Automated learning for medical data processing system
First Claim
1. An method comprising:
- receiving clinician note data in a first electronic system that includes patient medical-related data;
processing the clinician note data using a natural language data processor and medical record interpretation rules to automatically convert the clinician note data into an electronic medical record;
sending the electronic medical record to a second electronic system to allow review and modification of the converted clinician note data in the electronic medical record;
receiving feedback data in the first electronic system that indicates modifications to the converted clinician note data in the electronic medical record;
processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record;
analyzing the modifications in the feedback data to determine whether to modify the medical record interpretation rules; and
modifying the medical record interpretation rules in accordance with at least a portion of the feedback data for use in processing subsequently received clinician note data if analysis of the modifications in the feedback data determines to modify the medical record interpretation rules.
3 Assignments
0 Petitions
Accused Products
Abstract
In at least one embodiment, an automated medical data machine learning system and method allow a natural language processing (“NLP”) system to automatically learn via, for example, feedback to improve ongoing performance of the natural language processing system. The particular technology for improving the interpretation by the NLP system of future input data is a matter of design choice. In at least one embodiment, the automated medical data learning system and method includes a linguistics module that determines the part of speech of a particular term or term, such as use as a noun or verb. In at least one embodiment, the system and method learns an interpretation based on a source of the input data. In at least one embodiment, the system and method includes a statistics module that allows the system and method to determine a most probable interpretation or multiple interpretations.
-
Citations
27 Claims
-
1. An method comprising:
-
receiving clinician note data in a first electronic system that includes patient medical-related data; processing the clinician note data using a natural language data processor and medical record interpretation rules to automatically convert the clinician note data into an electronic medical record; sending the electronic medical record to a second electronic system to allow review and modification of the converted clinician note data in the electronic medical record; receiving feedback data in the first electronic system that indicates modifications to the converted clinician note data in the electronic medical record; processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record; analyzing the modifications in the feedback data to determine whether to modify the medical record interpretation rules; and modifying the medical record interpretation rules in accordance with at least a portion of the feedback data for use in processing subsequently received clinician note data if analysis of the modifications in the feedback data determines to modify the medical record interpretation rules. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. An apparatus comprising:
-
one or more processors; and a memory, coupled to the one or more processors, and storing code therein that is executable by the one or more processors for; receiving clinician note data in a first electronic system that includes patient medical-related data; processing the clinician note data using a natural language data processor and medical record interpretation rules to automatically convert the clinician note data into an electronic medical record; sending the electronic medical record to a second electronic system to allow review and modification of the converted clinician note data in the electronic medical record; receiving feedback data in the first electronic system that indicates modifications to the converted clinician note data in the electronic medical record; processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record; analyzing the modifications in the feedback data to determine whether to modify the medical record interpretation rules; and modifying the medical record interpretation rules in accordance with at least a portion of the feedback data for use in processing subsequently received clinician note data if analysis of the modifications in the feedback data determines to modify the medical record interpretation rules. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. A tangible, non-transitory computer readable medium comprising code stored therein and executable by one or more processors for:
-
receiving clinician note data in a first electronic system that includes patient medical-related data; processing the clinician note data using a natural language data processor and medical record interpretation rules to automatically convert the clinician note data into an electronic medical record; sending the electronic medical record to a second electronic system to allow review and modification of the converted clinician note data in the electronic medical record; receiving feedback data in the first electronic system that indicates modifications to the converted clinician note data in the electronic medical record; processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record; analyzing the modifications in the feedback data to determine whether to modify the medical record interpretation rules; and modifying the medical record interpretation rules in accordance with at least a portion of the feedback data for use in processing subsequently received clinician note data if analysis of the modifications in the feedback data determines to modify the medical record interpretation rules. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
-
Specification