ~25% relative error, the UI surfaces a Fit Quality Advisory and tells you to draw a confirmatory level. It does not silently loosen the prior to make the curve pass through the dot.
Open methodology.
The math you see in the FAQ is the math in the engine. Every model, every parameter, every safety guardrail is documented with its primary citation. The pediatric clamp, dialysis exclusion, and continuous-infusion exclusion are explicit because they haven't been validated, not because we're saving features for an upgrade tier.
The math, exposed.
Here’s the actual Colin 2019 clearance equation Vancomyzer evaluates for your patient, verbatim from the engine source. It is the same equation a black-box tool would compute internally. The difference is whether you ever get to see it.
// Adult clearance — Colin 2019, two-compartment, weight + maturation + age decline + SCr // Source: Clin Pharmacokinet. 2019;58(6):767-780. Eqs 6-13, Table 3. const CL = THETA_CL * Math.pow(weight_kg / 70, 0.75) // allometric size scaling * FMat(PMA_weeks) // sigmoidal maturation (≈1.0 for adults) * FDecline(PMA_years) // 50% reduction at age 61.6 years * Math.exp(-THETA_SCR * (scr_mgdl - SCRstd));
And the Bayesian posterior, in three lines:
// Posterior ∝ likelihood(observed levels | params) × prior(params) // MAP estimate via multi-start Nelder-Mead in log-space // Bounded — a single outlier observation cannot override the population prior
That’s the entire trick. There is no proprietary algorithm. There is no closed-source Bayesian magic. Anyone with a graduate-level pharmacometrics course can audit the engine. That is the point.
Literature Reproducibility is a public scoreboard: every published vancomycin case we test our calculator against, with the live delta between our output and the published value. If our engine drifts, the build fails before it ships.
Where the data comes from.
One of the more common arguments against free Bayesian tools is that they rely on too few studies — that priors derived from one study per subpopulation are statistically fragile. The argument is correct as stated. It is also not what Vancomyzer does.
Our default adult prior is Colin 2019, which is itself a pooled population PK analysis across 14 published studies, ~2,554 patients, ~8,303 vancomycin concentrations, spanning neonates through elderly. It was published explicitly to be the “single coherent prior across populations” reference for vancomycin dosing tools — and it’s the same published model the commercial tools build on.
Colin PJ et al. — Vancomycin Pharmacokinetics Throughout Life: Pooled Population Analysis (14 studies, n=2,554)
Clin Pharmacokinet. 2019;58(6):767-780.
Default adult prior. CC BY-NC.
doi:10.1007/s40262-018-0727-5 ↗Smit C et al. — Vancomycin pharmacokinetics in morbid obesity
Br J Clin Pharmacol. 2020;86(2):303-317.
Obesity-model CL formula (BMI ≥ 40).
doi:10.1111/bcp.14144 ↗Zhang T et al. — External validation of the obesity vancomycin model
Clin Pharmacokinet. 2024;63:79-91.
Independent validation cohort.
doi:10.1007/s40262-023-01324-5 ↗Janmahasatian S et al. — Quantification of lean bodyweight (FFM equations)
Clin Pharmacokinet. 2005;44(10):1051-1065.
V₁ and V₂ scaling in obesity branch.
doi:10.2165/00003088-200544100-00004 ↗Rybak MJ et al. — Therapeutic monitoring of vancomycin (ASHP/IDSA/PIDS/SIDP 2020)
Am J Health Syst Pharm. 2020;77(11):835-864.
AUC-guided dosing target (400–600 mg·h/L) source guideline.
doi:10.1093/ajhp/zxaa036 ↗“We use a proprietary Bayesian model trained on data from our 1,000+ hospital partners.”
— every commercial vendor’s marketing page, paraphrased.
What we won’t do.
Promises about what a tool does are easy. Promises about what it refuses to do are where the safety actually lives.
- ✕
We will not claim FDA clearance we don't have. Vancomyzer is non-device clinical decision support under 21st Century Cures Act §3060, scoped accordingly. The disclaimer on every page is real, not legal noise.
- ✕
We will not fit your patient on a single outlier level by quietly loosening the prior. The fit is bounded; the residual is shown; the advisory tells you when to draw another level.
- ✕
We will not pretend the calculator works for pediatrics, dialysis, continuous infusion, or extreme renal failure until those subpopulations have been validated and shipped with their own safety rails.
- ✕
We will not gate basic AUC-guided dosing behind a hospital contract. The free tier is the same engine as Hospital tier — only EMR integration, BAA, custom branding, and audit logs are paid features.
- ✕
We will not replace clinician judgment. Every recommendation comes with the math, the residuals, and the assumptions so a pharmacist can override it with full context.
Open the calculator.
Free for individual clinicians. No credit card. The full Bayesian engine, the Colin 2019 prior, the obesity model, the confidence band — all of it.
Vancomyzer™ is a clinical decision-support tool for licensed healthcare professionals. Not FDA-cleared as a medical device. Classified as non-device CDS under the 21st Century Cures Act §3060. Engineered by Dōsys™.