AI-Powered Cardiovascular Risk Prediction

The AI Cardiovascular Risk Prediction Solution by Mindbowser empowers healthcare providers, payers, and researchers to proactively assess patient cardiovascular disease (CVD) risk using advanced machine learning models. Built as a SMART on FHIR application and deployed securely on AWS Cloud, this solution integrates seamlessly with existing EHR/EMR systems to provide real-time, evidence-based risk predictions.

Key Capabilities

1. AI-Powered Risk Prediction – Leverages machine learning and predictive analytics to estimate the likelihood of cardiovascular events based on patient demographics, vitals, lab results, and lifestyle factors.
2. SMART on FHIR Integration – Compatible with leading EHRs (Epic, Cerner, Allscripts, etc.), using the FHIR standard for interoperability.
3. Clinical Decision Support – Provides physicians with actionable insights at the point of care, improving preventive treatment strategies.
4. Cloud-Native on AWS – Secure, scalable, and HIPAA-ready deployment leveraging AWS services such as: -Amazon SageMaker – for training, validation, and inference of ML models. -Amazon RDS & Amazon S3 – for structured and unstructured health data storage. -AWS Fargate/EKS – for containerized, scalable application deployment. -AWS IAM & KMS – for enterprise-grade security and compliance.

Customizable Models – Configurable to population-specific data, ensuring predictions remain accurate across diverse patient cohorts.

Business Outcomes

1. Improved Preventive Care – Early identification of at-risk patients reduces hospitalizations and long-term costs.
2. Enhanced Patient Engagement – Supports patient awareness with data-driven insights into cardiovascular health.
3. Operational Efficiency – Reduces manual risk calculation and paperwork, saving valuable clinician time.
4. Regulatory Compliance – Aligned with HIPAA, HL7 FHIR, and AWS Well-Architected security best practices.

Who Benefits

1. Healthcare Providers – Integrate AI predictions into clinical workflows for timely interventions.
2. Health Insurance Companies – Proactively manage risk and optimize reimbursement strategies.
3. Clinical Researchers – Access accurate, real-world patient risk data to support studies.
4. Digital Health Startups – Build innovative CVD prevention and monitoring platforms powered by AWS.

Engagement Model This offering is provided as a Professional Service engagement via AWS Marketplace. Mindbowser’s healthcare AI experts will:

1. Assess current clinical/EHR infrastructure.
2. Deploy the AI Cardiovascular Risk Prediction solution on your AWS environment.
3. Configure SMART on FHIR integration with your EHR.
4. Train and customize models with your population-specific datasets.
5. Provide documentation, training, and ongoing support.

Security & Compliance

1. End-to-end encryption (in transit and at rest) using AWS KMS.
2. Fine-grained access control via AWS IAM roles.
3. Deployed in compliance with HIPAA, HITRUST, and AWS Well-Architected Framework.
4. No PHI leaves the customer-owned AWS account.

Associated AWS Services This solution is designed to work with the following AWS services:

1. Amazon SageMaker
2. Amazon RDS
3. Amazon S3
4. AWS Lambda
5. AWS Fargate / Amazon EKS
6. AWS IAM
7. AWS KMS

Associated AWS Marketplace Products

1. AWS Data Exchange (for healthcare datasets, optional)
2. Amazon Comprehend Medical (for extracting insights from clinical notes, optional)