METHODS AND APPARATUS FOR QUEUE-BASED CLUSTER ANALYSIS

METHODS AND APPARATUS FOR QUEUE-BASED CLUSTER ANALYSIS

Methods and apparatus for identifying and analyzing clusters of medical billing claims in a queue to identify a shared root cause issue for the medical billing claims in the cluster. Exemplary methods and apparatus involve grouping each of the plurality of medical billing claims into clusters based...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: SWAIN MICHAEL, CLAYTON WILLIAM, YUN MICHAEL, ANDREEV NIKOLAY, PARNASSA PETER, NIX ROBERT, FITCH LAUREN
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Methods and apparatus for identifying and analyzing clusters of medical billing claims in a queue to identify a shared root cause issue for the medical billing claims in the cluster. Exemplary methods and apparatus involve grouping each of the plurality of medical billing claims into clusters based on predetermined cluster patterns that include at least one attribute, validating the clusters using predetermined criteria to determine if the clusters should be analyzed, discarded, and/or marked for further analysis, collecting information about each of the medical billing claims in clusters, and determining a root cause issue for the medical billing claims in the clusters based on the collected information.