InsightRX Nova
Individualize dosing with comprehensive Bayesian model informed precision dosing (MIPD) software.
Robust pharmacokinetic models help clinicians easily tailor regimens at the bedside to better achieve clinical targets, which can lead to improved treatment efficacy and reduced adverse events.
Streamline clinical decisions
Access critical patient data and dose recommendations in a single, clinician-designed interface.
Personalize dose regimens
Generate personalized dosing regimens using patient-specific data and proven population models.
Remove the guesswork
Predict and prevent adverse events with real-time, model-driven safety alerts.
InsightRX Apollo
Empower pharmacy to drive continual quality improvement through instant access to clinical and operational metrics that matter.
Deploying analytics alongside dosing applications provides leadership with detailed lenses into clinical performance — enabling continued refinement of practice and protocol.
Measure clinical impact
Track key clinical and operational metrics in real time to demonstrate benefits and results.
Easily identify trends
Identify patterns and outliers across drugs, populations, and outcomes.
Generate reports without effort
View performance and clinical outcomes instantly, and without manual data pulls.
InsightRX Continuous Learning
Dynamic monitoring and continual model retraining ensures ongoing accuracy, maximizing patient safety and drug efficacy.
Individualize dosing with precision medicine software that improves over time.
Tailor models to your patients
Utilize continuously refined dosing models with your real-world clinical data.
Advance medication management
Promote safe, effective medication management across your enterprise with precision dosing innovation.
Keep practice up to date
Maintain model accuracy over time with automated monitoring and retraining.
The system dropped our rate of kidney injury for patients on certain antibiotics. Our estimate is that the system ultimately saves us hundreds of thousands of dollars a year, and that may change more as we use it more.
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