Resumes
Resumes
Julie Imburgia Phones & Addresses
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Draper, UT
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Kamas, UT
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Salt Lake City, UT
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Cape Coral, FL
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8588 27Th St, Pompano Beach, FL 33065 (954) 753-6931
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Coral Springs, FL
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Tallahassee, FL
Publications
Us Patents
Document Improvement Prioritization Using Automated Generated Codes
View pageUS Patent:
20200227175, Jul 16, 2020
Filed:
Jan 9, 2020
Appl. No.:
16/738442
Inventors:
- St. Paul MN, US
Julie L. Imburgia - Draper UT, US
Jeffrey S. Seese - Hanover PA, US
Nicholas J. Raddatz - St. Paul MN, US
Dominick R. Rocco - Minneapolis MN, US
Julie L. Imburgia - Draper UT, US
Jeffrey S. Seese - Hanover PA, US
Nicholas J. Raddatz - St. Paul MN, US
Dominick R. Rocco - Minneapolis MN, US
International Classification:
G16H 50/70
G16H 10/60
G16H 50/20
G16H 70/20
G16H 70/60
G06F 40/253
G06F 40/284
G06F 40/295
G16H 10/60
G16H 50/20
G16H 70/20
G16H 70/60
G06F 40/253
G06F 40/284
G06F 40/295
Abstract:
A computer implemented method includes receiving text-based clinical documentation corresponding to a patient treated at a healthcare facility, converting the text-based clinical documentation to create a machine compatible converted input having multiple features, providing the converted input to a trained machine learning model that has been trained based on a training set of historical converted clinical documentation by the first entity, receiving a prediction from the trained machine learning model, wherein the prediction corresponds to at least one of a predicted diagnostic related group (DRG) code or a set of predictions comprising a predicted principal diagnosis code for provision to a DRG calculator to determine the DRG code, and assign a priority score at least partially based on the prediction.