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Personalized health risk assessment for critical care

  • US 8,990,135 B2
  • Filed: 10/05/2011
  • Issued: 03/24/2015
  • Est. Priority Date: 06/15/2010
  • Status: Active Grant
First Claim
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1. A computer-implemented method of assessing whether a patient is at risk of developing a clinical condition, the method comprising:

  • receiving from a database training data representing a set of patient-related variables for each of a plurality of patients;

    generating model data via a computer based on the received training data;

    receiving target data representing the set of patient-related variables for a target patient;

    determining via the computer a risk level for the target patient of developing the clinical condition, wherein determining the risk level includes performing one or more calculations involving the received target data and the generated model data; and

    indicating the risk level of developing the clinical condition,whereini) when the clinical condition is a mortality condition, the set of patient-related variables consists of between three and ten variables selected from the group consisting of;

    functional health status prior to surgery, American Society of Anesthesiologists (ASA) classification, preoperative serum albumin, age, presence of disseminated cancer, preoperative blood urea nitrogen (BUN), do-not-resuscitate (DNR) status, emergent versus non-emergent case, work relative value unit, and presence of ascites, andii) when the clinical condition is a morbidity condition, the set of patient-related variables consists of between three and ten variables selected from the group consisting of;

    ASA classification, work relative value unit, preoperative serum albumin, emergent versus non-emergent case, functional health status prior to surgery, inpatient versus outpatient case, preoperative systemic sepsis, age, steroid use for chronic condition, and weight.

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