Method and system for providing medical decision support

• US 20050261941A1
• Filed: 05/18/2005
• Published: 11/24/2005
• Est. Priority Date: 05/21/2004
• Status: Abandoned Application

• Current Assignee: Siemens Medical Solutions Health Services Corporation (Siemens AG)
• Original Assignee: Siemens Medical Solutions Health Services Corporation (Siemens AG)
• Inventors: Scarlat, Alexander
• Application Number:
  US11/132,089
• Publication Number:
  US 20050261941A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A medical information management system is disclosed comprising at least one patient record repository that includes information identifying treatments and corresponding outcomes for a plurality of different patients. The system further comprises a query generator for generating a message to acquire information concerning a medical condition of a particular patient from the record repository. The query message initiates the acquisition of information from the record repository including data identifying, (i) a group of patients and a number of patients in a group, (ii) those attributes of the patients in the group which are similar to attributes of the particular patient and, (iii) different treatments associated with a medical condition employed by the patients in the group. The system further includes a data analyzer for analyzing the information acquired by the query generator to provide analysis results including (1) mortality of the patients of the group, (2) the length of patient stay in a healthcare facility of the patients of the group and (3) the cost of treatment incurred by the patients of the group.

Claims

1. A medical information management system, comprising:

at least one patient record repository including information identifying treatments and corresponding outcomes for a plurality of different patients;

a query generator for generating a message for acquiring information concerning a medical condition of a particular patient from said at least one repository, said query message initiating acquisition of information including data identifying,

a group of patients and a number of patients in said group,

attributes of said patients in said group similar to attributes of said particular patient and

different treatments associated with said medical condition employed by said group of patients; and

a data analyzer for analyzing said acquired information by parameters to provide analysis results including

mortality of said patients of said group,

length of patient stay in a healthcare facility of said patients of said group and

cost of treatment of said patients of said group.

2. A medical decision support system, comprising:

at least one patient record repository including information identifying treatments and corresponding outcomes for a plurality of different patients;

a query generator for generating query messages for;

(i) acquiring demographic and clinical information concerning said particular patient from said at least one repository,

(ii) identifying a group of patients who share at least one medical attribute with said particular patient,

(iii) identifying sub-groups of patients from among said identified group of patients, wherein each patient in a sub-group have received a common treatment,

a data analyzer for;

(i) analyzing a first statistical significance of similarity between said particular patient and individual identified sub-groups, said similarity concerning demographic and clinical attributes of said particular patient and an individual sub-group;

(ii) analyzing a second statistical significance of similarity between at least two identified sub-groups, said similarity concerning;

(a) mortality of said patients of each of said sub-groups,

(b) length of patient stay in a healthcare facility of said patients in said individual sub-group, and

(c) cost of treatment of said patients in said individual sub-group, and

(iii) providing analysis results responsive to said analysis of first and second statistical significance.

3. A system according to claim 2, including

a communication processor for communicating said analyzed data for presentation to a user in at least one of, (a) a display image, b) a report and (c) an electronic file.

4. A system according to claim 2, wherein

said demographic information concerning said particular patient include data identifying age, gender, height, weight, zip code, socio-economic status, marital status, race.

5. A system according to claim 2, wherein

said clinical information concerning said particular patient include diagnostic parameters.

6. A system according to claim 2, wherein

said clinical information concerning said particular patient include diagnostic parameters.

7. A system according to claim 2, wherein

said specific diagnostic parameters comprise ICD9 diagnostic codes.

8. A system according to claim 2, wherein

said similarity concerning said clinical attributes include medical diagnosis, current treatments and physical status classification.

9. A system according to claim 2, wherein

said similarity between said patient and said individual identified sub groups determines if a particular identified sub-group provides a more effective diagnostic/therapeutic modality as compared with all other identified sub-groups.

10. A system according to claim 2, wherein

said major medical attribute shared by said identified group of patients with said particular patient is a major therapeutic intervention.

11. A system according to claim 2, including

a user interface providing one or more display images including a user selectable image element enabling a user to initiate presentation of said analysis results.

12. A system according to claim 2, wherein

said analysis results are appended to other medical information for at least one of, (a) communication, (b) display and (c) storage.

13. A system according to claim 12, wherein

said analysis results are at least one of (a) automatically appended and (b) appended in response to user command.

14. A system according to claim 12, wherein

said analysis results are appended to data representing an order for treatment for a patient.

15. A medical information management system, comprising:

at least one patient record repository including information identifying treatments and corresponding outcomes for a plurality of different patients;

a query generator for generating a message for acquiring information concerning a medical condition of a particular patient from said at least one repository, said query message initiating acquisition of information including data identifying,

a plurality of groups of patients and a number of patients in an individual group,

attributes of said patients in said groups similar to attributes of said particular patient and

different treatments associated with said medical condition employed by said groups of patients; and

a data analyzer for analyzing said acquired information by parameters including

mortality associated with individual groups of said plurality of groups,

length of patient stay in a healthcare facility associated with individual groups of said plurality of groups and

cost of treatment associated with individual groups of said plurality of groups.

16. A system according to claim 15, wherein said data analyzer uses statistical methods to quantify the degree of similarity of patient and each of said sub-groups of patients, said data analyzer uses said determined statistical significance in determining whether differences in parameters between individual groups of said plurality of groups is significant.