Chart Scrubbing for Payer Care Gap Attestations
via Voice
Scans structured and unstructured EHR data to accurately validate and update care gap statuses.
Est. ROI
6x
Go-live
2-4 weeks
Contents
Value overview
This flow captures revenue and removes manual labor by interpreting notes to prove that the patient's care was finished. It saves $25-$100 per care gap closure identified and saves 2-10 nurse chart reviewer minutes per chart reviewed.
How it works
This flow addresses a registry/list of patients with suspected open or overdue care gaps. It runs a clinical algorithm for one specific care gap to confirm the patient's true status in the EMR—determining if the patient is truly overdue or if a data point was missed, making them compliant or closed for that care gap. This is achieved by leveraging Notable's ability to analyze both structured (discrete data points) and unstructured (e.g., clinical notes) data within the EHR to ensure highly accurate, definitive closure of the care gap status. The care gap algorithms are pre-built based on industry-recognized quality standards, but can also be customized and configured to meet an organization's specific quality measure criteria.
Trigger & Data Ingest
AI Processing
Output / Action
EHR data ingest
Automated job via SFTP sent to Notable with a list of patients, encounters or orders to scrub or with PDF documents that need to be classified or OCRed.
LLM
OCR documents to pull out pertinent information to parse, use LLMs to summarize complex and large amounts of data into a human readable format for findings
EHR Export
Update information within a patients chart via FHIR or HL7