READMISSION RISK ASSESMENT

• US 20110313788A1
• Filed: 06/17/2010
• Published: 12/22/2011
• Est. Priority Date: 06/17/2010
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: RYAN, HUGH, HOWARD, JASON, SUTARIYA, BHARAT, AMLAND, ROBERT CHARLES
• Granted Patent: US 8,751,257 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A readmission risk prediction model is generated and used for identifying patients having elevated risk of readmission and determining inpatient treatment and outpatient activities based on readmission risk. Readmission risk prediction models may be generated for a variety of different clinical conditions using logistic regression techniques. When a patient is admitted to a hospital, the patient'"'"'s condition is identified and a corresponding readmission risk prediction model is employed to identify the patient'"'"'s risk of readmission. The readmission risk may be presented to a clinician and employed to recommend interventions intended to treat the patient and reduce the probability of readmission for the patient. The patient'"'"'s readmission risk may also be calculated after the patient has been discharged and used for planning outpatient activities for the patient.

Claims

1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising:

identifying a patient condition for a patient admitted to a clinical facility;

selecting a readmission risk prediction model based on the patient condition;

receiving patient data for the patient;

computing a readmission risk score using the readmission risk prediction model and the patient data, the readmission risk score representing a probability of readmission for the patient; and

providing an indication of readmission risk for the patient based on the readmission risk score for presentation to a clinician treating the patient.

2. The one or more computer storage media of claim 1, wherein multiple patient conditions are identified for the patient, and wherein the readmission risk prediction model corresponds with the multiple patient conditions.

3. The one or more computer storage media of claim 1, wherein multiple patient conditions are identified for the patient, and wherein the readmission risk prediction model corresponds with the multiple patient conditions.

4. The one or more computer storage media of claim 1, wherein the patient data is received from an electronic medial record.

5. The one or more computer storage media of claim 1, wherein the method further comprises:

determining that additional patient data is needed based on the readmission risk prediction model; and

providing a notice for display to a clinician prompting the clinician to provide the additional patient data.

6. The one or more computer storage media of claim 1, wherein the method further comprises:

comparing the readmission risk score against a readmission risk threshold;

determining a treatment recommendation based on comparison of the readmission risk score against the readmission risk threshold; and

providing the treatment recommendation for presentation to a clinician treating the patient.

7. The one or more computer storage media of claim 6, wherein the readmission risk score is compared against a plurality of thresholds.

8. The one or more computer storage media of claim 6, wherein the patient is identified as a high readmission risk based on the readmission risk score.

9. The one or more computer storage media of claim 6, wherein the treatment recommendation comprises one or more selected from the following:

performing an alternate therapy, requesting an additional study to be performed on the patient, and extending the patient'"'"'s length of stay.

10. The one or more computer storage media of claim 6, wherein the method further comprises re-computing the readmission risk score and determining new treatment recommendations based on the recomputed readmission risk score.

11. The one or more computer storage media of claim 1, wherein the method further comprises determining whether to discharge the patient based on the readmission risk score.

12. The one or more computer storage media of claim 1, wherein the method further comprises performing discharge planning based on the readmission risk score including determining one or more outpatient activities based on the readmission risk score.

13. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising:

computing a readmission risk score for a patient previously discharged from a clinical facility;

determining an outpatient treatment recommendation based on the readmission risk score; and

providing the outpatient treatment recommendation for presentation to a clinician.

14. The one or more computer storage media of claim 13, wherein determining the outpatient treatment recommendation based on the readmission risk score comprises comparing the readmission risk score against one or more predetermined thresholds and determining the outpatient treatment recommendation based on the comparison.

15. The one or more computer storage media of claim 14, wherein determining the outpatient treatment recommendation based on the readmission risk score comprises determining to readmit the patient based on the readmission risk score exceeding a predetermined threshold.

16. The one or more computer storage media of claim 13, wherein the outpatient treatment recommendation comprises at least one selected from the following:

performing outpatient monitoring, scheduling outpatient appointments for the patient, providing in-home healthcare, and educating the patient on healthcare issues related to the patient'"'"'s condition.

17. The one or more computer storage media of claim 13, wherein determining the outpatient treatment recommendation based on the readmission risk score and providing the outpatient treatment recommendation for presentation to the clinician comprises determining that the patient has a high risk for readmission based on the readmission risk score and placing or maintaining the patient on a call list for high risk patients.

18. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising:

receiving clinically relevant data associated with a given clinical condition from a plurality of patient cases;

building a logistic regression model using the clinically relevant data; and

developing a readmission risk prediction model using the logistic regression model, the readmission risk prediction model being capable of calculating a readmission risk score for patients based on patient data, wherein a readmission risk score for a patient represents a probability of readmission for the patient.

20. The one or more computer storage media of claim 18, wherein the method further comprises repeating building a logistic regression model until the ROC area-under-the curve analysis satisfies a predetermined threshold.

19. The one or more computer storage media of claim 19, wherein the method further comprises testing the logistic regression model for model fit by performing a receiver-operating characteristic (ROC) area-under-the curve analysis.