CUSTOMIZABLE CONTEXT AND USER-SPECIFIC PATIENT REFERENCEABLE MEDICAL DATABASE

• US 20140324469A1
• Filed: 04/30/2014
• Published: 10/30/2014
• Est. Priority Date: 04/30/2013
• Status: Abandoned Application

• Current Assignee: Bruce Reiner
• Original Assignee: Bruce Reiner
• Inventors: REINER, Bruce
• Application Number:
  US14/265,941
• Publication Number:
  US 20140324469A1
• 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 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 70/20 relating to practices or guidelines

Abstract

The present invention is related to a patient-specific referenceable database which can record and track medical data throughout the healthcare and provider networks, be customized to the individual needs and preferences of healthcare providers, and adapted to the specific context being performed. The computer-implemented method and a system includes: saving data in a data hierarchy, including major data categories, in a database; wherein the data includes primary data representing various medical disciplines, and including all current and historical medical diagnoses and other data on a patient; retrieving and analyzing medical data from the database, in a data search in response to a search query, the medical data being specific to one of the medical disciplines related to one of the major data categories on the patient; and displaying the patient medical data on a display for user review in accordance with the user'"'"'s electronic profile and preferences.

Claims

1. A computer-implemented method of recording and tracking medical data, comprising:

saving data in a data hierarchy, including major data categories, in a database;

wherein said data includes primary data, representing various medical disciplines, including all current and historical medical diagnoses and other data on a patient;

retrieving and analyzing medical data from said database, using a processor, in a data search in response to a search query, said medical data being specific to one of said medical disciplines related to one of said major data categories on said patient; and

displaying said medical data on said patient on a display for user review in accordance with said user'"'"'s electronic profile and preferences.

2. The method of claim 1, wherein history and physical data is a primary data category, and one of sub-categories or all relevant data under said history and physical primary data category, can be retrieved from said database.

3. The method of claim 1, further comprising:

saving results of each search query in said database.

4. The method of claim 1, further comprising:

incorporating results of said data search from each said search query, using said processor, into a future data search protocols to provide pre-populated data search protocols to said user.

5. The method of claim 4, wherein said data search protocols can be modified.

6. The method of claim 4, further comprising:

importing data search protocols between users, using said processor.

7. The method of claim 6, further comprising:

utilizing artificial intelligence inferencing, using said processor, to determine additional data elements to include in each said data search.

8. The method of claim 7, further comprising:

integrating electronic data tracking tools using said processor, into said data search, to monitor and analyze methods of accessing, viewing, and acting upon said data; and

utilizing statistical methods and artificial intelligence techniques, using said processor, to identify similarities for predicting future use.

9. The method of claim 8, wherein said electronic data tracking tools include electronic auditing tools and/or eye tracking software.

10. The method of claim 9, further comprising:

creating automated data presentation and workflow templates, using said processor, based upon analysis of results of said electronic tracking tools.

11. The method of claim 8, further comprising:

prioritizing or ignoring data for saving in said database, using said processor, and/or identifying priority or actionable data for including in said database.

12. The method of claim 11, further comprising:

utilizing data triggers, using said processor, to search, characterize, and select priority or actionable data for inclusion in said database;

wherein said data triggers include at least one of clinical significance, follow-up recommendations, quality assurance events, temporal change, medical or surgical intervention, critical results communication, medical referral or consultation, hospitalization or medical transfer, new or altered medical diagnosis, new or altered medical treatment, or a custom data trigger predetermined by an institutional or individual service provider.

13. The method of claim 11, further comprising:

verifying data using a secondary party, using said processor, before inclusion of said data in said database.

14. The method of claim 13, further comprising:

determining an accuracy of said data being utilized from said data search, using said processor, by validating, refuting, or modifying said data, to provide quality assurance on said data; and

recording at least one of an identity of said source of said data, an editing source, supporting data, or date/time of data transaction, in said database.

15. The method of claim 14, further comprising:

categorizing, using said processor, a quality assurance deficiency with said data and any actions taken; and

providing an automated feedback function, using said processor, to notify said source of said data when said data has said quality assurance deficiency, and to provide said source with results of further data analysis.

16. The method of claim 15, further comprising:

performing data analytics, using said processor, to provide users with statistical data regarding a relative reliability and accuracy of various data sources, to determine which sources are to be used in an automated data search.

17. The method of claim 1, further comprising:

implementing data sensitivity filters, using said processor, such that a desired level of data granularity is achieved in said data search.

18. The method of claim 1, further comprising:

automatically retrieving from said database, and reviewing, using said processor, data search and presentation templates of other users.

19. A non-transitory computer-readable medium containing executable code for recording and tracking medical data, comprising:

saving data in a data hierarchy, including major data categories, in a database;

wherein said data includes primary data, representing various medical disciplines, including all current and historical medical diagnoses and other data on a patient;

retrieving and analyzing medical data from said database, using a processor, in a data search in response to a search query, said medical data being specific to one of said medical disciplines related to one of said major data categories on said patient; and

displaying said patient data on a display for user review in accordance with said user'"'"'s electronic profile and preferences.

20. A computer system which records and tracks medical data, comprising:

at least one memory which contains at least one program which comprises the steps of;

saving data in a data hierarchy, including major data categories, in a database;

wherein said data includes primary data, representing various medical disciplines, including all current and historical medical diagnoses and other data on a patient;

retrieving and analyzing medical data from said database, using a processor, in a data search in response to a search query, said medical data being specific to one of said medical disciplines related to one of said major data categories on said patient; and

displaying said patient data on a display for user review in accordance with said user'"'"'s electronic profile and preferences; and

at least one processor for executing the program.