Systems and methods for constructing clinical pathways within a GUI
First Claim
1. A computer-implemented method of creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining within a graphical user interface (GUI) presented on a display associated with a computing device, the method comprising:
- receiving, via the GUI a plurality of manual selections including;
at least one knowledge-driven variable denoting clinically significant values representing elements of a clinical decision making process, andan anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG);
computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the plurality of manual selections; and
aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes a plurality of nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the plurality of nodes, each link denoting an automatically discovered sequence between two respective nodes;
computing a depth for each node of the plurality of nodes; and
presenting, within the GUI, an arrangement of clusters of nodes, wherein each cluster includes nodes of the plurality of nodes having a common depth.
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Abstract
There is provided a method of creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining comprising: receiving via a graphical user interface (GUI), manual selections including: knowledge-driven variable(s) denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG), computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the manual selections, and aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the nodes, each link denoting an automatically discovered sequence between two respective nodes, and presenting the cohort clinical pathway DAG within the GUI.
49 Citations
20 Claims
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1. A computer-implemented method of creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining within a graphical user interface (GUI) presented on a display associated with a computing device, the method comprising:
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receiving, via the GUI a plurality of manual selections including; at least one knowledge-driven variable denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG); computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the plurality of manual selections; and aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes a plurality of nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the plurality of nodes, each link denoting an automatically discovered sequence between two respective nodes; computing a depth for each node of the plurality of nodes; and presenting, within the GUI, an arrangement of clusters of nodes, wherein each cluster includes nodes of the plurality of nodes having a common depth. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A system for creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining within a graphical user interface (GUI) presented on a display associated with a computing device, comprising:
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a non-transitory memory having stored thereon a code for execution by at least one hardware processor of the computing device, the code comprising; code for receiving, via the GUI a plurality of manual selections including; at least one knowledge-driven variable denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG); code for computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the plurality of manual selections; and code for aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes a plurality of nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the plurality of nodes, each link denoting an automatically discovered sequence between two respective nodes; code for receiving, via the GUI, a manual collapse instruction, and, in response to receiving the manual collapse instruction, aggregating the data-driven event type nodes of the cohort clinical pathway DAG to create a collapsed cohort clinical pathway DAG depicting direct flows between the knowledge-driven nodes; and code for presenting the collapsed cohort clinical pathway DAG within the GUI.
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20. A computer program product for creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining within a graphical user interface (GUI) presented on a display associated with a computing device, comprising:
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a non-transitory memory having stored thereon a code for execution by at least one hardware processor of the computing device, the code comprising; instructions for receiving, via the GUI a plurality of manual selections including; at least one knowledge-driven variable denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG); instructions for computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the plurality of manual selections; and instructions for aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes a plurality of nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the plurality of nodes, each link denoting an automatically discovered sequence between two respective nodes; instructions for receiving, via the GUI, a manual collapse instruction, and, in response to receiving the manual collapse instruction, aggregating the data-driven event type nodes of the cohort clinical pathway DAG to create a collapsed cohort clinical pathway DAG depicting direct flows between the knowledge-driven nodes; and instructions for presenting the collapsed cohort clinical pathway DAG within the GUI.
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Specification