# Geneva Score Calculator MCP for AI Agents AI Agent Connect > Geneva Score Calculator helps you assess pulmonary embolism (PE) risk quickly and accurately. It uses the Revised Geneva Score algorithm to turn patient vitals and history into clear risk tiers. This Connector lets your AI client handle the math while you focus on patient care. ## Overview - **Category:** healthcare - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_bOUPmFiF3QGvw179aIofYJQ6ahDGf7ChfRxwwjMV/ai-agent-connect - **Tags:** pulmonary-embolism, geneva-score, medical, risk-assessment, healthcare ## Description When a patient shows up with suspected pulmonary embolism, the first thing you need to do is figure out how aggressive the treatment needs to be. You're juggling heart rates, surgical history, and age while trying to stay focused on the person in front of you. This Connector takes that weight off your shoulders by letting your AI client handle the Revised Geneva Score calculations. Instead of pulling out a manual and doing mental math, you can just feed the patient's data to your agent. It checks if the numbers make sense first, then gives you a clear risk tier. From there, it tells you exactly what the next steps are, like whether to run a D-dimer or go straight to a CTPA. It's a solid clinical decision support tool that fits right into your workflow. Because Vinkius hosts this in their catalog, it's easy to plug into your existing setup and get started immediately. You get a reliable, standardized way to assess risk without the risk of human error during a busy shift. It helps ensure that every patient gets a consistent evaluation regardless of how busy the clinic is. ## Tools ### validate_clinical_parameters It checks if patient data like heart rate and age are within realistic medical ranges. This ensures that the AI doesn't process impossible numbers during a triage. ### compute_geneva_score It calculates the specific risk score for pulmonary embolism based on provided clinical history. This gives you an accurate risk tier without any manual math. ### get_diagnostic_protocol It provides the standard medical next steps, like D-dimer testing, for a specific risk tier. This helps you decide on the best diagnostic path for the patient. ## Prompt Examples **Prompt:** ``` Calculate the Geneva score for a 70-year-old with a heart rate of 120, recent surgery, and hemoptys. ``` **Response:** ``` The total score is 10, placing the patient in the **High risk** category. ``` **Prompt:** ``` What is the protocol for a low-risk patient? ``` **Response:** ``` For **Low risk** patients, the recommended test is a **D-dimer assay** to rule out embolism. ``` **Prompt:** ``` Check if age 150 and heart rate 40 are valid. ``` **Response:** ``` The validation check confirms these parameters are within physiologically plausible ranges. ``` ## Capabilities ### Validate patient vitals Checks if patient data like heart rate and age are within physiologically plausible ranges. ### Calculate risk scores Computes the Revised Geneva Score for pulmonary embolism risk based on clinical history. ### Retrieve diagnostic protocols Provides recommended medical next steps based on specific risk tiers. ## Use Cases ### ER Triage A doctor asks for a risk score for a patient with a heart rate of 120 and recent surgery. ### Outpatient Follow-up A pulmonologist needs to know the next steps for a low-risk patient after a screening. ### Medical Research A researcher needs to consistently categorize a large dataset of patients by PE risk tier. ### Clinical Training A resident uses the tool to see the standard protocol for a patient with a high Geneva score. ## Benefits - Eliminate manual calculation errors by getting exact risk tiers every time. - Ensure data integrity by catching impossible vitals before they affect the score. - Get standardized treatment paths immediately for different risk levels. - Reduce cognitive load during busy shifts by letting your agent handle the scoring math. - Speed up triage times in emergency departments by automating the initial risk assessment. - Maintain consistency across different clinics by using a single, standardized algorithm. ## How It Works The bottom line is that you get instant, accurate risk assessments and clear diagnostic paths for pulmonary embolism. 1. Provide the AI client with the patient's clinical parameters like age and heart rate. 2. The Connector validates the data for accuracy and calculates the total score. 3. You get the risk category and a clear list of recommended next steps. ## Frequently Asked Questions **Can the Geneva Score Calculator help with pulmonary embolism risk?** Yes, it provides a standardized way to assess the probability of pulmonary embolism based on patient history and vitals. **How does the Geneva Score Calculator work for triage?** It quickly turns clinical data into a risk tier, helping doctors decide how urgently a patient needs intervention. **Is the Geneva Score Calculator accurate for clinical use?** It uses the Revised Geneva Score algorithm, a standard clinical decision support tool for risk assessment. **What diagnostic protocols does the Geneva Score Calculator provide?** It provides standard next steps, such as D-dimer testing or imaging, based on the specific risk tier calculated. **Who should use the Geneva Score Calculator in a hospital?** It is designed for ER physicians, pulmonologists, and medical residents who need consistent risk scoring. **Can I use the Geneva Score Calculator to check patient vitals?** Yes, it includes a validation step to ensure that the vitals you enter are within realistic medical ranges. **How do I calculate the risk score?** Use the `compute_geneva_score` tool by providing patient details like age, heart rate, and clinical indicators such as hemoptysis or recent surgery. **What diagnostic steps are recommended for high-risk patients?** For high-risk patients, the `get_diagnostic_protocol` tool recommends immediate definitive imaging via CTPA. **Can I validate patient data before scoring?** Yes, use the `validate_clinical_parameters` tool to ensure age and heart rate are within physiologically plausible bounds.