Computerized medical diagnostic and treatment advice system including network access

• US 9,005,119 B2
• Filed: 10/31/2007
• Issued: 04/14/2015
• Est. Priority Date: 12/29/1993
• Status: Expired due to Fees

• Current Assignee: Clinical Decision Support, LLC (Tivity Health, Inc.)
• Original Assignee: Clinical Decision Support, LLC (Tivity Health, Inc.)
• Inventors: Iliff, Edwin C.
• Primary Examiner(s): Jackson, Gary
• Assistant Examiner(s): JIAN, SHIRLEY XUEYING
• Application Number:
  US11/932,784
• Publication Number:
  US 20080051638A1
• Time in Patent Office: 2,722 Days
• Field of Search: 600300-301, 705 1- 4
• US Class Current: 600/300
• CPC Class Codes: A61B 2560/0271 using a remote monitoring unit
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• 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 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 128/904 Telephone telemetry
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics
• CPC Class Codes: Y10S 128/925 Neural network

Abstract

A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over networks, such as a telephone network or a computer network. The invention also includes a stand-alone embodiment that may utilize occasional connectivity to a central computer by use of a network, such as the Internet. New authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A re-enter feature monitors the user'"'"'s changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

Claims

1. A medical diagnostic and treatment advice system for providing information to a patient, the system comprising:

a server connected to a public data network and having a storage with a plurality of medical algorithms, wherein the server;

a) conducts periodic direct interactive dialogues between the server and a user to receive patient information from the user over the public data network, the periodic direct interactive dialogues including multiple choice questions and user answers, the patient information including at least a subjective user input, the subjective user input factored by a patient specific sensitivity factor, wherein the patient specific sensitivity factor is tuned by the user based on its application to the patient;

b) selectively executes at least one of the medical algorithms based on at least a portion of the received information;

c) encrypts at least a portion of the patient information and diagnosis information indicative of a diagnosed condition;

d) transmits the encrypted diagnosis information to the user over the public data network; and

e) transmits the encrypted patient information to a health maintenance organization or an insurance carrier over the public data network.

2. The system of claim 1, wherein the public data network is the Internet.

3. The system of claim 1, wherein the user associated with the interactive dialogue is a patient or a proxy or assistant thereto.

4. The system of claim 1, wherein the user associated with the interactive dialogue is a medical professional.

5. The system of claim 1, further comprising a medical history database in data communications with the server configured to store medical data.

6. The system of claim 5, wherein the medical data is securely stored.

7. The system of claim 1, wherein the at least one medical algorithm scores at least a portion of the received information and diagnoses a medical condition associated with the executed medical algorithm if the score reaches or passes a threshold.

8. The system of claim 1, wherein the server monitors and manages patient traffic, demand, and queuing.

9. The system of claim 1, wherein the server communicates with a credit agency or a bank over the public data network.

10. The system of claim 1, wherein the server communicates with a laboratory, pharmacy, or health supply store over the public data network.

11. The system of claim 1, wherein the diagnosis information comprises scripts, data, advice, or reports.

12. The system of claim 1, wherein the patient information further comprises an objective measurement, a subjective user input and a combination of the objective measurement and subjective user input, the objective measurement and subjective user input factored by a patient specific sensitivity factor and a time density ratio, wherein the patient specific sensitivity factor is tuned by the system based on its application to the patient.

13. A method of providing a medical diagnosis using a medical diagnosis system having a server, the method comprising:

storing a plurality of medical algorithms;

conducting periodic direct interactive dialogues between a user and the server;

receiving, at the server over a public data network via the direct interactive dialogues, patient information from the user, the periodic direct interactive dialogues including multiple choice questions and user answers, the patient information including at least a subjective user input, the subjective user input factored by both a patient specific sensitivity factor, wherein the patient specific sensitivity factor is tuned by the user based on its application to the patient;

generating a medical diagnosis by selectively executing at least one of the medical algorithms at the server based on at least a portion of the received patient information;

encrypting at least a portion of the patient information and diagnosis information indicative of the medical diagnosis;

transmitting the encrypted diagnosis information to the user over the public data network;

transmitting the encrypted patient information to a health maintenance organization or an insurance carrier over the public data network.

14. The method of claim 13, wherein the public data network is the Internet.

15. The method of claim 13, wherein the user associated with the interactive dialogue is a patient or a proxy or assistant thereto.

16. The method of claim 13, wherein the user associated with the interactive dialogue is a medical professional.

17. The method of claim 13, further comprising storing the received patient information in a medical history database.

18. The method of claim 13, wherein the at least one medical algorithm scores at least a portion of the received patient information and generates the medical diagnosis based on whether the score reaches or passes a threshold.

19. The method of claim 13, wherein the diagnosis comprises at least one of:

a single medical condition, and a differential diagnosis list.

20. The method of claim 13, wherein the patient information further comprises an objective measurement, a subjective user input and a combination of the objective measurement and subjective user input, the objective measurement and subjective user input factored by a patient specific sensitivity factor and a time density ratio, wherein the patient specific sensitivity factor is tuned by the system based on its application to the patient.

22. The method of claim 13, wherein the patient information is representative of at least one of:

a medical history, a medical record, a family history, an international classification of diseases (ICD) code, an environmental event, a cause of injury, a drug use, a vaccination, a symptom, a syndrome, or a disease.

21. A system for providing a medical diagnosis, the system comprising:

means for receiving, via direct interactive dialogue between a server and a user over a public data network, patient information from the user, the periodic direct interactive dialogues including multiple choice questions and user answers, the patient information including at least a subjective user input, the subjective user input factored by a patient specific sensitivity factor, wherein the patient specific sensitivity factor is tuned by the user based on its application to the patient;

means for generating a medical diagnosis by selectively executing at least one of a plurality of stored medical algorithms based on at least a portion of the received patient information;

means for encrypting at least a portion of the patient information and diagnosis information indicative of the medical diagnosis;

means for transmitting the encrypted diagnosis information to the user over the public data network; and

means for transmitting the encrypted patient information to a health maintenance organization or an insurance carrier over the public data network.

23. The system of claim 21, wherein the patient information further comprises an objective measurement, a subjective user input and a combination of the objective measurement and subjective user input, the objective measurement and subjective user input factored by a patient specific sensitivity factor and a time density ratio, wherein the patient specific sensitivity factor is tuned by the system based on its application to the patient.