Citation Analysis and Survey Assistant (CASA - Nursing Home Survey CMS 2567)
Description
CASA enhances the efficiency and effectiveness of monitoring and reviewing nursing home surveys across the US. It enhances how the Quality, Safety, and Oversight Group (QSOG) and Survey Operations Group (SOG) assess how State Survey Agencies (SSAs) are citing nursing home deficiencies, reported on CMS Form 2567, by employing advanced natural language processing and machine learning technologies.
Detailed example
An application which provides Nursing Home Oversight groups an interface to view, track and utilize all the features supported by aforementioned ML/AI powered processes.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Speeds up the manual and time-consuming process of survey review and citing nursing home deficiencies, reported on CMS Form 2567, by employing advanced natural language processing and machine learning technologies.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
It uses data from Nursing Home Care Compare website. A model/process that uses an LLM and few-shot learning to identify Extent and Sample from deficiency text. Accuracy metrics generated by comparing development outcome with labeled data collected from Labeling jobs.