Can Gen AI Bring Order to Medical Records? This Startup is Giving it a Shot
Customer Company Size
Startup
Region
- America
Country
- United States
Product
- Hypercube
- Hypercube Cohorts
- Hypercube Charts
- Hypercube Analyst
- Hypercube Build-Your-Own (BYO)
Tech Stack
- Generative AI
- Neuro-Symbolic Reasoning System
- Large Language Models
- Clinical Hypergraph
- Google Cloud
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
- Innovation Output
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Quality Assurance
- Business Operation
Use Cases
- Clinical Image Analysis
- Disease Tracking
- Predictive Maintenance
- Remote Patient Monitoring
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
Mendel is a San Jose-based startup co-founded in 2017 by Karim Galil, a trained physician, and Wael Salloum, an AI scientist. The company is focused on revolutionizing the healthcare industry by leveraging AI to bring order to medical records. Mendel's mission is to move healthcare towards a more objective, data-driven approach while preserving the vital role of physician expertise. The company has positioned itself as a leader in generative AI for healthcare and life sciences, with a leadership team comprising individuals from leading life science institutions and technology companies. Mendel's customer base includes some of the world's leading life sciences companies, and the company is backed by blue-chip investors. Mendel's innovative approach to AI, combined with the power of Google Cloud technology, is paving the way for a more efficient and human-centered healthcare system.
The Challenge
For more than two decades, healthcare systems have been moving towards greater adoption of electronic health records, but the process has been fraught with challenges, particularly in the United States. The fragmentation and siloing of patient care, as individuals move between different healthcare providers, have made it difficult to maintain comprehensive and accurate medical records. This fragmentation is exacerbated by the complexity of clinical data, which includes both structured and unstructured information. Traditional methods of managing this data, such as SQL queries with SNOMED CT data models, have proven to be inefficient and error-prone. The lack of clinical reasoning in these traditional workflows has limited the potential for meaningful insights and improvements in patient care. Mendel aims to address these challenges by leveraging AI to unify electronic health records and provide a more objective, data-driven approach to healthcare.
The Solution
Mendel employs a unique blend of technologies to achieve its vision for clinical AI. The company leverages generative AI models that learn complex patterns and relationships within patient data. A key component of Mendel's solution is the clinical hypergraph, a multi-dimensional knowledge graph that enriches and structures medical information and relationships. This approach ensures explainability and consistency in AI outputs. Mendel's Neuro-Symbolic Reasoning System is specifically designed for clinical data workflows and analytics, coupling large language models with a clinical knowledge hypergraph. This system leverages the latest advances in large language models while ensuring explainability and limiting hallucinations with Symbolic AI. Mendel's latest offering, Hypercube, is a chat interface designed to make accessing and analyzing clinical data easier and more reliable. Hypercube offers features such as Hypercube Cohorts, Hypercube Charts, Hypercube Analyst, and Hypercube Build-Your-Own (BYO), each designed to enhance clinical reasoning and improve decision-making in healthcare settings.
Operational Impact
Quantitative Benefit
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