Method and system to optimize quality of patient care paths

• US 20090070137A1
• Filed: 10/29/2007
• Published: 03/12/2009
• Est. Priority Date: 09/10/2007
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Schmidt, Volker, Eberhard Schmidt, David Wolfgang, Abraham-Fuchs, Klaus, Haider, Sultan, Schmidt, Dominic Pascal
• Application Number:
  US11/978,806
• Publication Number:
  US 20090070137A1
• Time in Patent Office: Days
• US Class Current: 705/2
• 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 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• 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 system and method for optimizing status of a care plan is described, the method including defining a care plan as worksteps associated by a rule-based process. Historical data is collected for a plurality of worksteps for such attributes as diagnosis, clinical outcome and cost. The data may be analyzed by data mining techniques so as to discover the optimum relationships between the patient symptoms, the worksteps and a success criteria. The success criteria may include correct diagnosis, equipment use efficiency, cost, and successful clinical outcome. The rule-based process may be modified to take account of the optimum relationships. A patient presenting with a constellation of symptoms may have the symptoms compared with care plans success ranking to determine an optimum care plan.

Claims

1. A method of optimizing a medical care plan, the method comprising:

describing aspects of a care plan as a plurality of worksteps organized by a rule-based process;

analyzing a data base of information relating to a success probability measure of a care plan, the probability including at least one of medical diagnosis, cost, or outcome;

modifying the care plan by changing the rule-based process so as to increase the success probability measure.

2. The method of claim 1, wherein the step of analyzing includes data base mining.

3. The method of claim 1, wherein the rule-based process includes of deterministic associations between the worksteps in the care plan.

4. The method of claim 1, wherein the rule-based process includes probabilistic associations between the worksteps in the care plan.

5. The method of claim 1, where the rule-based process may be modified such that one or more of the worksteps is removed from the rule-based process, or one or more new worksteps are included in the rule-based process.

6. A method of improving medical diagnosis, the method including:

compiling a list of symptoms reported by patients;

compiling a list of questions asked by medical personnel in response to a symptom or constellation of symptoms;

compiling a list of diagnosed medical syndromes;

determining a joint likelihood of a specific symptom or constellation of symptoms, the asked questions and the diagnosis; and

selecting the symptoms and asked questions having the highest likelihood of resulting in the diagnosis,

wherein the data base of symptoms, asked questions and diagnosis is analyzed by data mining.

7. The method of claim 6, wherein the asked questions include diagnostic tests or medical investigations.

8. The method of claim 7, wherein the diagnostic tests include laboratory analysis.

9. The method of claim 6, wherein the cost of each asked question is recorded, and a total cost is associated with each diagnosis.

10. A data processing system for optimizing a medical care plan, the system comprising:

a computer executing a software program product operable to;

maintain a care plan having worksteps, the worksteps being

linked by a rule-based process;

accept data from worksteps performed in a clinical care path, the data including at least one of clinical outcome, diagnosis, or cost;

determine an optimum care plan configuration with respect to at least one of clinical outcome, diagnosis or cost by analyzing the data using data mining techniques.

11. A computer-readable medium having instructions executable on a computer stored thereon, the instructions causing a computer system to:

store and maintain a care plan having worksteps, the worksteps being related by a rule-based process;

accept data input associated with the performance of worksteps including at least one of patient symptoms, cost, clinical outcome, or diagnosis;

analyze the effectiveness of the rule-based process with respect to at least one of cost, clinical outcome, or diagnosis, based on use of data mining; and

identify modifications of the rule-based process so as to increase the effectiveness of he care plan.

12. The computer readable medium of claim 11, wherein:

a symptom or constellation of symptoms of a patient is compared with the care paths and a care path chosen so as to maximize a success criteria measure.

13. The computer readable medium of claim 12, wherein the success criteria measure at least one of probability of correct diagnosis, minimum cost, or successful outcome.