DEMO VERSION
AUC-guided vancomycin TDM

Precision Vancomycin
Dosing Platform

منصة الجرعة الدقيقة للفانكومايسين

Model-informed precision dosing for intravenous vancomycin in adult inpatients — population pharmacokinetics, machine learning and Bayesian individualisation in one secure platform, developed and validated on real-world inpatient data.

Launch GuardDose →   How it works
Sign-in required · Contact your administrator for access
Demonstration environment — synthetic and de-identified cases only, pending institutional hosting approval
Capabilities

Everything you need for AUC-guided vancomycin TDM

From a priori dose estimation to MAP Bayesian individualisation, shared patient database, analytics and batch import — one secure institutional platform.

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A priori dose prediction

Two independent models predict individual clearance from routine covariates before any level is drawn; a concordance check flags patients where they disagree.

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MAP Bayesian update

One or more measured levels individualise clearance and volume using the full dosing history, with a confidence interval on the estimated exposure.

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AUC-guided dose adjustment

Target AUC₂₄ 400–600 mg·h/L per the 2020 ASHP/IDSA/SIDP guideline. Regimen grid with predicted AUC, peak and trough for every option; loading-dose guidance.

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Patient database

Cases saved centrally with ward, user, outcome and MAP results. Searchable, filterable, reopen any case, export to CSV.

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Analytics dashboard

Target attainment, AUC distribution, cases by ward, month and user, PopPK–ML concordance rate — live from the shared database.

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Multi-user IAM

Admin, user and viewer roles; ward assignment; suspend or remove accounts; account lockout; full audit log of sign-ins and data changes.

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Batch upload

Import hundreds of patients from Excel or CSV. Column names are matched automatically; each row is validated, calculated (MAP if a trough is supplied) and reported individually.

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Secure institutional hosting

HTTPS, role-based sign-in, session expiry, audit trail. Patient data is stored in the platform database, not in individual browsers, so the whole team sees the same cases.

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Built for hospital practice

Developed and validated on adult inpatients across medical, surgical, critical-care and oncology wards, including a dedicated model for patients with haematological malignancy.

Workflow

AUC-guided dosing in 4 steps

From prescription to individualised dose adjustment

1

Enter covariates

Age, sex, weight, height, SCr and regimen. CrCL auto-calculated by Cockcroft–Gault; choose the general or HM population.

2

A priori dose

Both models predict clearance and AUC₂₄; concordance is checked; the best regimen for the target AUC is suggested. Save to the database.

3

Enter TDM sample

Trough, peak + trough or any timed samples — at steady state or with the full dose history. Exact sampling time required.

4

MAP Bayesian update

Individual CL, V and AUC₂₄ with 90% CI and uncertainty reduction. New regimen recommended; residuals flagged if inconsistent.

Authors

Research team

GuardDose is the applied output of a doctoral research programme in pharmacometrics and model-informed precision dosing.

👨‍⚕️

Dr. Abdullah M. Alzahrani

PharmD, MSc, BCPS · Developer and principal author · Senior clinical pharmacist and PhD candidate in pharmacology

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Prof. Samer Alharthi

Main PhD supervisor · Professor of Pharmacology

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Dr. Maher Alahmadi

Principal investigator and co-advisor · Clinical pharmacy

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Dr. Ragiah Goniem

Doctoral research advisor

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Prof. Abdullah Alsultan

Doctoral research advisor · Pharmacometrics and clinical pharmacokinetics

About this platform

DeveloperDr. Abdullah M. Alzahrani, PharmD, MSc, BCPS ContactThrough the platform administrator Version6.0 · September 2026Accessguarddoserx.com ResearchDeveloped as part of a doctoral research programme with institutional ethics approval.
For clinical decision support and research use only. All dosing recommendations must be reviewed and verified by a qualified clinical pharmacist or physician before implementation. The developers and affiliated institutions accept no liability for clinical decisions made on the basis of this tool. Report errors or questions through the platform administrator.