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Development of a Hypertension Management Platform with Automated Medication Recommendations

buildableworks.com

Health & Fitness

Challenges in Personalized Hypertension Treatment

Healthcare providers face challenges in effectively managing hypertension due to the complex interplay of patient-specific factors and the need for timely, data-driven medication recommendations. Manual analysis of patient data is time-consuming and prone to inconsistencies, potentially leading to suboptimal treatment plans and adverse patient outcomes. The lack of seamless integration between Electronic Health Records (EHR) and recommendation systems further complicates the process.

About the Client

A large integrated healthcare provider network focused on delivering comprehensive patient care and leveraging technology to improve health outcomes.

Project Goals

Develop a web application that provides healthcare providers with data-driven insights and medication recommendations for hypertension treatment.
Integrate the application with Epic EHR to enable automated data synchronization.
Improve the efficiency and accuracy of hypertension treatment decisions.
Enhance patient health outcomes by facilitating personalized medication management.
Ensure HIPAA compliance and robust data security.

System Functionality

Automated data import from Epic EHR.
Algorithm-driven medication recommendations based on patient data.
Integration with Epic EHR for seamless recommendation delivery.
User role management and access control.
HIPAA-compliant data storage and security.
Visualization of patient health data relevant to hypertension management.
Auditing of all system activities.

Technology Stack

.NET Core

Entity Framework

LINQ

MSSQL Server

External System Integrations

Epic EHR
Redox (or similar HL7/FHIR integration platform)
Omron (or other blood pressure monitoring device integration)

Non-Functional Requirements

Scalability to accommodate a growing user base and data volume.
High availability and reliability.
Robust security measures to protect patient data.
Responsive design for optimal viewing on various devices.
Performance optimized for fast response times.

Expected Business Impact

This platform is expected to significantly improve the efficiency of hypertension treatment, leading to better patient outcomes, reduced healthcare costs through optimized medication prescriptions, and enhanced provider satisfaction. The automated data analysis and recommendation engine will free up provider time, allowing them to focus on patient care and improve overall quality of service. Improved adherence to treatment plans will also contribute to better health outcomes.