Healthcare Data Management, Analytics, and AI Platforms

The platform will ingest patient data, perform data preprocessing and feature engineering, train and evaluate machine learning models, and generate personalized progression predictions. It will provide visualizations of predicted trajectories and key influencing factors.

The system should provide care management tools, data aggregation, reporting, and integration capabilities to support efficient and effective care coordination.

The platform will provide real-time patient demand prediction, automated staff scheduling, equipment tracking, and data-driven insights to optimize resource allocation and improve operational efficiency.

The system should allow healthcare providers to automatically schedule surveys, collect patient feedback (both in-office and at-home), analyze sentiment, provide reporting and analytics dashboards, and manage online reputation.

The project requires automating various testing scenarios across the client's applications, including functional, regression, integration, and data validation tests. The automated tests need to leverage datadriven testing for comprehensive coverage and seamlessly integrate with the CI/CD pipeline.

The extension will allow coaches to add health check data to a participant's dossier and generate a comprehensive report that is automatically emailed to the participant.

The system should provide a unified interface for searching, filtering, and visualizing compound data from various data sources. It must support user collaboration and data sharing.

The project aims to develop and integrate new features into the IGX Platform, focusing on data analysis, visualization, and user experience, while maintaining the existing core functionality. It includes features for data transformation, screening analysis, clustering, and sequence visualization.

The system must automatically extract and transcribe prescription data from various RX formats (images, scans, photos) with high accuracy. It should also provide error detection and correction capabilities.

The mobile applications must provide users with access to personalized weight loss programs, track progress, and seamlessly integrate with health and fitness platforms.

The mobile EHR solution will provide a single, unified platform for clinicians to access, manage, and update patient information. It will support core clinical workflows including patient charting, appointment scheduling, e-prescribing, and clinical summaries.

The platform will allow ProEdu and its customers to manage healthcare professional credentials, track training completion, and verify license validity. It will include features for user authentication, credential storage, search, reporting, and automated notifications.