The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 26, 2026

Filed:

Feb. 28, 2019
Applicant:

Fresenius Medical Care Holdings, Inc., Waltham, MA (US);

Inventors:

Andrew W. Long, Brookline, MA (US);

Thomas C. Blanchard, Somerville, MA (US);

Len Usvyat, Boston, MA (US);

Hernando G. Garza, Concord, CA (US);

Jodi Conti, Lakeway, TX (US);

Cara S. Gallagher, Leander, TX (US);

Joanna L. Willetts, Framingham, MA (US);

Hao Han, Lexington, MA (US);

Sheetal Chaudhuri, Arlington, MA (US);

Franklin W. Maddux, Lincoln, MA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01);
Abstract

A system and method for determining patient hospitalization risk and treating patients is disclosed. The system and method may include extracting patient data from one or more databases corresponding to a pool of patients having end stage renal disease; using a predictive model with the extracted patient data to generate, for each of the patients, a respective expected probability for hospitalization within a predetermined time period; identifying a subset of patients having respective expected probabilities that are higher than other patients in the pool of patients; identifying, for each patient, at least one factor from the patient data that increased the expected probability of hospitalization; and based on the identified factors, determining and executing clinical interventions to lower the probability of hospitalization within the subset of the pool of patients.


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