Medical Chart Optimization
Clinical Performance Analytic
Medical Chart Optimization
Clinical Performance Analytic
A Cognitive AI system that brings unstructured health information into your workflows and automates the creation of a medical chart summary.
Today, 70% of clinical interactions are documented in notes across different practitioners. Integrating this information into structured systems is time consuming and error prone. Many notes remain siloed from other healthcare data, resulting in an incomplete picture of a consumer’s health status and history.
HealthPointe’s Medical Chart Optimization uses Cognitive Artificial Intelligence (AI) to capture, interpret and integrate unstructured information into a unified health record so you can use it.
Medical Chart Optimization Process
1. Electronic Medical Record (EMR) Integration with Cloud Services for Provider Workflow Optimization
- Unstructured (PDF, Fax, OCR) data is converted into a structured data set
- Then the structured data is normalized
- Dynamic query allows for ease in search
2. Natural Language Processing (NLP)
- Key clinical concepts in the data are identified
- Then these concepts are evaluated using our healthcare clinical knowledge map and tied to treatment standards
3. Natural Language Understanding (NLU)
- Key insights are identified using our Cognitive AI engine
- Medical record insights are packaged into an annotated summary and ready for analytics
