Medical data storage system and method

• US 20030154208A1
• Filed: 02/13/2003
• Published: 08/14/2003
• Est. Priority Date: 02/14/2002
• Status: Abandoned Application

• Current Assignee: Meddak Limited
• Original Assignee: Meddak Limited
• Inventors: Rokach, Lior, Ezer, Elie, Maimon, Oded, Averbuch, Mordechai
• Application Number:
  US10/365,405
• Publication Number:
  US 20030154208A1
• Time in Patent Office: Days
• US Class Current: 707/100
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A method and a device for storing medical data from medical records and subsequently extracting knowledge and information are disclosed. Data is continuously stored in a database, while knowledge accumulated in an accompanying medical dictionary and an accompanying medical knowledge directed acyclic graph.

Claims

1. A software system for accessibly storing information from medical data, the software system fixed in a machine readable medium, the software system comprising:

a) a dictionary of terms, each one of said terms having no more than one meaning;

b) a relational database storing person-dependent data; and

c) an directed acyclic graph made up of nodes and links between pairs of nodes wherein;

i. a node represents one said term; and

ii. a link between two nodes represents a finite probability that two terms corresponding to said two nodes coappear in a record of a person in said database

wherein each database record in said database corresponds to a single person and some of said terms are attributes in said database.

2. The system of claim 1 wherein each one of said terms in said dictionary is classified as belonging to a category.

3. The system of claim 1 wherein associated with said terms is a respective term appearance probability, said respective term appearance probability being related to a probability that a respective term appear in a record of a person in said database.

4. The system of claim 3 wherein said term appearance probability is dependent on the number of times a respective term appears in said database.

5. The system of claim 3 wherein said term appearance probability is dependent on an a priori probability that a respective term appear in a record of a person in said database.

6. The system of claim 1 wherein associated with said links is a respective term coappearance probability, said respective term coappearance probability being related to a probability that said two terms corresponding to said two nodes coappear in a record of a person in said database.

7. The system of claim 6 wherein said term coappearance probability is dependent on the number of times said two respective terms coappear in a record of a person in said database.

8. The system of claim 1 further comprising:

d) a data input module configured to input a patient record, extract salient data from said patient record, and to store said salient data in said database.

9. The system of claim 8 further comprising wherein said data input module is configured to extract salient data from a free-form patient record.

10. The system of claim 1 further comprising:

e) a relationship identifying module configured to determine a relationship probability, said relationship probability being related to a probability that a nonappearing term, said nonappearing term not appearing in a record of a specific person in said database, is applicable to said specific person.

11. A method for accessibly storing medical data comprising:

a) providing a dictionary of terms, each one of said terms having no more than one meaning;

b) providing a relational database wherein each database record in said database corresponds to a single person and said medical terms are attributes in said database;

c) describing relationships between said terms using a directed acyclic graph comprising nodes and links between pairs of nodes wherein;

i. a node represents one said term; and

ii. a link between two nodes represents a finite probability that two terms corresponding to said two nodes coappear in a database record of a person in said database;

d) for a plurality of persons, from at least one medical record relating to each one of said persons, extracting at least one data item from said at least one medical record, wherein a data item indicates the applicability of at least one of said plurality of medical terms to a respective person; and

e) storing extracted data items in said relational database.

12. The method of claim 11 wherein each one of said terms in said dictionary is classified as belonging to a category.

13. The method of claim 11 wherein associated with said terms is a respective term appearance probability, said respective term appearance probability being related to a probability that a respective term appear in a record of a person in said database.

14. The method of claim 13 wherein said term appearance probability is dependent on the number of times a respective term appears in said database.

15. The method of claim 13 wherein said term appearance probability is dependent on an a priori probability that a respective term appear in a record of a person in said database.

16. The method of claim 11 wherein associated with said links is a respective term coappearance probability, said respective term coappearance probability being related to a probability that said two terms corresponding to said two nodes coappear in a record of a person in said database.

17. The method of claim 16 wherein said term coappearance probability is dependent on the number of times said two respective terms coappear in a record of a person in said database.

18. The method of claim 11 wherein said at least one medical record is a free-form medical record.