Supportive Care Severity of Illness Score Component for Acute Care Patients

• US 20160188833A1
• Filed: 12/30/2014
• Published: 06/30/2016
• Est. Priority Date: 12/30/2014
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Kramer, Andrew A.
• Application Number:
  US14/585,951
• Publication Number:
  US 20160188833A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Systems, methods, and computer storage media are provided for determining a patient'"'"'s severity of illness score (pSIS) for a patient admitted to an acute care facility. Data is received corresponding to medical support a patient is receiving from an electronic medical record associated with the patient admitted to an acute care healthcare facility. The data is associated with support variables present in a patient upon admission or administered to the patient within an initial time period from admission. Support variables include both pharmaceutical-type variables and medical device-type variables. Weights are assigned to each support variable associated with the patient. A patient'"'"'s pSIS is determined by summing the weights. The pSIS accounts for effects that medical support a patient is receiving has on the patient'"'"'s physiology.

Claims

1. A computer system for determining a patient'"'"'s severity of illness score (pSIS) for a patient admitted to an acute care healthcare facility, the computer system comprising one or more processors coupled to a computer storage medium, the computer storage medium having stored thereon a plurality of computer software components executable by the one or more processors, the computer software components comprising:

a receiving module that is configured to receive data corresponding to medical support a patient is receiving from an electronic medical record associated with the patient admitted to an acute care facility, the data associated with support variables present in a patient upon admission or administered to the patient within an initial time period from admission;

an identification module that is configured to identify support variables associated with the patient using the received data; and

a determining module that is configured to determine the pSIS for the patient by summing weights associated with each support variable identified.

2. The computer system of claim 1, wherein the initial time period from admission is twenty-four hours.

3. The computer system of claim 1, further comprising a weight module that is configured to assign weights to each support variable identified, the weights associated with each support variable derived using logistic regression coefficients associated with each support variable.

4. The computer system of claim 3, wherein the logistic regression coefficients for each support variable are determined with a final pSIS regression model that predicts the patient'"'"'s mortality probability.

5. The computer system of claim 4, wherein the final pSIS regression model is derived using a data set corresponding to medical support from an electronic medical record associated with a group of patients admitted to acute care facilities.

6. The computer system of claim 5, wherein the group of patients admitted to acute care facilities includes patients admitted to all levels of care within acute care facilities.

7. The computer system of claim 5, wherein data associated with patients identified as having a probability of in-facility mortality below a minimal threshold is excluded from the data set.

8. The computer system of claim 1, wherein the data associated with support variables includes one or more of anti-arrhythmic medication, antibiotics medication given intravenously, inotrope medication, insulin medication given intravenously, or vasopressor medication given intravenously.

9. The computer system of claim 1, wherein the data associated with support variables includes one or more of dialysis, intubation, invasive mechanical ventilation, non-invasive mechanical ventilation, or pacemaker implanted in the patient.

10. One or more computer hardware storage media having computer-executable instructions embodied thereon that, when executed by a computing device, cause the computing device to perform a method for determining a patient'"'"'s severity of illness score (pSIS) for a patient admitted to an acute care healthcare facility, the method comprising:

receiving data corresponding to corresponding to medical support a patient is receiving from an electronic medical record associated with the patient admitted to an acute care facility, the data associated with support variables present in a patient upon admission or administered to the patient within an initial time period from admission;

assigning weights to each support variable present, the weights associated with each support variable derived using logistic regression coefficients associated with each support variable; and

determining the pSIS for the patient by summing the weights.

11. The media of claim 10, wherein the method further comprises identifying support variables associated with the patient based on the received data.

12. The media of claim 11, wherein each support variable associated with the patient is identified using medical codes to analyze the received data.

13. The media of claim 12, wherein medical codes include one or more of diagnostic codes, billing codes, procedural codes, topographical codes, pharmaceutical codes.

14. The media of claim 10, wherein the data associated with support variables originates from one or more sources including a clinician'"'"'s notes, laboratory results, radiologic results, pharmacy records, insurance records.

15. The media of claim 10, wherein the data associated with support variables includes one or more of anti-arrhythmic medication, antibiotics medication given intravenously, inotrope medication, insulin medication given intravenously, vasopressor medication given intravenously, dialysis, intubation, invasive mechanical ventilation, non-invasive mechanical ventilation, or pacemaker implanted in the patient.

16. A method for determining a patient'"'"'s severity of illness score (pSIS) for a patient admitted to an acute care healthcare facility, the method comprising;

receiving data corresponding to medical support a patient is receiving from an electronic medical record associated with the patient admitted to an acute care healthcare facility, the data associated with support variables present in a patient upon admission or administered to the patient within an initial time period from admission;

identifying support variables associated with the patient using medical codes to analyze the received data; and

determining the pSIS for the patient by summing weights associated with each identified support variable.

17. The method of claim 16, further comprising assigning weights to each identified support variable, the weights associated with each support variable derived using logistic regression coefficients associated with each support variable.

18. The method of claim 16, further comprising determining an overall severity of illness score for the patient using the pSIS as a component.

19. The method of claim 17, further comprising prior to determining the overall SOI score, applying a multiplier to ordinalize the pSIS for use with other physiologic index scores used to determine the overall SOI score.

20. The method of claim 16, wherein the data associated with support variables includes one or more of anti-arrhythmic medication, antibiotics medication given intravenously, inotrope medication, insulin medication given intravenously, vasopressor medication given intravenously, dialysis, intubation, invasive mechanical ventilation, non-invasive mechanical ventilation, or pacemaker implanted in the patient.