METHODS AND SYSTEMS FOR DETERMINING HEALTH RISK SCORE, RISK OF HOSPITALIZATION AND FORECASTING HEALTHCARE COST

• US 20140108042A1
• Filed: 10/11/2012
• Published: 04/17/2014
• Est. Priority Date: 10/11/2012
• Status: Abandoned Application

• Current Assignee: Jayaram Reddy, Kirit Pandit
• Original Assignee: Jayaram Reddy, Kirit Pandit
• Inventors: Reddy, Jayaram, Pandit, Kirit
• Application Number:
  US13/649,947
• Publication Number:
  US 20140108042A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Various disclosed embodiments include methods and systems for determining a plurality of patients'"'"' risk of hospitalization and for forecasting healthcare cost. The method includes receiving a plurality of patients'"'"' clinical data from encounters over a predetermined time period and mapping disease codes in the clinical data of the plurality of patients to respective chronic diseases. The method includes determining, for the plurality of patients, health risk scores for the respective chronic diseases by applying disease models for the respective chronic diseases to the clinical data.

Claims

1. A method for determining a patient'"'"'s risk of hospitalization and for forecasting future healthcare cost, comprising:

receiving a patient'"'"'s clinical data from a plurality of encounters over a predetermined time period;

mapping disease codes in the clinical data to respective chronic diseases;

determining health risk scores for the respective chronic diseases by applying disease models for the respective chronic diseases to the clinical data;

determining average health risk scores of the respective chronic diseases;

determining weighted health risk scores of the respective chronic diseases, wherein the weighted health risk score is determined from the average health risk score of the chronic disease and the average cost of hospitalization due to the chronic disease; and

storing the weighted health risk scores in a memory.

2. The method of claim 1, wherein the disease code is based on International Classification of Diseases.

3. The method of claim 1, wherein the clinical data comprises patient vitals, number of hospitalizations, laboratory results, prescribed medications and charges.

4. The method of claim 1, wherein the encounter occurs when a patient visits a healthcare provider.

5. The method of claim 1, wherein the health risk score indicates the risk of hospitalization due to the chronic disease.

6. The method of claim 1, wherein the weighted health risk score is a forecast of the future healthcare cost.

7. A method of determining a plurality of patients'"'"' risk of hospitalization and for forecasting healthcare cost, comprising:

receiving a plurality of patient'"'"'s clinical data from encounters over a predetermined time period;

mapping disease codes in the clinical data to respective chronic diseases;

determining, for the plurality of patients, health risk scores for the respective chronic diseases by applying disease models for the respective chronic diseases to the clinical data;

determining, for the plurality of patients, average health risk scores of the respective chronic diseases; and

determining, for the plurality of patients, weighted health risk scores of the respective chronic diseases, wherein the weighted health risk score is determined from the average health risk score of the chronic disease and the average cost of hospitalization due to the chronic disease.

8. The method of claim 7, further comprising classifying the patients into a plurality of risk categories based on the respective health risk scores and number of hospitalizations.

9. The method of claim 7, further comprising generating, for the plurality of patients, plots illustrating health risk scores versus number of hospitalizations.

10. The method of claim 7, wherein the disease code is based on International Classification of Diseases.

11. The method of claim 7, wherein the clinical data comprises patient vitals, number of hospitalizations, laboratory results, prescribed medications and charges.

12. The method of claim 7, wherein the encounter occurs when a patient visits a healthcare provider.

13. The method of claim 7, wherein the health risk score indicates the risk of hospitalization due to the chronic disease.

14. The method of claim 7, wherein the weighted health risk score is a forecast of the future healthcare cost.

15. A method of classifying patients into a plurality of risk categories based on risk of hospitalization and healthcare cost, comprising:

receiving a plurality of patient'"'"'s clinical data from encounters over a predetermined time period;

mapping disease codes in the clinical data of the plurality of patients to respective chronic diseases;

determining, for the plurality of patients, health risk scores for the respective chronic diseases by applying disease models for the respective chronic diseases to the clinical data;

determining, for the plurality of patients, average health risk scores of the respective chronic diseases;

determining, for the plurality of patients, weighted health risk scores of the respective chronic diseases, wherein the weighted health risk score is determined from the average health risk score of the chronic disease and the average cost of hospitalization due to the chronic disease; and

classifying the patients into the plurality of risk categories based at least on one of the health risk scores, number of hospitalizations and the weighted health risk scores.

16. The method of claim 15, further comprising:

classifying the patient with the health risk score greater than a first threshold into a high risk category;

classifying the patient with the health risk score less than the first threshold but greater than a second threshold into a medium risk category; and

classifying the patient with the health risk score less than the second threshold into a low risk category.

17. The method of claim 16, wherein the disease code is based on International Classification of Diseases.

18. The method of claim 16, wherein the clinical data comprises patient vitals, number of hospitalizations, laboratory results, prescribed medications and charges.

19. The method of claim 16, wherein the encounter occurs when a patient visits a healthcare provider.

20. The method of claim 16, wherein the health risk score indicates the risk of hospitalization due to the chronic disease.

21. The method of claim 16, wherein the weighted average health risk score is a forecast of the future healthcare cost.

22. A data processing system for determining a plurality of patients'"'"' risk of hospitalization and forecasting healthcare cost, comprising:

at least one processor;

a memory connected to the processor, wherein the data processing system is configured to;

receive a plurality of patient'"'"'s clinical data from encounters over a predetermined time period;

map disease codes in the clinical data of the plurality of patients to respective chronic diseases;

determine, for the plurality of patients, health risk scores for the respective chronic diseases by applying disease models for the respective chronic diseases to the clinical data;

determine, for the plurality of patients, average health risk scores of the respective chronic diseases;

determine, for the plurality of patients, weighted health risk scores of the respective chronic diseases, wherein the weighted health risk score is determined from the average health risk score of the chronic disease and the average cost of hospitalization due to the chronic disease; and

store the health risk scores in the memory.

23. The data processing system of claim 22, wherein the disease code is based on International Classification of Diseases.

24. The data processing system of claim 22, wherein the clinical data comprises patient vitals, number of hospitalizations, laboratory results, prescribed medications and charges.

25. The data processing system of claim 22, wherein the encounter occurs when a patient visits a healthcare provider.

26. The data processing system of claim 22, wherein the risk score indicates the risk of hospitalization due to the chronic disease.

27. The data processing system of claim 22, wherein the weighted average risk score is a forecast of the future healthcare cost.

28. A non-transitory computer-readable medium encoded with computer-executable instructions for determining a plurality of patients'"'"' risk of hospitalization and forecasting healthcare cost, wherein the computer-executable instructions when executed cause at least one data processing system to:

receive a plurality of patient'"'"'s clinical data from encounters over a predetermined time period;

map disease codes in the clinical data of the plurality of patients to respective chronic diseases;

determine, for the plurality of patients, health risk scores for the respective chronic diseases by applying disease models for the respective chronic diseases to the clinical data;

determine, for the plurality of patients, average health risk scores of the respective chronic diseases; and

determine, for the plurality of patients, weighted health risk scores of the respective chronic diseases, wherein the weighted health risk score is determined from the average health risk score of the chronic disease and the average cost of hospitalization due to the chronic disease.