Analyzing clinical pathways
AssigneeKoninklijke Philips N.V.
InventorPATRICK CHEUNG
Life of this patent
Estimating the term…
Abstract
Methods and systems for studying clinical pathways. Methods and systems described herein implement a two-stage clustering approach for learning clinical pathways. A first clustering procedure is executed on patient data to sort the data into clusters based on clinical path structure. Then a second clustering procedure is executed on the data based on the combination of clinical path structure and relevant contextual variables that affect clinical pathways.
Claims13
A method for studying clinical pathways, the method comprising:
- receiving patient data records using an interface;
- extracting, using an extraction module, a plurality of clinical pathways from the patient data records;
- executing, using a clustering module, a first clustering procedure to sort the plurality of clinical pathways into a plurality of clusters based on the structure of the pathways;
- extracting, using the extraction module, contextual variable data from the patient data records;
- identifying at least one contextual variable from the extracted contextual variable data;
- and
- executing, using the clustering module, a second clustering procedure to sort the plurality of clinical pathways into a second plurality of clusters based on at least one identified contextual variable and the structure of the pathways.
A system for studying clinical pathways, the system comprising:
- an interface configured to receive patient data records;
- a memory;
- and
- a processor executing instructions stored on the memory to provide:
- an extraction module configured to:
- extract a plurality of clinical pathways from the patient data records, and
- extract contextual variable data from the patient data records;
- and
- a clustering module configured to:
- execute a first clustering procedure to sort the plurality of clinical pathways into a plurality of clusters based on the structure of the pathways, wherein the extraction module is further configured to identify at least one contextual variable from the extracted contextual variable data, and
- execute a second clustering procedure to sort the plurality of clinical pathways into a second plurality of clusters based on at least one identified contextual variable and the structure of the pathways.
A computer readable medium containing computer-executable instructions for studying clinical pathways, the medium comprising:
- computer-executable instructions for receiving patient data records using an interface;
- computer-executable instructions for extracting, using an extraction module, a plurality of clinical pathways from the patient data records;
- computer-executable instructions for executing, using a clustering module, a first clustering procedure to sort the plurality of clinical pathways into a plurality of clusters based on the structure of the pathways;
- computer-executable instructions for extracting, using the extraction module, contextual variable data from the patient data records;
- computer-executable instructions for identifying at least one contextual variable from the extracted contextual variable data;
- and
- computer-executable instructions for executing, using the clustering module, a second clustering procedure to sort the plurality of clinical pathways into a second plurality of clusters based on at least one identified contextual variable and the structure of the pathways.
Dependencies are inferred from the claim text.