With Generative AI you can now unlock all of the information about a patient.
TURN YOUR CONTENT INSIGHTFUL DATA
Our solution has been updated to use the generative AI techniques to organise and unlock information previously inaccessible in videos, images, audio interviews, etc., to curate more real world data about patients.
COMPONENTS
LabCorp
Enrichment pipeline for Patient Inventory data, predicts chart retrievability through machine learning and integrates address database, to deliver immense quality data for research.AI NLP Models
Machine learning models development for understanding EMRs and enable patient journey creation.Data Engineering
Containerized applications for efficient infrastructure scaling and tools for faster development to production; training data annotation to Model Training Pipeline, deployed in Kubernetes as containers.Chart Retrievability
Improve the chart retrievability from the chart finder by generating chase file with high confident chases, using a chart historical data and variables, predicting the site’s yield.AGGIQ Address Matching
Matching the chart extraction request address with various channels using multiple methods: Edit Distance based weighted fields matching, Latitude-Longitude based proximity, Similarity based on Machine Learning model (xgboost model).Digital Intake
Processing and extracting required information from the patient information request letter: Document Type, Date of Service, Fax Date, Request Letter Date.Named Entities Recognition
ICD10 Code Recognition
Medical Document Type Detection
Patient Details Extraction
Medical Section Identification
PATIENT 360
HEALTHCARE DATA MANAGEMENT
Our client handles massive amounts of unstructured, context-based PII data (video, images). They needed an automated, efficient system to extract insights from that data, while maintaining HIPAA requirement. With Patient360, they were able to:
- Reduce error rate with automated chart retrieval.
- Achieve 95% search accuracy via fully modernized system.
- Reach greater operational efficiency by removing manual tagging and searching.