Background: Therapeutic drug monitoring (TDM) supports individualized pharmacotherapy, yet its implementation in routine care remains limited by operational constraints, data quality issues, and the need for expert interpretation. Model-informed precision dosing (MIPD) addresses several of these limitations through population pharmacokinetic modeling and Bayesian forecasting, but its effective deployment in clinical practice still requires human TDM experts. Objective: This paper presents Tucuxi-CDSS, a configurable and open-source clinical decision support system (CDSS) designed to enable safe, standardized, and automated MIPD-guided dose individualization, with a particular focus on safeguarding against pre-analytical and data entry errors. Methods: We detail the Tucuxi-CDSS system architecture, its data validation workflow, decision logic, and configuration mechanisms. The system is built around extensive configurability through XML-based drug files, language files, and reporting templates. Verification was performed through unit testing, system-level tests, and random input fuzzing, while validation was conducted by comparing CDSS outputs against those of a human TDM expert in an study. Results: The resulting system supports end-to-end MIPD workflows, from data import and automated error detection through dosage adaptation and clinical report generation. An implementation study for rifampicin dosing optimization in routine tuberculosis care is currently underway in Tanzania, and an illustrative use case with imatinib demonstrates the system’s covariate handling and reporting capabilities. We also briefly summarize the validation against a human TDM expert across 60 virtual #patients: The CDSS matched the expert in error detection, with numerically higher sensitivity (53% versus 45%) but lower specificity (83% versus 100%), and it achieved higher therapeutic target attainment (55% versus 37%; =.046). These gains came at the cost of 4 detrimental interventions in the CDSS arm, against none for the expert. Conclusions: Tucuxi-CDSS provides a modular, extensible, and open-source platform intended to extend structured, reproducible TDM oversight to settings where trained pharmacologists are scarce. Its full performance evaluation against a TDM expert is presented in a companion paper and supports future prospective studies on CDSS adoption in clinical practice.

AUC₂₄-based MIPD for vancomycin improved therapeutic target attainment and was associated with a lower observed incidence of AKI. These findings support further evaluation of AUC-guided dosing...

Councilor Bonita Schwan and committee members raised safety concerns about e-bikes, single‑wheel devices and drones on Marco Island beaches and access points, and the committee asked staff to invite police and code enforcement to present data and enforcement options at the next meeting.

Accurate drug concentration measurement is essential for precision pharmacotherapy, but conventional therapeutic drug monitoring (TDM) requires venous sampling, increasing patient burden, and potentially limiting participation in TDM and model-informed precision dosing (MIPD). Volumetric microsampling enables self-collection of small, fixed volume capillary samples for centralized analysis and may reduce hematocrit-related volumetric bias associated with conventional dried blood spots. This...

Following public comments and extended council debate, the council by unanimous consensus removed an option to replace the Marco Island Police Department with the Collier County Sheriff's Office and clarified it will not pursue replacement; the council still authorized staff to explore possible service-integration cost savings and to invite the sheriff to brief the council.

1. TUESDAY: MIPD – ‘National Night Out' on Marco

1. TUESDAY: MIPD – ‘National Night Out' on Marco

1. TUESDAY: MIPD – ‘National Night Out' on Marco

Marco Island has no intention of closing and outsourcing the city's police department, City Council members said loud and clear this week.

Marco Island has no intention of closing and outsourcing the city's police department, City Council members said loud and clear this week.

The PK characteristics of oxazolidinone antibiotics may be altered in the elderly population. TDM and model-informed precision dosing (MIPD) are crucial approaches for achieving individualized dosing...

Ava reached out and petted the dog, which turned its head toward her and bit her once in the face, MIPD said.

JUPITER, Fla.--(BUSINESS WIRE)--DoseMe, a leading provider of model-informed precision dosing (MIPD), announced today it has earned certified status by HITRUST for information security. HITRUST Risk-based, 2-year (r2) Certification demonstrates that the…

JUPITER, Fla.--(BUSINESS WIRE)--DoseMe, a leading provider of model-informed precision dosing (MIPD), announced today it has earned certified status by HITRUST for information security. HITRUST Risk-based, 2-year (r2) Certification demonstrates that the…

JUPITER, Fla.--(BUSINESS WIRE)--DoseMe, a leading provider of model-informed precision dosing (MIPD) software, announced today the general availability of its enhanced web-based platform. These technical improvements streamline the workflow and offer the…

JUPITER, Fla.--(BUSINESS WIRE)--DoseMe, a leading provider of model-informed precision dosing (MIPD) software, announced today the general availability of its enhanced web-based platform. These technical improvements streamline the workflow and offer the…

Roper Roundtable with Laron Williams, Frederick A. Middlebush Chair of Political Science in the Truman School of Government and Public Affairs at the University of Missouri, who will discuss the second release of the Most Important Problem Dataset (MIPD). MIPD is a merged dataset of 850 U.S. surveys that include the question “what is the most important problem facing the country?” Professor Williams will discuss the challenges involved in normalizing open-ended questions over time, offer insights from the data, and suggest other research uses for the dataset.

1. TUESDAY: MIPD – ‘National Night Out' on Marco