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US 11,538,571 B1Granted
Virtual worklist for analyzing medical images
AssigneeCompressus, Inc.
InventorsAlbert Hernandez, Simon Liao, Raymundo Anaya, Laszlo R. Gasztonyi, Ronald G. Gesell, Bernadette Baclig, Joel Rosenfield
Life of this patent
Estimating the term…
Abstract
Methods and systems for automating and managing efficient workflow for the viewing and analysis of diagnostic images within a healthcare enterprise network generate virtual worklists listing of healthcare data orders allocated to a specific destination. The methods and systems can provide flexible worklist viewing, system administration, and maximized diagnostic throughput.
Claims18
A method comprising:
- automating and managing workflow for healthcare data retrieval, display, and analysis on a healthcare enterprise network and establishing interoperability between nodes of the healthcare enterprise network, wherein the automating and managing workflow and establishing the interoperability between nodes of the healthcare network comprise:
- receiving a study order for a patient from a first workstation of an imaging system on the healthcare enterprise network, wherein the study order contains data associated with at least one study image;
- storing the study order in a master worklist on a network server as an uncompleted study order;
- collecting and organizing network locations of data related to a patient in an enterprise-wide database using interrelated data structures in a computer memory to store the data related to the patient so that programmed rules provided to a workflow manager can test the contents of the various fields of the data structures to determine a destination group of a study order in the worklist;
- testing the contents of the various fields of the data structures to determine the destination group of a study order;
- applying a workflow routing rule to data associated with the at least one study image contained in the study order to a route the workflow to determine the destination group, wherein the workflow routing rule depends on at least one of a criticality of the study order, image modality, and a body part in the at least one study image, the routing rules are implemented in enterprise-specific, locally-defined tables that are utilized to automatically route patient studies based on an at least imaging property of the study order, the routing rules comprise conditional rules that depend upon on loads and responsiveness of destinations to facilitate balancing routing workloads;
- adding the study order to a first filtered worklist which is specific to the destination group;
- acquiring study order related data from the nodes of the healthcare enterprise network, wherein sets of the study order related data have differing formats;
- manipulating file characteristics of the data including compiling the data from a variety of differing formats on a number of workstations into a common format, to render the data accessible by a workstation of the destination group to establish the interoperability between the nodes of the healthcare enterprise network;
- storing information related to the study order in a designated memory associated with the destination group;
- displaying the first filtered worklist on a second workstation in use by a logged-in user who is a member of the destination group;
- making accessible to the second workstation an image of the primary study of the patient associated with the study order;
- accepting a claim of the study order from the logged in user;
- preventing the claimed study order from being claimed by any other user;
- receiving a report created by the logged-in user;
- routing the report, in accordance with the modifiable, enterprise-specific, locally-defined tables, to a designated repository while the study order is claimed by the logged-in user;
- removing the study order from the first filtered worklist from any other filtered worklist on which the study order appears;
- sending an indication to the first workstation that the study order has been completed;
- marking the study order in the master worklist as complete;
- updating historical diagnostic throughput information based on a measured diagnostic throughput of the study, wherein the measured diagnostic throughput comprises an elapsed amount of time or expense between receiving the study order and marking the study order as complete;
- and
- adjusting the workflow routing rule base on the updated historical diagnostic throughput information.
19 more elements
Dependencies are inferred from the claim text.