METHODS FOR MAKING COMPLEX THERAPEUTIC CLINICAL DECISIONS

• US 20120065988A1
• Filed: 10/10/2011
• Published: 03/15/2012
• Est. Priority Date: 03/11/2009
• Status: Abandoned Application

• Current Assignee: Loeser Medizintechnik GmbH
• Original Assignee: Loeser Medizintechnik GmbH
• Inventors: LOSER, THOMAS
• Application Number:
  US13/269,998
• Publication Number:
  US 20120065988A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Embodiments of the present invention relate to methods of making therapeutic decisions in the course of medical treatment. Some embodiments include using mathematical methods such as analytic geometric methods to determine the relationship of a patient'"'"'s initial and/or current health state to a desired health state and/or an undesired health state. Furthermore, some embodiments include defining a health feature space including a plurality of health parameters and time, and representing the time evolution of the patient health state as a space curve trajectory in a multidimensional space. Still further some embodiments include calculating a target trajectory and/or a complication trajectory and determining which health parameters to adjust in order to produce a desired time evolution result.

Claims

1. A method for making therapeutic decisions for remediating the health condition of a human patient, comprising:

identifying a plurality of health parameters including physiological and/or pathological parameters typical for a disorder, wherein the number of health parameters is at least three;

forming a multidimensional health space, wherein each of the identified parameters defines a dimension of the health space and time defines a further dimension of the health space;

determining at least a first space range and second space range within the health space, wherein the first space range defines a healthy condition and each of the identified health parameters comprise target values, and wherein the second space range defines an unhealthy condition at least one of the identified health parameters has an undesirable value;

collecting measured values of the identified health parameters of the patient defining an initial health state of the patient and defining a point in the health space;

determining a target trajectory comprising the shortest space curve between the initial health state and the first space range;

recursively collecting measured values of the identified health parameters and calculating the patient'"'"'s health state as a function of time defining patient trajectory comprising a space curve; and

determining an instruction value comprising a perturbation of one or more identified health parameters calculated to cause the patient trajectory to evolve toward the first space range.

2. The method according to claim 1, wherein the identified health parameters comprise at least two parameters that are chemical indicators for the presence of a disorder.

3. The method according to claim 1, wherein the identified health parameters comprise parameters that indicate or suggest the health state of one or more of a tissue, an organ or the patient, and wherein the parameters comprise at least the age of the patient and a tissue composition parameter.

4. The method according to claim 3, wherein the tissue composition parameter comprises the a cell type the tissue and/or a chemical composition of the tissue.

5. The method according to claim 1, wherein the identified health parameters comprise parameters selected from one or more of levels of chemical indicators typical of inflammations of the patient, levels of chemical indicators typical of the nutritional state of the patient, quantities typical of infections of the patient, and levels of chemical indicators typical of a physiological aging process.

6. The method according to claim 5, wherein the parameters typical of the nutritional state of the patient comprise one or more of degree of hydration, electrolyte levels of the patient or trace element levels.

7. The method according to claim 5, wherein the parameters typical of a physiological aging process comprise one or more of a hormone concentration, levels of chemical indicators for connective tissue metabolism or levels of chemical indicators for diabetes.

8. The method according to claim 1, wherein the determination of an instruction value comprises determining of the shortest space curve between the temporally last measured point and the first space range.

9. The method according to claim 8, wherein the instruction value includes at least one identified health parameters to be changed.

10. The method according to claim 1, wherein the determination of an instruction value comprises the calculating the shortest space curve between the temporally last measured point and the target trajectory.

11. The method according to claim 10, wherein the instruction value includes at least one identified health parameter to be changed.

12. The method according to claim 1, wherein the method further comprises determining a complication trajectory comprising the shortest space curve between the initial health state and the at least one second space range.

13. The method according to claim 1, wherein the point defining the initial health state and the further measured points define a patient trajectory.

14. The method according to claim 1, wherein the target trajectory, the patient trajectory and a complication trajectory are compared with each other to determine an instruction value.

15. The method according to claim 1, wherein the target trajectory is compared to the patient trajectory to determine an instruction value.