US 12,131,810 B2
Automated code feedback system
Derek L. Nichols, Douglasville, GA (US)
Assigned to Solventum Intellectual Properties Company, Maplewood, MN (US)
Filed by Solventum Intellectual Properties Company, Maplewood, MN (US)
Filed on Feb. 18, 2022, as Appl. No. 17/651,613.
Application 17/651,613 is a continuation of application No. 16/193,443, filed on Nov. 16, 2018, granted, now 11,282,596.
Claims priority of provisional application 62/590,114, filed on Nov. 22, 2017.
Prior Publication US 2022/0172810 A1, Jun. 2, 2022
Int. Cl. G16H 15/00 (2018.01); G06F 40/274 (2020.01); G06F 40/35 (2020.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/26 (2006.01)
CPC G16H 15/00 (2018.01) [G06F 40/274 (2020.01); G06F 40/35 (2020.01); G10L 15/18 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method performed by at least one computer processor executing computer program instructions stored on at least one non-transitory computer-readable medium, the method comprising:
(1) at an audio capture component:
(1)(a) capturing a first portion of speech of a healthcare provider and a first portion of speech of a patient;
(1)(b) producing a first audio signal representing the first portion of speech of the healthcare provider and the first portion of speech of the patient;
(2) at an automatic speech recognition/natural language understanding (ASR/NLU) component, generating, based on the first audio signal, a first data structure containing: (a) first text, within a document, the first text representing first speech of the healthcare provider and first speech of the patient; (b) a first concept; and (c) a first association between the first text and the first concept;
(3) in real-time, and before the healthcare provider has produced all of the speech as part of a healthcare provider/patient encounter, at a medical code generator module:
(3)(a) generating a first medical code automatically based on the first text and the first concept; and
(3)(b) incorporating the first medical code into the document;
(4) at the audio capture component:
(4)(a) capturing a second portion of speech of the healthcare provider and a second portion of speech of the patient;
(4)(b) producing a second audio signal representing the second portion of speech of the healthcare provider and the second portion of speech of the patient;
(5) at the automatic speech recognition/natural language understanding (ASR/NLU) component, generating, based on the second audio signal, a second data structure containing: (a) second text, within the document, the second text representing second speech of the healthcare provider and second speech of the patient; (b) a second concept; and (c) a second association between the second text and the second concept; and
(6) at the medical code generator module:
(6)(a) generating a second medical code automatically based on the second text and the second concept; and
(6)(b) incorporating the second medical code into the document.