System for automatic clinical pathway optimization

• US 20100174555A1
• Filed: 01/05/2009
• Published: 07/08/2010
• Est. Priority Date: 01/05/2009
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Maschke, Michael, Abraham-Fuchs, Klaus, Schmidt, Sebastian, Hiltawsky, Karsten, Zahlmann, Gudrun
• Application Number:
  US12/318,648
• Publication Number:
  US 20100174555A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• 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

Abstract

At least one embodiment of the present invention refers to a method, a system, a computer readable medium and/or a computer program product for optimizing a clinical pathway. The clinical pathway includes a sequence of actions. In at least one embodiment, he method aims at finding the best suitable and optimal following action for a respective action. There is provided a set of rules, patient information data and optimization criteria. After having received a symptom or an action there is deduced a set of possible following actions. After having deduced all possible following actions, these possible following actions are evaluated by the optimization criteria. After evaluation the optimal following action is suggested as a result.

Claims

1. A method for optimizing a clinical pathway, including a sequence of actions, the method comprising:

providing a set of rules for deducing at least one following action;

providing patient information data;

providing a set of optimizing criteria for optimizing the clinical pathway, the optimizing criteria being pre-definable;

receiving at least one of a symptom and an initial action;

deducing, by a computer, a set of possible following actions within the clinical pathway without previously inputting a proposed clinical pathway for at least one of the received symptom and the received initial action, by at least one of applying at least one of the provided rules and applying the provided patient information data;

evaluating, by a computer, the deduced set of possible following actions by applying the provided set of optimizing criteria for deducing at least one optimal following action; and

suggesting the at least one optimal following action as a result.

2. The method according to claim 1, wherein the patient information data includes, at least one of past examination data, patient record data, patient interview data, and previous diagnostic result data.

3. The method according to claim 1, wherein the set of optimizing criteria includes at least one of availability aspects, cost aspects, helpfulness aspects, overall aspects, relating to the pathway as a whole, guideline suggestions, efficiency aspects, time aspects, and clinical path shortening aspects.

4. The method according to claim 1, wherein the result of the optimization is represented by a weighted decision tree, wherein the actions are represented by nodes of the tree, wherein results of the actions are represented by edges of the tree, and wherein diagnosis data are represented by leaf nodes.

5. The method according to claim 1, wherein the result includes a set of following actions.

6. The method according to claim 1, wherein the result is at least one of provided and transformed in a machine readable format, and is forwardable to other computer implemented modules.

11. The method according to claim 1, wherein the clinical pathway includes clinical decisions within at least one of a diagnosis and a therapy.

12. The method according to claim 1, wherein the sequence of actions account for previous and future actions.

7. A system for optimizing a clinical pathway, including a sequence of actions, the system comprising:

a computer storing,

a reception unit to receive at least one of a symptom and an initial action;

a deduction unit to deduce a set of possible following actions within a clinical pathway without previously inputting a proposed clinical pathway for the at least one received symptom and the received initial action, where at least one of the deduction unit is linked to and accesses a rule database which provides rules for deducing a respective following action and the deduction unit is linked to and accesses a patient information database for providing patient information data;

an evaluation unit, where the evaluation unit is linked to and accesses an optimization unit, the optimization unit being adapted for providing optimization criteria for optimizing the clinical pathway, so that the deduced following actions are evaluated; and

a result unit, adapted to suggest the optimal following action as a result.

8. The system according to claim 7, wherein the system includes, at least one of a rule database, a patient information database, and an optimization unit.

9. A computer readable medium having computer-executable instructions for executing a method, when the computer readable medium is loaded on to a computer, wherein the method is adapted for optimizing a clinical pathway, including a sequence of actions, the method comprising:

providing a set of rules for deducing at least one following action;

providing patient information data;

providing a set of optimizing criteria for optimizing the clinical pathway, the optimizing criteria being pre-definable;

receiving at least one of a symptom and an initial action;

deducing a set of possible following actions within the clinical pathway without previously inputting a proposed clinical pathway for at least one of the received symptom and the received initial action, by applying at least one of at least one of the provided rules and the provided patient information data;

evaluating the deduced set of possible following actions by applying the provided set of optimizing criteria for deducing at least one optimal following action; and

suggesting the at least one optimal following action as a result.

10. (canceled)