Method and system for computer-aided triage
A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.
1. A method for computer-aided triage, the method comprising, at a remote computing system remote from a first point of care:
receiving, at the remote computing system, a set of Digital Imaging and Communications in Medicine (DICOM) images associated with the patient and taken at the first point of care, wherein the set of DICOM images is concurrently sent to a standard radiology workflow operating in parallel with the method, wherein, in the standard radiology workflow, a radiologist analyzes the set of DICOM images at the first point of care and notifies a specialist based on a visual assessment of the set of DICOM images at a workstation, wherein the standard radiology workflow takes a first amount of time;
at the remote computing system, automatically detecting a potential pathology from the set of DICOM images based on an automated processing of the set of DICOM images;
upon detecting the potential pathology from the set of DICOM images, automatically:
determining, at the remote computing system, the specialist from the standard radiology workflow, wherein the specialist is associated with a second point of care;
notifying the specialist on a mobile device associated with the specialist, wherein the specialist is notified in a second amount of time shorter than the first amount of time, wherein the radiologist is not automatically notified upon potential cerebral artery occlusion detection;
displaying a compressed version of the set of DICOM brain images on the mobile device; and
displaying a high-resolution version of the set of DICOM brain images on a workstation associated with the specialist;
receiving an input from the specialist, wherein the input initiates a transfer request;
receiving the transfer request at a second workstation located at the first point of care;
initiating a transfer of the patient from the first point of care to the second point of care upon transfer request receipt.
2. The method of claim 1 , wherein the automated processing comprises:
segmenting the set of DICOM images to isolate a region associated with the potential pathology;
calculating a parameter associated with the region;
comparing the parameter with a predetermined threshold; and
detecting the potential pathology based on the comparison.
3. The method of claim 2 , wherein the set of DICOM images comprises a set of DICOM brain images, and wherein:
the region comprises a vessel region of the brain;
the parameter quantifies an occlusion in the vessel region; and
the potential pathology comprises a vessel occlusion.
4. The method of claim 1 , wherein the second amount of time is less than 8 minutes.
5. The method of claim 1 , wherein processing the set of DICOM images is initiated after a predetermined time period has passed after receiving at least a first of the set of DICOM images at the remote computing system.
6. The method of claim 1 , wherein the automated processing is configured to detect the potential pathology with a specificity below a predetermined threshold.
7. The method of claim 1 , wherein notifying the specialist comprises presenting a notification on the mobile device, the method further comprising, prior to displaying the compressed version of the set of DICOM images:
monitoring for an input associated with the notification;
displaying the compressed version of the set of images on the mobile device after receipt of the input; and
when the input is not received within a predetermined time threshold, determining a second specialist and presenting the notification on a second mobile device associated with the second specialist.
8. The method of claim 7 , wherein the radiologist is not automatically notified upon detecting the potential pathology, wherein the radiologist in the standard radiology workflow notifies the specialist at a second time after notifying the second specialist on a mobile device.
9. The method of claim 7 :
wherein a mobile device application executing on the mobile device presents the notification and displays the compressed version of the set of images, wherein the specialist is logged into the mobile device application through a specialist account; and
wherein a workstation application executing on the workstation associated with the specialist displays the high-resolution version of the set of images, wherein the specialist is logged into the workstation application through the specialist account.
10. A method for computer-aided triage, the method comprising, at a remote computing system remote from a first point of care:
receiving, at the remote computing system, a set of Digital Imaging and Communications in Medicine (DICOM) images associated with the patient and taken at the first point of care, wherein the set of DICOM images is concurrently sent to a standard radiology workflow operating in parallel with the method, wherein, in the standard radiology workflow, a radiologist analyzes the set of DICOM images at the first point of care and notifies a specialist based on a visual assessment of the set of DICOM images at a workstation, wherein the standard radiology workflow takes a first amount of time;
at the remote computing system, automatically detecting a potential pathology from the set of DICOM images based on an automated processing of the set of DICOM images;
upon detecting the potential pathology from the set of DICOM images, automatically:
determining, at the remote computing system, the specialist from the standard radiology workflow, wherein the specialist is associated with a second point of care;
notifying the specialist on a mobile device associated with the specialist, wherein the specialist is notified in a second amount of time shorter than the first amount of time, wherein the radiologist is not automatically notified upon potential pathology detection;
displaying a compressed version of the set of DICOM brain images on the mobile device; and
displaying a high-resolution version of the set of DICOM brain images on a workstation associated with the specialist; and
receiving an input from the specialist, wherein the input initiates a transfer of the patient.
11. The method of claim 10 , further comprising receiving a transfer request at a second workstation located at the first point of care.
12. The method of claim 11 , further comprising initiating a transfer of the patient from the first point of care to the second point of care upon transfer request receipt.
13. The method of claim 10 , wherein the automated processing comprises:
segmenting the set of DICOM images to isolate a region associated with the potential pathology;
calculating a parameter associated with the region;
comparing the parameter with a predetermined threshold; and
detecting the potential pathology based on the comparison.
14. The method of claim 13 , wherein the set of DICOM images comprises a set of DICOM brain images, and wherein:
the region comprises a vessel region of the brain;
the parameter quantifies an occlusion in the vessel region; and
the potential pathology comprises a vessel occlusion.
15. The method of claim 10 , wherein the second amount of time is less than 8 minutes.
16. The method of claim 10 , wherein processing the set of DICOM images is initiated after a predetermined time period has passed after receiving at least a first of the set of DICOM images at the remote computing system.
17. The method of claim 10 , wherein the automated processing is configured to detect the potential pathology with a specificity below a predetermined threshold.
18. The method of claim 10 , wherein notifying the specialist comprises presenting a notification on the mobile device, the method further comprising, prior to displaying the compressed version of the set of DICOM images:
monitoring for an input associated with the notification;
displaying the compressed version of the set of images on the mobile device after receipt of the input; and
when the input is not received within a predetermined time threshold, determining a second specialist and presenting the notification on a second mobile device associated with the second specialist.
19. The method of claim 18 , wherein the radiologist is not automatically notified upon detecting the potential pathology, wherein the radiologist in the standard radiology workflow notifies the specialist at a second time after notifying the second specialist on a mobile device.
20. The method of claim 10 :
wherein a mobile device application executing on the mobile device presents the notification and displays the compressed version of the set of images, wherein the specialist is logged into the mobile device application through a specialist account; and
wherein a workstation application executing on the workstation associated with the specialist displays the high-resolution version of the set of images, wherein the specialist is logged into the workstation application through the specialist account.