Intelligent automatic selection of a prior comparison study
Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.
1. A system for prefetching or precaching a prior comparison image, the system comprising:
an electronic processor configured to,
in response to receiving a new medical image study for an existing patient:
automatically determine a usefulness of a prior comparison image study to the new medical image study by considering whether the prior comparison image study was a last medical mage study viewed before completing a prior report associated with the existing patient, and
automatically prefetch or precache the prior comparison image study based on the determined usefulness of the prior comparison image study to the new medical image study being above a threshold.
2. The system of claim 1 , wherein the electronic processor is configured to automatically select the prior comparison image study based on a selection rule.
3. The system of claim 2 , wherein the electronic processor is configured to disable the selection rule and automatically select the prior comparison image study using the selection model.
4. The system of claim 1 , wherein the electronic processor is configured to automatically select the prior comparison image study using a selection model based on the usefulness of the prior comparison image study to the new medical image study.
5. The system of claim 1 , wherein the electronic processor is configured to automatically determine the usefulness of the prior comparison image study to the new medical image study by considering how long the prior comparison image study was opened.
6. The system of claim 1 , wherein the electronic processor is configured to automatically determine the usefulness of the prior comparison image study to the new medical image study by determining whether the prior comparison image study was a first image study opened by the user.
7. The system of claim 1 , wherein the electronic processor is configured to automatically determine the usefulness of the prior comparison image study to the new medical image study by determining whether, using natural language processing of the prior report associated with the existing patient, references the prior comparison image study.
8. The system of claim 1 , wherein the electronic processor is configured to automatically determine the usefulness of the prior comparison image study to the new medical image study by performing natural language processing of the prior report associated with the existing patient.
9. The system of claim 1 , wherein the electronic processor is configured to automatically determine the usefulness of the prior comparison image study to the new medical image study by identifying whether another prior comparison image study was retrieved for the prior report associated with the existing patient.
10. The system of claim 9 , wherein the electronic processor is configured to automatically determine the usefulness of the prior comparison image study to the new medical image study by comparing the prior comparison image study with another prior comparison image study retrieved for the prior report associated with the existing patient.
11. A method for prefetching or precaching a prior comparison image, the method comprising:
in response to receiving a new medical image study for an existing patient:
automatically determining, with an electronic processor, a usefulness of a prior comparison image study to the new medical image study by considering whether the prior comparison image study was a last study viewed before completing a prior report associated with the existing patient; and
automatically prefetching or precaching the prior comparison image study based on the determined usefulness of the prior comparison image study to the new medical image study being above a threshold.
12. The method of claim 11 , further comprising automatically updating a selection model generated using machine learning based on historical patterns of selection and use of prior comparison studies for a plurality of medical image studies.
13. The method of claim 11 , further comprising automatically selecting the prior comparison image study based on a selection rule.
14. The method of claim 11 , further comprising automatically selecting the prior comparison image study using a selection model.
15. A non-transitory computer readable medium including instructions that, when executed by an electronic processor, causes the electronic processor to execute a set of functions, the set of functions comprising:
in response to receiving a new medical image study for an existing patient:
automatically determining, with an electronic processor, a usefulness of a prior comparison image study to the new medical image study by considering whether the prior comparison image study was a last study viewed before completing a prior report associated with the existing patient; and
automatically prefetching or precaching the prior comparison image study based on the determined usefulness of the prior comparison image study to the new medical image study being above a threshold.
16. The non-transitory computer readable medium of claim 15 , wherein the automatically determining the usefulness of the prior comparison image study to the new medical image study includes automatically determining the usefulness of the prior comparison image study to the new medical image study by determining whether the prior comparison image study was a first image study opened by a user.
17. The non-transitory computer readable medium of claim 15 , wherein the set of functions further includes automatically selecting the prior comparison image study using a selection model.