Method and system for the computer-assisted implementation of radiology recommendations

Abstract

A method for the computer-assisted implementation of radiology recommendations includes any or all of: receiving a set of inputs; determining and/or identifying a set of findings; determining a set of follow-up recommendations; and triggering a set of outputs and/or actions based on the set of follow-up recommendations. A system for the computer-assisted implementation of radiology recommendations preferably includes and/or interfaces a set of computing subsystems and/or processing subsystems, but can additionally include and/or interface with a set of devices (e.g., user devices), models, and/or any other components.

We claim: 
     
         1 . A method for computer-assisted implementation of a set of follow-up recommendations associated with a set of patients, the method comprising:
 for each patient of the set of patients:
 receiving a radiology report associated with the patient; 
 automatically processing the radiology report, comprising:
 determining a set of incidental findings in the radiology report, wherein determining the set of incidental findings comprises:
 processing the radiology report with a first set of trained models to detect a set of findings; 
 processing the set of findings with a first set of rule-based logic to determine a first set of features; 
 determining the set of incidental findings based on the first set of features; 
 
 determining a set of follow-up recommendations associated with the set of incidental findings in the radiology report, wherein determining the set of follow-up recommendations comprises:
 processing the radiology report with a second set of trained models to locate a set of recommendation candidate sentences; 
 processing each of the set of recommendation candidate sentences with a second set of rule-based logic to determine: 
  a second set of features for the set of recommendation candidate sentences; and 
  a level of completion for each of the set of recommendation candidate sentences; 
 determining the set of follow-up recommendations based on at least one of the second set of features and the levels of completion; 
 
 
   for the set of patients, initiating a set of follow-up actions in response to automatically processing the radiology report, wherein automatically initiating the set of follow-up actions comprises, automatically:
 scheduling a set of follow-up imaging processes for a first subset of the set of patients; 
 messaging a set of primary care physicians associated with a second subset of the set of patients; and 
 upon detecting that each patient of a third subset of the set of patients does not have a primary care physician, initiating the assignment of a second set of primary care physicians to the third subset of patients; and 
   automatically populating a set of worklists based on the set of follow-up actions.