CURBSYD™: A MOBILE AND WEB-BASED COMMUNITY FOR PROVIDING REAL-TIME, EXPERT CONSULTATION, AND ANSWERS TO SPECIFIC CLINICAL QUESTIONS, USING ARTIFICIAL INTELLIGENCE, AND CROWD-SOURCING TECHNOLOGIES

• US 20120096089A1
• Filed: 10/14/2011
• Published: 04/19/2012
• Est. Priority Date: 10/14/2010
• Status: Abandoned Application

• Current Assignee: David Barash, Norman A. Paradis
• Original Assignee: David Barash, Norman A. Paradis
• Inventors: Barash, David, Paradis, Norman A.
• Application Number:
  US13/273,878
• Publication Number:
  US 20120096089A1
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• 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 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/61 taking into account QoS or priority requirements

Abstract

A smart electronic communications network comprised of clinicians and experts designed for the purpose of answering diagnostic and clinical questions and queries posed by subscribers and participants in of the network.

Claims

1. A smart electronic communications network comprised of clinicians and experts designed for the purpose of answering diagnostic and clinical questions and queries posed by subscribers and participants in of the network.

2. A smart electronic communications network according to claim 1 wherein the responses to queries from other members of the community are prioritized using technologies such as machine learning, artificial intelligence, and crowd sourcing.

3. A smart electronic communications network according to claim 1 wherein the formation of answers to queries are constructed and prioritized using technologies such as machine learning, artificial intelligence, and crowd sourcing applied both real-time answers and a hierarchical database of previously answered queries.

4. A smart electronic communications network according to claim 1 wherein the members of the network can post questions to other members via mobile devices, such as cellular phones or tablets, or via the internet, such as via a website.

5. A smart electronic communications network according to claim 1 wherein the queries posted can include text, image, voice or video.

6. A smart electronic communications network according to claim 1 wherein the query comprises a practitioner sending a request from a computer or mobile device to the system, and storage of the inquiry, which may include text, video, voice, or images.

7. A smart electronic communications network according to claim 1 wherein there is transmission of the inquiry to other providers within the network on their respective computers, websites, email or mobile devices.

8. A smart electronic communications network according to claim 1 wherein responses from other practitioners within the network to the original inquirer may occur via a website, mobile device, text message, phone call, or video conference.

9. A smart electronic communications network according to claim 1 wherein the practitioners would join the network as a member.

10. A smart electronic communications network according to claim 1 wherein the participants self-determine which areas, based on specialty or other areas of interest, of the network to which they prefer to belong, what types of questions which they wish to review and to which they may respond, what days or times that they may be available for review and responses to questions.

11. A smart electronic communications network according to claim 1 wherein the practitioners would be able to temporarily set their criteria for receiving and responding to inquiries, either based on day, time, or area of interest.

12. A smart electronic communications network according to claim 1 wherein the practitioners are required to provide proof of professional status to ensure appropriate access to certain portions of the network and to receiving certain classes of queries.

13. A smart electronic communications network according to claim 1 wherein the host of the network would verify the professional status of the member utilizing both public, private subscription, and proprietary databases.

14. A smart electronic communications network according to claim 1 wherein the members would be ranked in order to enable other members to evaluate the source of any communication, including inquiries and replies to inquiries.

15. A smart electronic communications network according to claim 1 wherein members are required to provide certain specific types of information to enable the network to rank the members.

16. A smart electronic communications network according to claim 1 wherein the ranking criteria would include such background items as:

education, years of professional work, and location and type of professional work.

17. A smart electronic communications network according to claim 1 wherein the ranking criteria would include such network history items as:

number of inquiries, number of responses, timeliness of responses, accuracy and usefulness of responses, actual clinical application of responses, professionalism and other feedback as rated by other members, etc.

18. A smart electronic communications network according to claim 1 wherein responses to inquiries would be automatically ranked by the ranking of the respondents and presented to the original inquirer in rank order.

19. A smart electronic communications network according to claim 1 wherein the text in responses to inquiries would be automatically evaluated for key words or phrases, the key words or phrases would be processed by proprietary algorithms to determine which textual responses are likely to be more accurate or valid.

20. A smart electronic communications network according to claim 1 wherein the text in responses to key word or phrases would be ranked by both frequency of presence in responses and by factors associated with the ranking of the respondent using the referenced key word or phrase.

21. A smart electronic communications network according to claim 1 wherein the text in responses to key word or phrases would be analyzed by association with qualifying words, such as “

not”

or “

likely”

.

22. A smart electronic communications network according to claim 1 wherein the text in responses to key word or phrases would be parsed, analyzed or quantified in total to calculate a ranking of most likely correct crowd-sourced answers for the inquirer.

23. A smart electronic communications network according to claim 1 wherein artificial intelligence technology is utilized for the priority ranking of responses to queries.

24. A smart electronic communications network according to claim 1 wherein crowd sourcing technology is utilized, alone or in combination with other technologies, for the priority ranking of responses to queries.

25. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering key interested parties access to the information transmitted through the network.

26. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering key interested parties, such as publishers, access to review the specific content of messages, both inquiries and responses.

27. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering key interested parties, such as publishers, access to members in order to offer references to pertinent clinical information in either published journals or books, or websites.

28. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering key interested parties priority status in rankings for responses.

29. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering key interested parties, such as individual practitioners, practices, hospitals or other healthcare institutions, priority status in rankings for responses such that these interested parties will have responses ranked higher in the response listings.

30. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering members premium features of the network.

31. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering members content without advertising.

32. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering members content based on specific individualized criteria.

33. A smart electronic communications network according to claim 1 wherein revenue will be augmented by offering members content based on specific individualized criteria which would be comprised of:

selected areas of content, such as specialty-specific areas, selected areas of content, such as industry information or practice management, premium levels of access to content, premium levels of access to certain members, ability to choice or accept content not available to basic services.

34. A smart electronic communications network according to claim 1 wherein revenue is generated by providing payments to experts providing answers and taking a portion of those payments as a transaction fee.

35. A smart electronic communications network according to claim 1 wherein revenue is generated by charging clinicians posing queries to the system, possibly modified based on the quality and utility of the answers provided to them.

36. A smart electronic communications network according to claim 1 wherein payments to experts providing answers is based on the system'"'"'s evaluation of the quality of the content within their answer.

37. A smart electronic communications network according to claim 1 wherein answers provided for each query are stored for future use.

38. A smart electronic communications network according to claim 1 wherein the database of previously answered queries is prioritized based on utilization.

39. A smart electronic communications network according to claim 1 utilizing artificial intelligence and machine learning for database searching in an effort to determine if a particular question that has been posed has already been asked and answered within the system.

40. A smart electronic communications network according to claim 1 in which the database of previously answered queries is prioritized based in valuations provided by clinicians utilizing database query answers.

41. A method for providing a response to a query, the method comprising:

submitting the query to a system which is connected in real-time to a plurality of pre-qualified individuals;

pushing the submitted query to at least some of the pre-qualified individuals;

receiving individual responses from at least some of the pre-qualified individuals and aggregating the received individual responses into an aggregated response according to a pre-determined scheme; and

pushing the aggregated response to the originator of the query.

42. Apparatus for providing a response to a query, the apparatus comprising:

a system connected in real-time to a plurality of pre-qualified individuals;

means for permitting one of the pre-qualified individuals to submit a query to the system;

means for pushing the submitted query to at least some of the pre-qualified individuals;

means for receiving individual responses from at least some of the pre-qualified individuals and for aggregating the received individual responses into an aggregated response according to a predetermined scheme; and

means for pushing the aggregated response to the originator of the query.