Method and apparatus for controlled individualized medication

• US 5,672,154 A
• Filed: 02/27/1995
• Issued: 09/30/1997
• Est. Priority Date: 08/27/1992
• Status: Expired due to Fees

• Current Assignee: Minidoc I Uppsala AB
• Original Assignee: Minidoc I Uppsala AB
• Inventors: Sillen, Rudolf Vallentin, Wessberg, Goran
• Primary Examiner(s): Bockelman, Mark
• Application Number:
  US08/387,943
• Time in Patent Office: 946 Days
• Field of Search: 604/49, 604/50, 604/65-67, 395/924, 364/413.02
• US Class Current: 604/503
• CPC Class Codes: A61J 2200/30 Compliance analysis for taking medication
• CPC Class Codes: A61J 7/0418 with electronic history memory
• CPC Class Codes: A61J 7/0454 for dispensing of multiple drugs
• CPC Class Codes: A61J 7/0481 working on a schedule basis
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• 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: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/40 relating to drugs, e.g. their side effects or intended usage
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 128/924 using artificial intelligence
• CPC Class Codes: Y10S 706/924 Medical

Abstract

A method and a device for giving patients individualized, situation-dependent medication advice are disclosed. Preferably, the invention is implemented in portable computers. The method is founded on knowledge-based computer technology and comprises a reminder function (1), a recording and storage function (2, 3), as well as a function for inductive data analysis (4) and rule generation. When the knowledge-based system (6) finds that a medicine should be taken, the computer emits a signal providing information on the type of medicine and the dose. The patients records the intake of medicine as well as his current state of health. This information is stored in a database together with the point of time. Inductive data analysis is used to spot the relationship between various events and symptoms as well as establish medication rules. These rules are refined upon as new information is recorded in the database, and are automatically adapted to changes in the patient'"'"'s state of health.

Claims

1. A method for determining a patient-specific medication regimen, comprising the steps of:

recording a first type of patient-specific information, including a type of medicine, a dosage, and a point of time in a database each time a patient ingests medicine;

recording a second type of patient-specific information describing a state of health of the patient at predetermined intervals in the database;

performing an inductive analysis of the patient-specific information recorded in the database to generate patient-specific proposed medication rules based on detected relationships between the patient'"'"'s intake of medicine and the patient'"'"'s state of health;

comparing the patient-specific proposed medication rules with one or more predetermined thresholds for approval, and storing approved rules; and

recalling the approved rules to decide whether medication is desired based on the patient'"'"'s current state of health and, if so, a recommended type of medicine and a recommended dosage.

2. A method as set forth in claim 1, wherein the recommended type of medicine includes at least two different medicines.

3. A method as set forth in claim 2, further comprising the step of recording a third type of patient-specific information on the patient'"'"'s intake of food and the patient'"'"'s activities in the database prior to the step of performing the inductive analysis.

4. A method as set forth in claim 2, wherein the step of recording the second type of patient-specific information describing the patient'"'"'s state of health is performed each time the step of recording the patient'"'"'s intake of medicine is performed.

5. A method as set forth in claim 2, further comprising the step of recording supplemental patient-specific data prior to the step of performing the inductive analysis, the supplemental patient-specific data including the patient'"'"'s awakening, intake of food, exercise, or stress, wherein the proposed medication rules are further based on relations in time between the recorded supplemental patient-specific data and the state of health recorded.

6. A method as set forth in claim 2, further comprising the steps of allotting a duration of action to each medicine;

and continuously calculating the remaining duration of action of each medicine.

7. A method as set forth in claim 6, wherein the proposed medication rules are further based on the dosage and the remaining duration of action.

8. A method as set forth in claim 2, wherein the controlled individualized dosage of medicine is used for the treatment of Parkinson'"'"'s disease.

9. A method as set forth in claim 1, further comprising the step of recording a third type of patient-specific information on the patient'"'"'s intake of food and his activities in the database prior to the step of performing the inductive analysis.

10. A method as set forth in claim 9, wherein the step of recording the second type of patient-specific information describing the patient'"'"'s state of health is performed each time the step of recording the patient'"'"'s intake of medicine is performed.

11. A method as set forth in claim 9, further comprising the step of recording supplemental patient-specific data prior to the step of performing the inductive analysis, the supplemental patient-specific data including the patient'"'"'s awakening, intake of food, exercise, or stress, wherein the proposed medication rules are further based on relations in time between the recorded supplemental patient-specific data and the state of health recorded.

12. A method as set forth in claim 9, further comprising the steps of allotting a duration of action to each medicine;

and continuously calculating the remaining duration of action of each medicine.

13. A method as set forth in claim 12, wherein the proposed medication rules are further based on the dosage and the remaining duration of action.

14. A method as set forth in claim 1, wherein the step of recording the second type of patient-specific information describing the patient'"'"'s state of health is performed each time the step of recording the patient'"'"'s intake of medicine is performed.

15. A method as set forth in claim 14, further comprising the step of recording supplemental patient-specific data prior to the step of performing the inductive analysis, the supplemental patient-specific data including the patient'"'"'s awakening, intake of food, exercise, or stress, wherein the proposed medication rules are further based on relations in time between the recorded supplemental patient-specific data and the state of health recorded.

16. A method as set forth in claim 1, further comprising the step of recording supplemental patient-specific data prior to the step of performing the inductive analysis, the supplemental patient-specific data including the patient'"'"'s awakening, intake of food, exercise, or stress, wherein the proposed medication rules are further based on relations in time between the recorded supplemental patient-specific data and the state of health recorded.

17. A method as set forth in claim 1, further comprising the steps of allotting a duration of action to each medicine;

and continuously calculating the remaining duration of action of each medicine.

18. A method as set forth in claim 17, wherein the proposed medication rules are further based on the dosage and the remaining duration of action.

19. A method as set forth in claim 1, wherein the controlled individualized dosage of medicine is used for the treatment of Parkinson'"'"'s disease.

20. A device for controlled, individualised medication, characterised by means (2) for recording information on the intake of medicine and the patient'"'"'s state of health, a database (3) for storing this information, a program (4) for performing an inductive analysis of the information stored in the database and establishing medication rules on the basis of detected relationships between the intake of medicine and the patient'"'"'s state of health, memory means (5) for storing predetermined medication conditions, means (5) for comparing the medication rules established by means of the program for performing inductive analysis and the predetermined medication conditions for approval of the medication rules, an expert system (6) where the approved rules are used for deciding whether medication is to be performed and, if so, which type of medicine and what dose should be given, means (7) for activating the program for inductive analysis at given points of time, and means (8) for polling the expert system at given points of time.