Method and system for patient risk level evaluation

• US 8,041,584 B2
• Filed: 12/03/2008
• Issued: 10/18/2011
• Est. Priority Date: 10/24/2008
• Status: Active Grant

• Current Assignee: Institute For Information Industry
• Original Assignee: Institute For Information Industry
• Inventors: Wu, Chin-Cheng, Lee, Han-Chao, Hsu, Tong-Ming, Lu, Yi-Chen
• Primary Examiner(s): GILLIGAN, CHRISTOPHER L
• Application Number:
  US12/327,587
• Publication Number:
  US 20100106524A1
• Time in Patent Office: 1,049 Days
• Field of Search: 705 2- 3, 600/300
• US Class Current: 705/3
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

A method for patient risk level evaluation is provided, implemented with a remote medical care center. The remote medical care center connects with a plurality of health care locations at various locations over a network. Patient data of a plurality of patients is received from the plurality of health care locations via the network. An occurred event for each patient is determined, and each of the occurred events is classified into deteriorating or ameliorating category. The patients corresponding to the same events are sorted into a group, and the patients within the group are ranked according to severity of illness of each patient. A risk score for each patient is determined according to the corresponding event. Patient ranking orders corresponding to the events of the deteriorating and the ameliorating category are generated and displayed.

Claims

1. A system for patient risk level evaluation, implemented with a remote medical care center, wherein the remote medical care center connects with a plurality of health care locations over a network, comprising:

an input interface, connecting to each of the plurality of health care locations, receiving patient data of a plurality of patients from the plurality of health care locations;

a processor, comprising;

an event determination unit, determining an occurred event for each patient according to the corresponding patient data;

a classification unit, classifying each of the occurred events into a deteriorating category or an ameliorating category;

a group sorting unit, sorting the patients corresponding to the same events into a group, and ranking the patients within the group according to severity of illness of each patient;

a risk evaluation unit, determining a risk score for each patient based on the corresponding event according to the equation A=D+(Σ

W_iE_i), wherein A is the risk score of the corresponding patient, D is a mortality risk of the occurred event for the corresponding patient, W is a weight of the relative factors of the occurred event for the corresponding patient, and E is a score reflecting the abnormality level of the relative factors of the occurred event for the corresponding patient; and

a category ranking unit, generating a patient ranking order for the deteriorating category corresponding to the risk score in the order from high to low, and generating a patient ranking order for the ameliorating category corresponding to the risk score in the order from low to high, respectively; and

an output interface, displaying the patient ranking order for the deteriorating category, and displaying the patient ranking order for the ameliorating category.

2. The system for patient risk level evaluation of claim 1, wherein the patient data comprises at least one of the following:

basic patient data, historical data, vital sign data, condition evaluation data, laboratory reports, ventilator settings.

3. The system for patient risk level evaluation of claim 1, further comprising an events database for storing event criteria for each of the events, wherein the event determination unit determines the occurred event for each patient according to the corresponding patient data and the event criteria.

4. The system for patient risk level evaluation of claim 1, further comprising an events category database for storing the event classified into the deteriorating category and the event classified into the ameliorating category, respectively, wherein the classification unit classifies each of the events into the deteriorating category or the ameliorating category according to the data stored in the events category database.

5. The system for patient risk level evaluation of claim 1, further comprising a patient group database for storing the patient data according to the group sorted by the group sorting unit.

6. The system for patient risk level evaluation of claim 1, further comprising an event risk database for storing at least one of the following:

mortality risk of each of the events;

relative factors of each of the events;

weights assigned to each of the relative factors of each of the events; and

criterion for determining abnormality level of each of the relative factors.

7. The system for patient risk level evaluation of claim 1, wherein the output interface further issues warning signals pertaining to patients which rise in patient ranking order for the deteriorating category, and issues warning signals pertaining to patients which rise in patient ranking order for the ameliorating category.

8. A method for patient risk level evaluation, implemented by a system with a remote medical care center, wherein the remote medical care center connects with a plurality of health care locations over a network and the system comprises an input interface, a processor, and an output interface, comprising:

receiving, by the input interface and via the network, patient data of a plurality of patients from the plurality of health care locations;

determining an occurred event for each patient by an event determination unit of the processor according to the corresponding patient data;

classifying each of the occurred events into a deteriorating category or an ameliorating category by a classification unit of the processor;

sorting the patients by a group sorting unit of the processor corresponding to the same events into a group, and ranking the patients within the group by the group sorting unit of the processor according to severity of illness of each patient;

determining a risk score for each patient by a risk evaluation unit based on the corresponding event according to the equation A=D+(Σ

W_iE_i), wherein A is the risk score of the corresponding patient, D is a mortality risk of the occurred event for the corresponding patient, W is a weight of the relative factors of the occurred event for the corresponding patient, and E is a score reflecting the abnormality level of the relative factors of the occurred event for the corresponding patient;

generating a patient ranking order for the deteriorating category corresponding to the risk score in the order from high to low by a category ranking unit of the processor;

generating a patient ranking order for the ameliorating category corresponding to the risk score in the order from low to high by the category ranking unit; and

displaying the patient ranking order for the deteriorating category by the output interface, and displaying the patient ranking order for the ameliorating category by the output interface.

9. The method for patient risk level evaluation of claim 8, wherein the patient data comprises at least one of the following:

basic patient data, historical data, vital sign data, condition evaluation data, laboratory reports, and ventilator settings.

10. The method for patient risk level evaluation of claim 8, further comprising providing an events database for storing event criteria for each of the events, wherein the event determination unit determines the occurred event for each patient according to the corresponding patient data and the event criteria.

11. The method for patient risk level evaluation of claim 8, further comprising providing an events category database for storing the event classified into the deteriorating category and the event classified into the ameliorating category, respectively, wherein the classification unit classifies each of the occurred events into the deteriorating category or the ameliorating category according to the data stored in the events category database.

12. The method for patient risk level evaluation of claim 8, further comprising providing a patient group database for storing the patient data according to the group sorted by the group sorting unit.

13. The method for patient risk level evaluation of claim 8, further comprising providing an event risk database for storing at least one of the following:

mortality risk of each of the events;

relative factors of each of the events;

weights assigned to each of the relative factors of each of the events; and

criterion for determining abnormality level of each of the relative factors.

14. The method for patient risk level evaluation of claim 8, further issuing warning signals pertaining to patients which rise in patient ranking order for the deteriorating category, and issuing warning signals pertaining to patients which rise in patient ranking order for the ameliorating category.

15. A non-transitory computer readable storage medium for storing a computer program which is loaded into and executed by a machine to perform-a method for patient risk level evaluation, the performed method comprising:

receiving, via the network, patient data of a plurality of patients from the plurality of health care locations;

determining an occurred event for each patient according to the corresponding patient data;

classifying each of the occurred events into a deteriorating category or an ameliorating category;

sorting the patients corresponding to the same events into a group, and ranking the patients within the group according to severity of illness of each patient;

determining a risk score for each patient based on the corresponding event according to the equation A=D+(Σ

W_iE_i), wherein A is the risk score of the corresponding patient, D is a mortality risk of the occurred event for the corresponding patient, W is a weight of the relative factors of the occurred event for the corresponding patient, and E is a score reflecting the abnormality level of the relative factors of the occurred event for the corresponding patient;

ranking the patients for the deteriorating category in the order from high to low;

ranking the patients for the ameliorating category in the order from low to high; and

displaying the patient ranking order for the deteriorating category, and displaying the patient ranking order for the ameliorating category.

16. The non-transitory computer readable storage medium of claim 15, wherein the patient data comprises at least one of the following:

basic patient data, historical data, vital sign data, condition evaluation data, laboratory reports, ventilator settings.

17. The non-transitory computer readable storage medium of claim 15, further comprising providing an events database for storing event criteria for each of the events, wherein the event determination unit determines the occurred event for each patient according to the corresponding patient data and the event criteria.

18. The non-transitory computer readable storage medium of claim 15, further comprising providing an events category database for storing the event classified into the deteriorating category and the event classified into the ameliorating category, respectively;

wherein the classification unit classifying each of the occurred events into the deteriorating category or the ameliorating category according to the data stored in the events category database.

19. The non-transitory computer readable storage medium of claim 15, further comprising providing a patient group database for storing the patient data according to the group sorted by the group sorting unit.

20. The non-transitory computer readable storage medium of claim 15, further comprising providing an event risk database for storing at least one of the following:

mortality risk of each of the events;

relative factors of each of the events;

weights assigned to each of the relative factors of each of the events; and

criterion for determining abnormality level of each of the relative factors.

21. The non-transitory computer readable storage medium of claim 15, further issuing warning signals pertaining to patients which rise in patient ranking order for the deteriorating category, and issuing warning signals pertaining to patients which rise in patient ranking order for the ameliorating category.