Huniverse Global provides a cloud-based hospital information system (P-HIS) that standardizes clinical data and integrates genomic and life log data with AI and machine learning for personalized healthcare. This system enhances data security and operational efficiency while enabling hospitals to improve patient care through real-time access to standardized medical information.
Funding
$7.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hospitals face challenges in standardizing clinical data and integrating diverse data sources like genomics and patient-generated health data, hindering personalized healthcare delivery. Existing hospital information systems often lack the interoperability and advanced analytics needed for precision medicine.
Solution
Huniverse Global offers a cloud-based precision hospital information system (P-HIS) that standardizes clinical data and integrates genomic and life log data. The platform leverages AI and machine learning to enable personalized healthcare services. The system enhances data security through a separated "medical zone" and improves operational efficiency by standardizing clinical terminology and codes. It facilitates data-driven precision medicine by providing a unified system for data warehousing and analysis, and promotes standardized medical practice across hospitals through cloud-based infrastructure and standardized programs.
Target Audience
The primary target audience includes hospitals and healthcare providers seeking to implement precision medicine, improve data standardization, and enhance operational efficiency through a cloud-based hospital information system.
Features
- Cloud-based infrastructure utilizing a secure "medical zone" to protect sensitive data.
- Standardized clinical terminology and codes for improved data consistency and interoperability.
- Integration of genomic data, life log data, and clinical data for comprehensive patient profiles.
- AI and machine learning capabilities for advanced analytics and personalized treatment recommendations.
- Modular design with 38 modules (24 basic, 14 optional) to customize the system to specific hospital needs.
- Open API for simplified integration with external systems, enhancing extensibility and security.
- Real-time monitoring of prescription input errors to reduce mistakes and save time.
- Role-based access controls and data encryption to ensure HIPAA compliance.