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How to Choose the Best Precision Dosing Software for Your Hospital
Many institutional pharmacy leaders are currently in search of precision dosing software to support vancomycin dosing. Bayesian dosing software allows pharmacy departments to revise and align their protocols, procedures, and workflows to the new vancomycin dosing guidelines.
If you’re shopping around for dosing software for your hospital or health system, this article will help you identify exactly what to look for during your search. You’ll also get insight into the evidence-based conclusions from studies comparing the Bayesian dosing software solutions.
Benefits of Precision Dosing Software for Vancomycin Dosing
As you know, pharmacists are the champions of medication safety. A substantial portion of a pharmacist’s responsibility includes ensuring accurate dosing.
Manual dosing can be cumbersome, tedious, redundant, and also error-prone, even for the most cautious and detail-oriented eyes. When it comes to manual dosing, efficiency is not one of its strong points. That’s what makes model-informed precision dosing (MIPD) software—specifically, Bayesian dosing software—so practical and useful for clinical and ID pharmacists.
MIPD is ideal for dosing drugs with:
- Narrow therapeutic indices that require close monitoring to ensure patient safety
- A high risk of adverse events if levels are too high
- Clinical consequences if levels are too low
This makes vancomycin an ideal drug candidate for precision dosing software. In fact, the 2020 vancomycin dosing guidelines specifically indicate a preference for the use of dosing software, rather than first-order pharmacokinetic calculations, to facilitate AUC-guided vanco dosing.
Dosing software like InsightRX Nova puts AUC-guided dosing more closely within reach for pharmacy departments, hospitals, and health systems.
Best Precision Dosing Software: Things to Consider
When seeking dosing software that fits your hospital’s or health system’s needs, these are the attributes you’ll want to consider and questions you’ll want to ask:
Quality of dosing predictions - If dosing predictions are model-informed, you’ll need to have faith in the quality of those models. Consider asking:
- Are the models the dosing software is based upon scientifically verified?
- Have the models been validated by a third-party?
- Is there an ongoing process for re-validating and improving models?
Ease of use - Dosing software can be complex, but shouldn’t be overly complicated for the end user. After all, the goal is to increase efficiency while improving patient safety, not to burden your pharmacists with difficult-to-use tech. Consider asking:
- How easy is it for pharmacists to learn and navigate the software? Is the learning curve steep?
- Is the dosing software intuitive?
- Are resources provided to train pharmacists on how to use the dosing software?
Value of your investment - Cost is an important budgetary consideration, but what’s even more important than cost alone is value. Consider asking:
- With what populations can you use the software—adults only, children and neonates? Are models for obese and critically-ill populations included?
- What is included with your base investment and what is considered an add-on?
- Will you have to pay for future software updates or new models?
What the Evidence Says
Of course, as an evidence-minded health professional, you’ll also want to consider what the research says about various dosing software options.
For example, in this study, a group of 22 leaders in the precision dosing field, including 6 pharmacists and 9 pharmacometricians, evaluated 10 dosing software tools—among them, InsightRX Nova. They considered criteria like user-friendliness, user support, population models, and security.
The researchers acknowledged that all of the dosing software tools performed well overall, and that the specific choice comes down to your individual hospital or health system’s needs and preferences.
Of note, InsightRX Nova was among the highest performers in user support (100%), user friendliness, computational aspects, population models, quality and validation, output generation, privacy and data security.
A European study evaluated the accuracy of AUC estimates produced by 5 different Bayesian dosing software options. Researchers concluded that InsightRX “was the most adaptable, visually appealing, easiest to use, and had the most company support.”
A recent Australian study compared Bayesian forecasting software programs and found that “the accuracy of a Bayesian forecast can be influenced not only by the population model but also by choice of forecasting software.” In particular, they found that in DoseMeRx, some sampling times led to significant prediction errors, while this issue was not observed with InsightRX.
Interested in testing out our Bayesian dosing software platform, InsightRX Nova?