Computerized system and method for rapid data entry of past medical diagnoses

• US 7,624,029 B1
• Filed: 01/23/2003
• Issued: 11/24/2009
• Est. Priority Date: 06/12/2002
• Status: Active Grant

• Current Assignee: Humana Incorporated
• Original Assignee: Anvita, Inc. (Humana Incorporated)
• Inventors: Ghouri, Ahmed
• Primary Examiner(s): Gilligan; C. Luke
• Assistant Examiner(s): Cobanoglu; Dilek B
• Application Number:
  US10/351,083
• Time in Patent Office: 2,497 Days
• Field of Search: 705/2, 705/3, 434/236, 709/227, 715/201
• US Class Current: 705/3
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• 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 70/20 relating to practices or guidelines
• CPC Class Codes: G16H 70/40 relating to drugs, e.g. their side effects or intended usage

Abstract

A system and method for rapid entry of past medical diagnoses allows for development of specific, clinically relevant diagnoses from a simple input medication through use of a developed database that maps an input medication to a specific medical diagnosis through an intermediate indications data set. Input medications are normalized to their generic or chemical name and the normalized medication data is associated to an intermediate diagnosis through a medications indications listing contained in a database. Each medication develops a short list of possible specific and/or macro-diagnoses (indications) consistent with the medications and a selected indication is concept-matched to a specific medical diagnosis in order to develop a proper diagnosis in clinically meaningful terms, from a concept-mapped portion of the database. The concept-mapped portion is developed by grouping medical terms into clinically meaningful groups and developing pointers within those groups between identified diseases and a developed indications taxonomy, itself developed by forming a composite of FDA-approved and non-FDA approved indications with respect to particular normalized medications.

Claims

1. A method for identifying a clinically relevant diagnosis from ancillary input data, the method comprising:

defining a database, the database accessible by an electronic data input and processing device;

storing a multiplicity of indication terms within the database, each indication term describing a medical or physiological condition in accordance with a standardized usage;

storing a multiplicity of clinically relevant diagnoses within the database, each diagnosis is associated to one or more of the multiplicity of indication terms, wherein each diagnosis is a disease or condition specified with detailed medical terminology;

linking, in the database, each of the indication terms to a normalized medication index wherein a chemical name, trade name and a manufacturer name of a medication are associated with one or more indication terms;

receiving an input of one of a chemical name, trade name and a manufacturer name of a medication;

automatically identifying, based on multiplicity of indication terms in the database and linked normalized medication index, one or more of the indication terms upon input of the medication to the electronic data input and processing device, wherein the identified one or more indication terms are displayed as an indication set by the device; and

selecting one of the indication terms from the indication set; and

automatically identifying one or more of the clinically relevant diagnoses upon selection of the indication term based on the association of one or more of the multiplicity of indication terms with each diagnosis, wherein the identified one or more clinically relevant diagnoses are displayed as a specific diagnosis set by the device.

2. The method according to claim 1, further comprising:

selecting one of the clinically relevant diagnosis from the specific diagnosis set; and

entering the selected diagnosis into an electronic patient medical record.

3. The method according to claim 2, wherein the clinically relevant diagnoses are selected from a recognized standardized medical reference of clinically relevant diagnoses.

4. The method according to claim 3, wherein the recognized standardized medical reference comprises the ICD9.

5. The method according to claim 4, wherein the ICD9 further comprises disease codes that are automatically entered into an electronic patient medical record.

6. The method according to claim 1, wherein the normalized medication index comprises a database collection of medications, each medication identified by a tradename, each medication further identified by a generic name, the tradenames and generic names associated to one another such that any medication entry terminology returns a medication'"'"'s generic name as the normalized medication index.

7. The method according to claim 6, wherein each of the multiplicity of indication terms is linked to a normalized medication index in accordance with an administratively authorized medication to indication usage.

8. The method according to claim 7, wherein one or more of the multiplicity of indication terms are linked to a normalized medication index in accordance with a recognized common usage without regard for administrative authorization.

9. A system for extracting a clinically relevant diagnosis from ancillary input data, the system comprising:

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

a database accessible by the electronic data input and processing device, the database further comprising a multiplicity of indications wherein each indication describes a medical or physiological condition in accordance with a standardized usage, a multiplicity of clinically relevant diagnoses, the diagnoses each associated to one or more of the multiplicity of indications; and

a multiplicity of normalized medication indices, each index having a chemical name, trade name and a manufacturer name of a medication linked to one or more of the multiplicity of indications; and

a diagnosis extraction application, hosted on the electronic data input and processing device, wherein one or more of the indications are automatically identified upon input of a medication to the electronic data input and processing device, and wherein the one or more of the indications are displayed to a user as an indication set and wherein one or more of the clinically relevant diagnoses are automatically identifying upon selection of the selected indication based on the association of one or more of the multiplicity of indication terms with each diagnosis wherein the one or more of the clinically relevant diagnoses are displayed to a user as a specific diagnosis set.

10. The system according to claim 9, further comprising an electronic patient medical record keeping application, wherein a clinically relevant diagnosis selected from the specific diagnosis set is automatically entered into an electronic patient medical record.

11. The system according to claim 10, the normalized medication indices further comprising:

a database collection of medication tradenames;

a database collection of medication generic names; and

a defined pointer set, wherein the tradenames and generic names are associated to one another through pointers such that any medication entry terminology returns a medication'"'"'s generic name as the normalized medication index.

12. The system according to claim 11, wherein each of the multiplicity of indications is linked to a normalized medication index in accordance with an administratively authorized medication to indication usage.

13. The system according to claim 12, wherein one or more of the multiplicity of indications are linked to a normalized medication index in accordance with a recognized common usage without regard for administrative authorization.

14. The system according to claim 13, wherein the clinically relevant diagnoses are selected from a recognized standardized medical reference of clinically relevant diagnoses.

15. The system according to claim 14, wherein the recognized standardized medical reference comprises the ICD9.

16. The system according to claim 15, wherein the ICD9 further comprises disease codes that are automatically entered into an electronic patient medical record.