Health Discovery logo

Health Discovery

by Averbis · Since 2007
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorAverbis
Year launched2007
StatusActive
LocationHauptsitz Salzstraße 15, Freiburg, Baden-Württemberg 79098, DE
Countries servedGlobal
Languages14
Integrations1+
Free tier
Free trial
Contact salesYES

About Health Discovery

Health Discovery is a healthcare software platform from Averbis that structures health data in real-time. It provides Medical Summary, Docs2FHIR, Health Discovery, Medical Dialog, and Consulting so healthcare providers can focus more on patient care and reduce bureaucracy. This platform is designed to facilitate the integration and management of health data for various stakeholders in the healthcare system, improving efficiency and accuracy in healthcare delivery. With capabilities tailored for hospitals and software manufacturers, Health Discovery supports the change of health information into actionable insights. Key capabilities: Medical Summary Docs2FHIR Health Discovery Medical Dialog Consulting Best for: hospitals and software manufacturers that need to manage and simplify health data processing.

Health Discovery by Averbis is a sophisticated deep learning software specifically designed for the healthcare and life sciences sector. Its primary purpose is to enable the extraction, structuring, and analysis of unstructured medical data, such as clinical notes, research papers, and diagnostic reports. By leveraging advanced natural language processing (NLP) and machine learning algorithms, Health Discovery transforms complex medical data into actionable insights. Its core features include customizable NLP pipelines, automatic annotation, entity recognition, and integration with biomedical ontologies, positioning it as a pivotal tool for healthcare professionals and researchers. Health Discovery offers a clean and professional user interface that prioritizes functionality and accessibility. The design is intuitive, enabling users to navigate between modules effortlessly. The drag-and-drop capabilities for building NLP workflows and visual dashboards for monitoring processes enhance usability. Unique design elements, such as interactive data mapping and real-time visualization of extracted medical entities, simplify complex processes. While the software targets data scientists and healthcare experts, the thoughtful design reduces the learning curve even for users new to deep learning or medical data analytics.

Pros & Cons

What users like
  • +1. Advanced Text Mining and NLP Capabilities: Leverages sophisticated algorithms to extract meaningful insights from unstructured medical text data. Understands complex medical terminology and concepts.
  • +2. Improved Clinical Decision Making: Provides valuable insights to support clinical decisions. Enables identification of relevant patient cohorts for research and clinical trials.
  • +3. Enhanced Efficiency: Automates tasks such as coding and billing, reducing manual effort.
  • +Streamlines data analysis and reporting processes.
  • +4. Scalability and Flexibility: Can handle large volumes of data and complex analyses. Adaptable to various healthcare settings and workflows.
  • +5. Data Privacy and Security: Implements robust security measures to protect sensitive patient data. Adheres to industry standards and regulations.
What users flag
  • 1. Implementation Complexity: Requires technical expertise and data integration efforts. May involve significant upfront costs and time investment.
  • 2. Data Quality Dependence: The quality of the extracted insights depends on the quality of the input data. Requires clean and well-structured data for optimal performance.
  • 3. Limited Customization: While customizable to some extent, may not fully meet all specific needs. Requires technical knowledge to modify the system.
  • 4. Potential for Bias: AI algorithms can be biased if trained on biased data. Careful data curation and model training are essential to mitigate bias.
  • 5. Cost: The cost of the software and ongoing maintenance may be significant for some organizations. Requires investment in hardware and infrastructure to support the platform.

Features

Key features

Text Mining and Machine Learning
Analyzes large amounts of unstructured medical text data.
Medical Terminology Understanding
Understands complex medical terminology and concepts.
Data Harmonization
Integrates and harmonizes data from various sources.
Information Extraction
Extracts relevant information such as diagnoses, symptoms, medications, and lab results.
Semantic Search
Enables powerful search capabilities based on semantic understanding.

Additional features

AI-Powered Insights
Leverages AI to uncover hidden patterns and insights.
Clinical Decision Support
Provides valuable insights to support clinical decision-making.
Automated Coding and Billing
Automates the coding and billing process.
Patient Cohort Identification
Identifies patient cohorts for research and clinical trials.
Customizable Workflows
Adapts to specific needs and workflows.
Scalability
Handles large-scale data processing and analysis.
Integration Capabilities
Integrates with existing healthcare systems and data sources.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
14
Interface languages
15
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseDutchRussianChineseJapaneseKoreanArabicTurkishHindi.

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇸🇬SGD🇮🇳INR🇷🇺RUB🇲🇽MXN🇧🇷BRL🇰🇷KRW

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