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Patent Application: Predicting ICU Patient Length of Stay

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Summary

The USPTO has published a new patent application (US20260088160A1) detailing methods and systems for predicting a patient's length of stay in an intensive care unit (ICU). The application describes improved predictive models that analyze patient data to generate LOS predictions.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

This document is a published patent application from the USPTO (Application No. 19109855, Publication No. US20260088160A1) filed on September 14, 2023. It describes methods and systems for predicting a patient's length of stay (LOS) in an intensive care unit (ICU), aiming for improved performance over existing models. The described system involves obtaining patient records, extracting prediction features, analyzing them with a trained model, generating an LOS prediction, and presenting it via a user interface.

As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on healthcare providers. However, the underlying technology described could influence future healthcare operations, data analytics practices, and potentially inform the development of new clinical decision support tools. Compliance officers in healthcare technology or providers developing such systems should be aware of this patent filing as it pertains to intellectual property in health informatics.

Archived snapshot

Mar 26, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

METHODS AND SYSTEMS FOR PREDICTING INTENSIVE CARE UNIT PATIENT LENGTH OF STAY

Application US20260088160A1 Kind: A1 Mar 26, 2026

Inventors

LOUIS NICOLAS ATALLAH, OMAR BADAWI, XINGGANG LIU, ROBIN FRENCH, PAMELA JAYNE AMELUNG JAYNE AMELUNG

Abstract

The present disclosure relates to methods and systems for predicting a length of stay (LOS) for a patient in an intensive care unit (ICU). As described herein, the methods and systems for generating a prediction of ICU LOS present improved performance over existing available predictive models. In certain embodiments, the methods described herein include: providing an ICU LOS prediction system; obtaining a plurality of records for a patient in an ICU covering at least a first time period; extracting a plurality of different defined ICU LOS prediction features for the patient; analyzing the extracted plurality of different defined ICU LOS prediction features using a trained developed ICU LOS prediction model; generating a prediction of ICU LOS for the patient based on the analysis; and presenting the generated prediction of ICU LOS for the patient via a user interface.

CPC Classifications

G16H 40/20 G16H 10/60

Filing Date

2023-09-14

Application No.

19109855

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Last updated

Classification

Agency
USPTO
Published
September 14th, 2023
Instrument
Notice
Legal weight
Non-binding
Stage
Draft
Change scope
Minor
Document ID
US20260088160A1

Who this affects

Applies to
Healthcare providers
Industry sector
6211 Healthcare Providers
Activity scope
Clinical Decision Support
Geographic scope
United States US

Taxonomy

Primary area
Healthcare
Operational domain
IT Security
Topics
Health Informatics Data Analytics

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