Method and apparatus for determining pharmacy order parameters based on patient context data

• US 20060106647A1
• Filed: 11/18/2004
• Published: 05/18/2006
• Est. Priority Date: 11/18/2004
• Status: Abandoned Application

• Current Assignee: Epic Systems Corporation
• Original Assignee: Epic Systems Corporation
• Inventors: Brummel, Anthony C., Krueger, Jeffrey A., Eith, Brian R.
• Application Number:
  US10/992,568
• Publication Number:
  US 20060106647A1
• Time in Patent Office: Days
• US Class Current: 705/3
• 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 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A health care information system includes an information database and a pharmacy module. The information database is adapted to store a record for a patient including patient context data. The pharmacy module is adapted to receive a pharmacy order for the patient, retrieve the patient context data from the record in the information database, and determine at least one recommended parameter for the pharmacy order based on the patient context data. A method for determining pharmacy order parameters in a health care information system includes storing a record for a patient including patient context data. A pharmacy order is received for the patient. The patient context data is retrieved from the record in the information database. At least one recommended parameter for the pharmacy order is determined based on the patient context data.

Claims

1. A health care information system, comprising:

an information database adapted to store a record for a patient including patient context data; and

a pharmacy module adapted to receive a pharmacy order for the patient, retrieve the patient context data from the record in the information database, and determine at least one recommended parameter for the pharmacy order based on the patient context data.

2. The system of claim 1, wherein the recommended parameter comprises at least one of a product parameter, a package parameter, and a dose parameter for the pharmacy order.

3. The system of claim 1, wherein the record comprises at least one of a personal data component, a medical background component, a diagnosis component, a procedure results component, a treatment component, and a preference component.

4. The system of claim 1, wherein the pharmacy order includes at least one specified parameter, the recommended parameter comprises a modification to the specified parameter, and the pharmacy module is adapted to display the specified parameter and the recommended parameter.

5. The system of claim 4, wherein the pharmacy module is further adapted to display rationale data for modifying the specified parameter.

6. The system of claim 4, wherein the specified parameter comprises at least one of a default parameter and a user-specified parameter.

7. The system of claim 1, wherein the pharmacy module is adapted to request approval for the recommended parameter and place the pharmacy order responsive to receiving the approval.

8. The system of claim 1, wherein the patient context data comprises at least one of an age and a weight.

9. The system of claim 1, wherein the patient context data comprises at least one of a test result parameter, a diagnosis parameter, a medical history parameter, an allergy parameter, and a preference parameter.

10. The system of claim 1, wherein the patient context data comprises age data, and the recommended parameter comprises a product parameter.

11. The system of claim 10, wherein the product parameter comprises a concentration parameter.

12. The system of claim 10, wherein the product parameter comprises a product form parameter.

13. The system of claim 1, wherein the patient context data comprises patient preference data, and the recommended parameter comprises a product form parameter.

14. The system of claim 1, wherein the patient context data comprises a diet restriction parameter, and the recommended parameter comprises a product form parameter.

15. The system of claim 1, wherein the patient context data comprises patient preference data, and the recommended parameter comprises a product form parameter.

16. The system of claim 1, wherein the patient context data comprises patient allergy data, and the recommended parameter comprises a product package parameter.

17. The system of claim 1, wherein the patient context data comprises at least one of diagnosis data and lab result data, the pharmacy order includes a medication, and the pharmacy module is further adapted to determine an alternate medication as the recommended parameter based on the patient context data.

18. The system of claim 1, wherein the patient context data comprises a volume of an intravenous fluid container ordered for the patient, and the recommended parameter comprises a package size for the medication having a concentration consistent with the volume of the intravenous fluid container.

19. The system of claim 1, wherein the patient context data comprises at least one of diagnosis data and lab result data, and the recommended parameter comprises a product dose parameter.

20. The system of claim 1, wherein the patient context data comprises at least one of age and weight, and the recommended parameter comprises a product dose parameter.

21. The system of claim 1, wherein the patient context data includes weight and an adjusted weight, and the pharmacy module is adapted to determine a product dose parameter as the recommended parameter based on the difference between the weight and the adjusted weight.

22. The system of claim 1, wherein the patient context data comprises prior medication dosing data, and the pharmacy module is adapted to determine a current medication level for the patient based on the prior medication dosing data and determine a dose parameter for a subsequent administration of a medication as the recommended parameter based on the current medication level.

23. The system of claim 1, wherein the patient context data comprises prior medication dosing data, and the pharmacy module is adapted to determine a cumulative effect based on the prior medication dosing data and determine a dose parameter for a subsequent administration of a medication as the recommended parameter based on the determined cumulative effect.

24. A method for determining pharmacy order parameters in a health care information system, comprising:

storing a record for a patient including patient context data;

receiving a pharmacy order for the patient;

retrieving the patient context data from the record in the information database; and

determining at least one recommended parameter for the pharmacy order based on the patient context data.

25. The method of claim 24, wherein determining the recommended parameter comprises determining at least one of a product parameter, a package parameter, and a dose parameter for the pharmacy order.

26. The method of claim 24, wherein storing the record comprises storing at least one of a personal data component, a medical background component, a diagnosis component, a procedure results component, a treatment component, and a preference component.

27. The method of claim 24, wherein the pharmacy order includes at least one specified parameter, and the method further comprises:

modifying the specified parameter to determine the recommended parameter; and

displaying the specified parameter and the recommended parameter.

28. The method of claim 27, further comprising displaying rationale data for modifying the specified parameter.

29. The method of claim 27, further comprising receiving the specified parameter, wherein the specified parameter comprises at least one of a default parameter and a user-specified parameter.

30. The method of claim 24, further comprising:

requesting approval for the recommended parameter; and

placing the pharmacy order responsive to receiving the approval.

31. The method of claim 24, wherein retrieving the patient context data retrieving comprises at least one of an age and a weight.

32. The method of claim 24, wherein retrieving the patient context data comprises retrieving at least one of a test result parameter, a diagnosis parameter, a medical history parameter, an allergy parameter, and a preference parameter.

33. The method of claim 24, wherein retrieving the patient context data comprises retrieving age data, and determining the recommended parameter comprises determining a product parameter.

34. The method of claim 33, wherein determining the product parameter comprises determining a concentration parameter.

35. The method of claim 33, wherein determining the product parameter comprises determining a product form parameter.

36. The method of claim 24, wherein retrieving the patient context data comprises retrieving patient preference data, and determining the recommended parameter comprises determining a product form parameter.

37. The method of claim 24, wherein retrieving the patient context data comprises retrieving a diet restriction parameter, and determining the recommended parameter comprises determining a product form parameter.

38. The method of claim 24, wherein retrieving the patient context data comprises retrieving patient preference data, and determining the recommended parameter comprises determining a product form parameter.

39. The method of claim 24, wherein retrieving the patient context data comprises retrieving patient allergy data, and determining the recommended parameter comprises determining a product package parameter.

40. The method of claim 24, wherein the pharmacy order includes a medication, retrieving the patient context data comprises retrieving at least one of diagnosis data and lab result data, and determining the recommended parameter comprises determining an alternate medication as the recommended parameter based on the patient context data.

41. The method of claim 24, wherein retrieving the patient context data comprises retrieving a volume of an intravenous fluid container ordered for the patient, and determining the recommended parameter comprises determining a package size for the medication having a concentration consistent with the volume of the intravenous fluid container.

42. The method of claim 24, wherein retrieving the patient context data comprises retrieving at least one of diagnosis data and lab result data, and determining the recommended parameter comprises determining a product dose parameter.

43. The method of claim 24, wherein retrieving the patient context data comprises retrieving at least one of age and weight, and the determining recommended parameter comprises determining a product dose parameter.

44. The method of claim 24, wherein retrieving the patient context data includes retrieving weight and an adjusted weight, and determining the recommended parameter comprises determining a product dose parameter based on the difference between the weight and the adjusted weight.

45. The method of claim 24, wherein retrieving the patient context data comprises retrieving prior medication dosing data, and determining the recommended parameter further comprises:

determining a current medication level for the patient based on the prior medication dosing data; and

determining a dose parameter for a subsequent administration of a medication as the recommended parameter based on the current medication level.

46. The method of claim 24, wherein retrieving the patient context data comprises retrieving prior medication dosing data, and determining the recommended parameter comprises:

determining a cumulative effect based on the prior medication dosing data; and

determining a dose parameter for a subsequent administration of a medication as the recommended parameter based on the determined cumulative effect.

47. A health care information system, comprising:

means for storing a record for a patient including patient context data;

means for receiving a pharmacy order for the patient;

means for retrieving the patient context data from the record in the information database; and

means for determining at least one recommended parameter for the pharmacy order based on the patient context data.