Automated Data Management, which streamlines the aggregation, organization, and integration of data, making large-scale information easier to manage and analyze.
AI Data Analysis
Today, clinical data analysis still faces several challenges. For instance, healthcare professionals must manage extensive data from multiple sources, including electronic healthcare records, lab results and images. Integrating these varied sources can be complex and time-consuming. often resulting in fragmented information, additionally, making informed decisions requires analyzing this complex data and extracting relevant insights.
Boeng-Tech (NewBo.AI) aims to create cutting-edge AI solutions to address these healthcare challenges in clinical data analysis through:
Integration of Diverse Data Sources, enabling a cohesive view of patient information by unifying data from various platforms and improving overall coherence.
Unstructured Data Processing, leveraging generative AI and natural language processing to extract valuable insights from unstructured text, making such data more accessible and impactful for clinical use.
Medical Image Processing and Multimodal Analysis, integrating imaging data (e.g., CT, MRI, X-ray) with electronic health records (labs, vitals, notes) to predict patient outcomes with greater precision.
Enhanced Decision-Making, leveraging pattern and trend detection to support more accurate diagnoses and better-informed clinical decisions.