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Aluna Health
Open-Source AI Ecosystem for Precision Medicine

What is Aluna Health?

Aluna Health harnesses artificial intelligence to transform clinical and research operations within healthcare. The platform automates workflows and improves healthcare data management to support precision medicine, using both rule-based and machine learning models derived from the latest scientific research, evidence, and clinical pathways. It features modular solutions that are scalable and customizable, meeting the needs of providers, researchers, patients, and administrators, and can be deployed individually or collectively for comprehensive efficiency.

The solution-as-a-service model delivers secure, evidence-based clinical decision support, smart data integration, analytics, and curated patient recommendations. By creating an open-source repository akin to a clinical 'GitHub,' Aluna Health facilitates collaboration among practitioners and researchers for improved diagnostics, treatment, and operational outcomes throughout the healthcare value chain.

Features

  • Automated Workflow Engine: Integrates clinical guidelines, research, and molecular data for evidence-based decision support
  • Modular & Scalable Solutions: Offers customizable, secure health management tools for various healthcare stakeholders
  • Open-Source Clinical Algorithms: Provides a growing repository of decision-making algorithms for precision medicine
  • Data Integration & Structuring: Aggregates, cleanses, and curates healthcare data for actionable insights
  • Clinical Trial Matching: Uses AI for patient-trial eligibility and management
  • Smart Search & Filtering: Facilitates advanced search and filtering for clinical evidence and knowledge

Use Cases

  • Automating clinical decision-making for healthcare providers
  • Supporting researchers with clinical trial management and outcome measurements
  • Delivering patient education, care planning, and curated recommendations
  • Providing real-time analytics and critical alert management for hospital administrators
  • Standardizing evidence curation and clinical knowledge sharing among healthcare teams

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