System and method for generating patient-specific prescription drug safety instructions

• US 20040162835A1
• Filed: 06/06/2003
• Published: 08/19/2004
• Est. Priority Date: 06/12/2002
• Status: Abandoned Application

• Current Assignee: Humana Incorporated
• Original Assignee: Humana Incorporated
• Inventors: Ghouri, Ahmed
• Application Number:
  US10/456,347
• Publication Number:
  US 20040162835A1
• Time in Patent Office: Days
• US Class Current: 707/100
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 70/40 relating to drugs, e.g. their side effects or intended usage

Abstract

A particular system and methodology by which patient-specific medication safety instructions and information is defined for any particular patient in a manner that takes not only a drug'"'"'s identification, dose, and dose frequency into account, but also an entire spectrum of relevant clinical dimensions so as minimize the possibility of harmful interactions while simultaneously maximizing interaction information content. Patient-specific medication safety instructions and information are generated by an automated system that populates a template with data relevant to the patient. The template is populated by substituting layperson-intelligible terminology for symbolic logic argument elements in suitable text strings. Symbolic logic argument elements are derived from a computerized dimensional indexing system implementing multiple databases and performing therapeutic determinations by symbolic structural reasoning with respect to database elemental indices defining the symbolic logic argument elements.

Claims

1. A system for generating a patient-specific drug safety and information bulletin, the system comprising:

an electronic data input and processing device including at least a display and means for inputting;

a medical record, specific to a particular patient, the record including at least a record of the patient'"'"'s present medications;

a database accessible by the electronic data input and processing device, the database including elements, the elements further comprising;

a multiplicity of indications, the indications describing a medical or physiological condition in accordance with a standardized usage;

a multiplicity of normalized medication indices, each index linked to selected ones of the multiplicity of indications; and

a rule set, the rule set including definition of medication interactions;

an analysis application, hosted on the electronic data input and processing device, wherein particular ones of the interactions are automatically identified upon identification of a particular patient'"'"'s medical record and input of a newly prescribed medication to the electronic data input and processing device; and

a drug safety and information bulletin template, the template including a first data portion which is automatically populated with the particular ones of the interactions specific to the particular patient.

2. The system according to claim 1, wherein the template includes a second data portion which is automatically populated with descriptive text relating to the newly prescribed medication.

3. The system according to claim 2, further comprising:

a multiplicity of textual strings, the strings including logical arguments disposed along the string; and

wherein the logical arguments each point to a database element, such that the database element is substituted for the logical argument in the textual string.

4. The system according to claim 3, wherein the respective text strings of the second data portion include logical arguments pointing to at least one database element selected from the group consisting of the prescription date, the medication name, the medication dose, the dose frequency, and the length of therapy.

5. The system according to claim 4, wherein the respective text strings of the first data portion include logical arguments pointing to at least one database element selected from the group consisting of medication-coexisting medication interactions, medication-coexisting disease interactions, medication-coexisting allergy interactions, contraindications, and precautions.

6. The system according to claim 5, wherein the populated template is human-readable and includes textual strings, including substituted database elements, characterized in patient-specific terms.

7. In an electronic medical records acquisition, retention and analysis program, a method for generating patient-specific drug safety instructions and information, the method comprising:

accessing a database for a medical record specific to the patient, the record including elements defining the patient'"'"'s pre-existing medications, diseases, allergies, conditions and demographic status;

inputting a newly prescribed medication;

evaluating the newly prescribed medication against the patient'"'"'s database elements;

identifying interactions between the newly prescribed medication and the patient'"'"'s pre-existing medications, diseases, allergies, conditions and demographic status; and

generating patient-specific medication safety instructions literature including the identified interactions.

8. The method according to claim 7, the database further including medical knowledge elements, the medical knowledge elements comprising:

a multiplicity of indications, the indications describing a medical or physiological condition in accordance with a standardized usage;

a multiplicity of normalized medication indices, each index linked to selected ones of the multiplicity of indications; and

a rule set, the rule set including definition of interactions between other medical knowledge elements.

9. The method according to claim 8, wherein the patient-specific medication safety instructions are generated in accordance with a template, the template including a data portion which is automatically populated with the interactions specific to the particular patient.

10. The method according to claim 9, wherein the template includes a second data portion which is automatically populated with descriptive text relating to the newly prescribed medication.

11. The method according to claim 10, further comprising:

defining a multiplicity of textual strings, the strings including logical arguments disposed along the string;

associating each logical arguments to a database element; and

substituting the database element for the corresponding logical argument in the textual string.

12. The method according to claim 11, wherein the respective text strings of the second data portion include logical arguments pointing to at least one database element selected from the group consisting of the prescription date, the medication name, the medication dose, the dose frequency, and the length of therapy.

13. The method according to claim 12, wherein the respective text strings of the first data portion include logical arguments pointing to at least one database element selected from the group consisting of medication-coexisting medication interactions, medication-coexisting disease interactions, medication-coexisting allergy interactions, contraindications, and precautions.

14. A method for generating patient-specific medication safety instructions and information in a manner that takes not only a medication'"'"'s identification, dose, and dose frequency into account, but also an entire spectrum of relevant clinical dimensions so as minimize the possibility of harmful interactions while simultaneously maximizing interaction information content, the method comprising:

establishing a dimensional indexing system implementing a database and performing therapeutic determinations by symbolic structural reasoning with respect to database elemental indices;

defining a template for receiving information text strings, the text strings including symbolic logic argument elements defined by the database elemental indices;

substituting layperson-intelligible terminology for symbolic logic argument elements in the text strings; and

populating the template with the substituted text strings.

15. The method according to claim 14 wherein the substituted text strings include symbolic logic argument elements pointing to at least one database element index selected from the group consisting of a prescription date, a medication name, a medication dose, a dose frequency, and a length of therapy.

16. The method according to claim 14, wherein the substituted text strings further include symbolic logic argument elements pointing to at least one database element index selected from the group consisting of a medication-coexisting medication interaction, a medication-coexisting disease interaction, a medication-coexisting allergy interaction, a contraindication, and a precaution.

17. The method according to claim 16, further comprising:

accessing a medical record specific to the patient, the record including database elemental indices defining the patient'"'"'s pre-existing medications, diseases, allergies, conditions and demographic status;

evaluating a newly prescribed medication against the patient'"'"'s database elemental indices; and

identifying interactions between the newly prescribed medication and the patient'"'"'s pre-existing medications, diseases, allergies, conditions and demographic status.