The Rx Studio Platform
For true personalization, the assessment of a patient's next dose needs to be informed by multiple physiological contexts in real time, eg. demographics, medical history, therapeutic monitoring results, drug interactions, genetic & epi-genetic risk factors, metabolic pre-dispositions, eating habits etc.
Our clinical decision support platform is built to:
- Maximize the use of contextual patient information
- Minimize the time needed for a clinical decision
- Go beyond population models, to integrate real-time patient data feedback
- Provide technological embedding of recommendations at the point of decision
Standard & Custom PK/PD/PGx Models to forecast drug response
- Our standard models include the top antibiotic drug molecules used worldwide
- Other models need EHR integration are custom built to ensure integrity
Easy-to-use web applications
- Intuitive front-end available on any device and platform (mobile, tablet, desktop)
- Downloadable applications on Windows, macOS, Linux, Android and iOS for seamless platform access and user experience
- Support for locale unit of measurements (e.g. metric and imperial system), date and time formats, translated app interface and reports
Rich interactive reporting to inform decisions & auditability
- View dose response forecast timeline
- Warnings for model edge cases
- PDF report for non-EHR documentation
EHR integrations to save time and maximize patient context
- Available as HL7/FHIR SMART Apps
- Prevent errors and save data entry time
- Automate case history with custom workflows
- Integrate genomic data in decisions
Developer SDKs and APIs for embedding recommendations
- Run your own R/Python/Julia models using our developer SDKs
- Scaled REST API support with response SLAs for embedded applications