加载中
正在获取最新内容,请稍候...
正在获取最新内容,请稍候...
The core API and web application platform for the OpenMRS Electronic Health Record (EHR) system. Provides fundamental data models, services, and user interface components for building and deploying healthcare applications.
OpenMRS Core is the foundational component of the OpenMRS platform, providing the essential backend API and a basic web application for managing core clinical data. It serves as the base upon which modules and implementations are built.
Developing robust, flexible, and standards-based Electronic Health Record (EHR) systems from scratch is complex and resource-intensive. OpenMRS Core provides a foundational platform to accelerate the creation and deployment of such systems, especially in low-resource settings.
Core services and data models for managing patient demographics, visits, encounters, and observations.
Centralized management of medical concepts, diagnoses, procedures, and medications.
Framework for developing and integrating custom modules and extensions.
Role-based access control and audit logging for security and compliance.
OpenMRS Core forms the basis for a wide range of Electronic Health Record implementations.
Deploying OpenMRS in hospitals, clinics, or public health programs to manage patient records.
Provides a ready-to-use, customizable platform for managing patient health information.
Building custom clinical workflows, data collection forms, or reports using the module framework.
Allows healthcare organizations to tailor the EHR system to their specific needs and workflows.
Connecting OpenMRS to external systems like laboratory information systems (LIS) or national health data repositories.
Enables data exchange and interoperability within the broader healthcare ecosystem.
You might be interested in these projects
An efficient open-source library built on Apple MLX for accelerating Text-to-Speech, Speech-to-Text, and Speech-to-Speech tasks directly on Apple Silicon hardware.
Cube’s universal semantic layer platform is the next evolution of OLAP technology for AI, BI, spreadsheets, and embedded analytics
Experience the classic look and feel of the iconic WeatherStar 4000 in your web browser. This project aims to accurately emulate the graphics and data displays of the vintage weather system.