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Health Matrix.tech

Written by

Carissa O'Connell

Aug 2024

Designed and developed a comprehensive Medication Management Module for an Electronic Health Record (EHR) system, aimed at simplifying medication management for healthcare providers. The modular design enables doctors to quickly access essential information at a glance. As technology advances, it's crucial to have a modern EHR system that accommodates the diverse needs of healthcare providers, especially for those who work during the night. To cater to these needs, the program offers a dark mode option, allowing users to switch between color and dark modes according to their preference.

Tech Stack for our EHR system

To create an effective front-end for an Electronic Health Record (EHR) system, a range of technologies will be used to craft a user interface that is intuitive, aesthetically pleasing, and easily accessible for medical professionals.

Front End Development

• HTML, CSS, JavaScript

HTML provides the structure, CSS provides the style, and the Javascript allows for dynamic behavior

• Bootstrap

By using Bootstrap, we can ensure that our EHR system is not only user-friendly but also adaptable to the ever-changing demands of the healthcare industry.

• Mobile-First Approach: Bootstrap is built with a mobile-first philosophy, meaning that the design is optimized for mobile devices before scaling up to larger screens. This is crucial in healthcare, where professionals often access EHR systems on tablets or smartphones.
• Fluid Grid System: The responsive grid system allows developers to create layouts that adjust seamlessly across various screen sizes. This flexibility ensures that any changes to modules will maintain a consistent user experience, regardless of the device being used.

Back End Development

• Node.js with Express.js

Node.js, combined with the Express.js framework, provides a powerful foundation for the HealthMatrix.tech EHR system. This technology stack is specifically designed to deliver a responsive and reliable experience for healthcare professionals.

• Responsive Performance: Leveraging Node.js's non-blocking I/O model, our application can handle multiple requests simultaneously. This ensures that healthcare providers receive quick responses, which is essential for efficient patient care.
• Scalable Architecture: As the demands on our system grow, Node.js's architecture allows us to efficiently store and process large volumes of data. This scalability ensures that we can accommodate increasing workloads without compromising performance.
• Reliable Foundation: The combination of Node.js and Express.js offers a robust platform for developing our healthcare application, enabling us to focus on delivering high-quality services to our users.

By utilizing Node.js with Express.js, we are committed to providing a dependable and efficient EHR system that meets the evolving needs of the healthcare industry.

• Python

Python serves as a cornerstone of the HealthMatrix.tech EHR system's backend technology. Its versatility and robust libraries enable efficient data analysis, machine learning, and seamless integration with other systems, ensuring high-quality patient care.

• Data Analysis and Machine Learning: Python's powerful libraries, such as Pandas and Scikit-learn, facilitate the manipulation and analysis of complex medical data. This allows healthcare professionals to uncover patterns and correlations that inform treatment decisions and improve patient outcomes.
• API and Database Integration: Python's capabilities extend to integrating with external systems through APIs and databases. Libraries like Flask and SQLAlchemy enable seamless communication with laboratories, pharmacies, and insurance providers, ensuring smooth data flow across the healthcare ecosystem.
• Automation and Efficiency: With Python's scripting capabilities, repetitive tasks such as data entry and report generation can be automated. This reduces manual errors and enhances operational efficiency, allowing healthcare professionals to focus more on patient care.
• Security and Compliance: Utilizing frameworks such as Django, Python ensures robust security measures are in place. This includes secure authentication, data encryption, and compliance with healthcare regulations, safeguarding sensitive patient information.

By leveraging Python’s extensive capabilities in data analysis, integration, and automation, HealthMatrix.tech is committed to providing a reliable and efficient EHR system that meets the evolving needs of healthcare providers and their patients.

MySQL

Parts of the Program

Prescription Tab

The Prescription tab within the Medication Management Module provides healthcare providers with a centralized and organized view of their patients' prescribed medications. This feature enables doctors to efficiently access and review crucial medication information, ensuring accurate and informed treatment decisions.

Within the Prescription tab, users can:

• View a comprehensive list of prescribed medications, including the prescription name and the patients who have been prescribed the medication
• Click on a specific medication to access detailed information, including the diagnosis or symptoms it was intended to treat for each patient

This intuitive and user-friendly feature empowers healthcare providers to make informed decisions, improve patient care, and enhance treatment outcomes.

By having a program that encapsulates all the needs of a modern EHR combined with modern desgins and functions, we aim to create a program that will be effective for all health care providers.

Currently, we are working on developing the scope of the project.

Check out the project at Health Matrix.tech.