# HAS-BLED Score Calculator MCP for AI Agents AI Agent Connect

> HAS-BLED Score Calculator lets you assess major bleeding risks for patients on anticoagulants. It evaluates seven clinical indicators, including hypertension and stroke history, to provide a quantitative score and management recommendations. It's a clinical decision support tool for healthcare professionals.

## Overview
- **Category:** healthcare
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_e91fOKyVvBs3w9eqDoqrf7obui92TPItJT88rGhM/ai-agent-connect
- **Tags:** has-bled, anticoagulation, bleeding-risk, clinical-score, healthcare-calculator

## Description

This Connector helps healthcare providers quickly determine if a patient on oral anticoagulants is at high risk for major bleeding. Instead of manually tracking multiple risk factors like hypertension, stroke history, and age, you can just feed the clinical data to your AI client. It handles the heavy lifting of the scoring system, turning raw patient data into a clear risk level. You'll get a specific score along with management recommendations so you can decide on the safest course of action. It's one of the many specialized tools you can find in the Vinkius catalog to make clinical workflows faster and more accurate. By using this, you move from manual calculation to immediate, actionable risk assessments. It evaluates seven key clinical indicators, including hypertension, abnormal coagulation, stroke history, bleeding history, labile INR, elderly status, and use of drugs or alcohol. This means you don't have to worry about the math or remembering the specific cutoff points for each factor. Your agent does the work, providing a consistent result every time you need to assess a patient's safety.

## Tools

### calculate_has_ble_score
This tool computes the total HAS-BLED integer score based on patient data. It helps you get a specific number for risk assessment.

### get_risk_interpretation
This tool turns a numerical score into a clear risk category. It also provides management recommendations for the patient.

### get_scoring_criteria_reference
This tool provides the exact clinical definitions for each scoring factor. It's useful for double-checking specific criteria like hypertension limits.

## Prompt Examples

**Prompt:** 
```
Calculate the HAS-BLED score for a 70-year-old patient with hypertension, a history of stroke, and recent use of NSAIDs.
```

**Response:** 
```
The calculated HAS-BLED score is 3, indicating a high risk of major bleeding.
```

**Prompt:** 
```
What are the clinical management recommendations for a patient with a HAS-BLED score of 1?
```

**Response:** 
```
A score of 1 indicates low risk. You can continue anticoagulation therapy with routine monitoring as per standard guidelines.
```

**Prompt:** 
```
Show me the criteria used for the HAS-BLED score calculation.
```

**Response:** 
```
The scoring factors include:
- **Hypertension**: Systolic > 160 mmHg
- **Abnormal Coagulation**
- **Stroke history**
- **Bleeding history**
- **Labile INR**
- **Elderly status**: Age ≥ 65
- **Drugs/Alcohol use**
```

## Capabilities

### Calculate the HAS-BLED integer score
It computes a numerical risk score based on a patient's clinical history and current health data.

### Translate scores into risk categories
It turns a raw number into a qualitative risk level with clear management advice.

### Retrieve clinical definitions
It provides the exact criteria for every factor used in the scoring system.

### Identify high-risk patients
It flags patients on anticoagulants who require closer monitoring or treatment changes.

### Standardize risk assessment
It ensures every clinician uses the same evidence-based logic for bleeding risk.

## Use Cases

### Rapid risk assessment during triage
A doctor sees a 70-year-old patient with hypertension and a history of stroke. They need to know the bleeding risk immediately. The agent uses `calculate_has_ble_score` to give a risk of 3 and suggests monitoring.

### Pharmacist medication review
A pharmacist is reviewing a patient's medication and isn't sure if the current dosage is safe for someone with a history of bleeding. They ask the agent to interpret the score using `get_risk_interpretation` to see the qualitative risk.

### Clinical research data verification
A clinical researcher is looking at a patient file and needs to know if a specific blood pressure reading counts toward the score. The agent calls `get_scoring_criteria_reference` to confirm the exact hypertension limit.

### Standardizing clinic protocols
A clinic is setting up a new anticoagulation protocol and needs to explain the scoring to new staff. The agent provides the clinical definitions for all seven factors to help with training and ensure everyone follows the same rules.

## Benefits

- Get instant risk scores for patients by using `calculate_has_ble_score` to process clinical data quickly. This removes the need for manual math and lets you focus on patient care instead of arithmetic.
- Receive clear management recommendations via `get_risk_interpretation` to guide treatment plans. It provides a qualitative risk category that helps you decide on the safest next steps for your patient.
- Ensure high clinical accuracy by checking the exact definitions in `get_scoring_criteria_reference` for every factor. You can verify specific limits for hypertension or coagulation issues in real time.
- Reduce the risk of human error in high-pressure environments by letting your agent handle the HAS-BLED math. It consistently applies the same rules every time, ensuring a standardized level of care.
- Standardize how your entire medical team evaluates patients on anticoagulants across different clinics. By using a shared MCP, everyone follows the same scoring logic, which improves patient safety and coordination.

## How It Works

The bottom line is you get a clear, evidence-based risk assessment for anticoagulated patients in seconds.

1. Provide the AI client with the patient's clinical indicators like age, blood pressure, and history of stroke or bleeding.
2. The AI client calls the calculation tool to generate the HAS-BLED score.
3. You receive a risk category and specific clinical management suggestions.

## Frequently Asked Questions

**What is the HAS-BLED Score Calculator MCP used for?**
It helps healthcare workers quickly assess the risk of major bleeding in patients taking oral anticoagulants. It turns clinical data into a specific score and management plan.

**Can this Connector help with anticoagulation safety?**
Yes. It evaluates seven key risk factors like hypertension and history of stroke to tell you if a patient is at high risk for bleeding while on their medication.

**How does the HAS-BLED Score Calculator work for doctors?**
You provide the patient's clinical details to your AI client. It then uses the Connector to calculate a score and provide qualitative risk categories and management advice.

**Does the HAS-BLED Score Calculator include management advice?**
Yes, it does. When you use the risk interpretation tool, it provides specific management recommendations based on the numerical score the patient received.

**Can I use this to check hypertension limits for scoring?**
Yes. The Connector includes a tool that provides the exact clinical definitions for all scoring variables, including the specific blood pressure limits for hypertension.

**Is this tool suitable for clinical research?**
It's excellent for research because it standardizes the scoring process. You can use it to consistently evaluate risk across different patient groups using the same criteria.

**What is the HAS-BLED score used for?**
It is a clinical scoring system used to identify patients at high risk of major bleeding when using oral anticoagulants like Warfarin or DOACs.

**How do I interpret a high score?**
A score of 3 or higher indicates a high risk of bleeding, necessitating intensified clinical monitoring and careful evaluation of reversible risk factors.

**Which clinical indicators are included in the calculation?**
The score includes hypertension, abnormal coagulation (renal/hepatic), stroke history, bleeding history, labile INR, age (65+), and use of drugs or alcohol.