KNIME Data Connect: Future Health Pioneers Hackathon Winners

Talk 1: Retrieval of CPIC Guidelines from Medications and Genes

We aimed to integrate existing, Clinical Pharmacogenetics Implementation Consortium (CPIC), data into the healthcare workflow to aid clinicians in regular prescribing of medications. The field of pharmacogenomics (PGx) has been rapidly evolving due to the necessity of optimizing treatment for patients. Clinicians are tasked with providing the optimal medication to patients. However, without a way to predict patient response beforehand it can result in trial and error, high medication costs, and delays in finding sufficient treatment. PGx has the capability to predict pharmacologic treatment protocols. Genetic variation has been hypothesized to be a major influence in the drug metabolism between individuals, as well as a contender in reducing adverse reactions (ADRs). Antidepressants, specifically SSRIs (Selective Serotonin Reuptake Inhibitors), are one of the most over prescribed and highly fluctuating between individuals. Dosage and medication type is usually prescribed in a trial and error manner. This can cause unnecessary ADRs, and costs for patients. It becomes vital to create an application to help reduce these negative effects with the help of PGx data and KNIME.

Talk 2 - Reducing Barriers and Improving Safety to Opioid Access with KNIME

In this presentation, Brandon and Alneeda share their project on tackling the opioid epidemic from the KNIME Digital Health Innovation Hackathon. By calculating the Morphine Milligram Equivalents (MME) in alignment with CDC guidelines, the project ensures medication safety. Leveraging KNIME, it seamlessly integrates patient-specific insurance criteria, ensuring a smooth process for medication pick up at the pharmacy. Their project serves as a tool for prescribers, bridging the gap between CDC-established clinical guidelines, individual patient insurance protocols, and the patient-care team. This effectively minimizes the hurdles of communication between payers, who often await chart notes from providers to authorize treatment beforehand, consequently enhancing overall patient care.