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Jeffrey Seese Phones & Addresses

  • 2190 Reservoir Heights Dr, Hanover, PA 17331 (717) 698-3387
  • Rockville, MD
  • Hampstead, MD
  • Owings Mills, MD
  • Columbia, MD
  • Baltimore, MD
  • Manheim, PA
  • State College, PA
  • 2190 Reservoir Heights Dr, Hanover, PA 17331

Publications

Us Patents

Document Improvement Prioritization Using Automated Generated Codes

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US 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
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
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.

Computer-Assisted Medical Information Analysis

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US Patent:
20170068781, Mar 9, 2017
Filed:
Feb 18, 2015
Appl. No.:
15/120140
Inventors:
- St. Paul MN, US
Rebecca H. Caux - Colorado Springs CO, US
Jeffrey S. Seese - Hanover PA, US
Assignee:
3M INNOVATIVE PROPERTIES COMPANY - St. Paul MN
International Classification:
G06F 19/00
G06F 17/30
Abstract:
This disclosure describes systems, devices, and techniques for determining discrepancies in medical information. In one example, a computer-implemented method includes receiving clinical documentation related to a patient encounter, receiving one or more selected codes associated with the patient encounter, and determining, by the computing device, one or more suggested codes associated with the patient encounter and based on clinical documentation. The method may also include determining one or more discrepancies between the one or more selected codes and the one or more suggested codes, responsive to determining the one or more discrepancies, generating, based on the one or more discrepancies, a query that indicates the one or more discrepancies and solicits user input resolving the one or more discrepancies, and outputting the query for display.
Jeffrey S Seese from Hanover, PA, age ~48 Get Report