PROVIDING ADVISORY INFORMATION ASSOCIATED WITH DETECTED AUDITORY AND VISUAL SIGNS IN A PSAP ENVIRONMENT

• US 20140314212A1
• Filed: 04/22/2013
• Published: 10/23/2014
• Est. Priority Date: 04/22/2013
• Status: Abandoned Application

• Current Assignee: Avaya Incorporated
• Original Assignee: Avaya Incorporated
• Inventors: Bentley, Jon, Michaelis, Paul Roller, Fletcher, Mark
• Application Number:
  US13/867,769
• Publication Number:
  US 20140314212A1
• Time in Patent Office: Days
• US Class Current: 379/38
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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: H04M 2201/40 using speech recognition
• CPC Class Codes: H04M 2201/50 Telephonic communication in combination with video communication
• CPC Class Codes: H04M 2203/1075 Telemetering, e.g. transmission of ambient measurements
• CPC Class Codes: H04M 2203/2038 Call context notifications
• CPC Class Codes: H04M 3/5116 for emergency applications

Abstract

A Public Safety Answering Point (PSAP) is configured to enable the detection of one or more clinical signs associated with a caller. The clinical signs may include both auditory and visual clinical signs and may be detected by analyzing a portion of the call information to determine one or more characteristics associated with the call information and comparing the one or more determined characteristics to known clinical sign characteristics. The PSAP may additionally or alternatively utilize the detection of the clinical signs to assist and/or provide an advisory recommendation in the decision of which, if any first responder resources should be dispatched; the recommendation may include which resources and at what priority the resources should be dispatched.

Claims

1. A method for automatically detecting clinical signs at a Public Safety Answering Point (PSAP), comprising:

receiving a contact initiated from a caller;

analyzing the contact to determine a contact characteristic;

based upon the contact characteristic, delivering call information associated with the contact to a clinical signs detection module;

automatically analyzing the call information and separately extracting one or more non-speech components from speech components;

automatically performing an analysis on the one or more non-speech components to determine a characteristic associated with the one or more non-speech components;

automatically comparing the characteristic associated with the one or more non-speech components to known characteristics associated with at least one clinical sign; and

providing, as a detected clinical sign associated with the contact, an indication of the at least one clinical sign to at least one workstation associated with a PSAP agent.

3. The method of claim 1, further comprising:

determining whether the one or more non-speech components are associated with breath sounds; and

measuring a respiratory rate based on the non-speech components that are associated with breath sounds.

4. The method of claim 1, further comprising:

automatically analyzing the call information for one or more speech components;

automatically performing an analysis on the one or more speech components to determine a characteristic associated with the one or more speech components; and

determining whether the characteristic associated with the one or more speech components matches known characteristics associated with at least one clinical sign.

5. The method of claim 4, further comprising:

converting the one or more speech components into one or more words; and

performing a contextual analysis on the one or more words to determine at least one of (i) the caller repeats one or more words;

(ii) one or more words spoken by the caller are contextually in the wrong order;

(iii) one or more words are slurred; and

(iv) the caller speaks in short, fragmented phrases.

6. The method of claim 4, further comprising:

analyzing the call information for one or more portions of video; and

performing an analysis on the one or more portions of video to detect one or more visual clinical signs.

7. The method of claim 6, further comprising:

determining whether a pupil associated with the contact varies with respect to one or more of size and reactivity.

8. The method of claim 6, further comprising:

indicating on a workstation of a PSAP agent, the one or more visual clinical signs.

9. The method of claim 1, wherein the detected clinical sign associated with the contact is for a caller other than the caller that initiated the contact.

10. The method of claim 1, further comprising

dispatching resources based on the detected clinical sign associated with the contact;

and

providing the dispatched resources the detected clinical sign associated with the contact.

11. The method of claim 1, wherein the analyzing further comprises:

analyzing a portion of the call information to detect a change in the detected clinical sign associated with the contact, wherein the change is associated with one or more of a pattern and a trend.

2. (canceled)

12. A non-transitory computer readable information storage medium having stored thereon instructions that cause a computing system to execute a method of automatically detecting clinical signs at a Public Safety Answering Point (PSAP) comprising:

receiving a contact initiated from a caller;

analyzing the contact to determine a contact characteristic;

based upon the contact characteristic, delivering call information associated with the contact to a clinical signs detection module;

automatically analyzing the call information and separately extracting one or more non-speech components from speech components;

automatically performing an analysis on the one or more non-speech components to determine a characteristic associated with the one or more non-speech components;

automatically comparing the characteristic associated with the one or more non-speech components to known characteristics associated with at least one clinical sign; and

providing an indication of the at least one clinical sign to at least one workstation associated with a PSAP agent.

13. The non-transitory computer-readable medium of claim 12, wherein the instructions further comprise:

determining whether the one or more non-speech components are associated with breath sounds.

14. The non-transitory computer-readable medium of claim 12, wherein the instructions further comprise:

analyzing the call information for one or more speech components;

performing an analysis on the one or more speech components to determine a characteristic associated with the one or more speech components; and

determining whether the characteristic associated with the one or more speech components matches known characteristics associated with at least one clinical sign.

15. The non-transitory computer-readable medium of claim 14, wherein the instructions further comprise:

converting the one or more speech components into one or more words; and

performing a contextual analysis on the one or more words to determine at least one of (i) the caller repeats one or more words;

(ii) one or more words spoken by the caller are contextually in the wrong order;

(iii) one or more words are slurred; and

(iv) the caller speaks in short, fragmented phrases.

16. The non-transitory computer-readable medium of claim 12, wherein the instructions further comprise:

analyzing the call information for one or more portions of video; and

performing an analysis on the one or more portions of video to detect one or more visual clinical signs.

17. A system that facilitates automatically detecting clinical signs at a Public Safety Answering Point (PSAP), comprising:

a workstation that receives a contact initiated from a caller;

a clinical signs analysis module configured to analyze the contact to determine a contact characteristic and based upon the contact characteristic, and deliver call information associated with the contact to a clinical signs detection module, wherein one or more modules of the clinical signs detection module are configured to automatically analyze the call information and separately extracts one or more non-speech components from speech components, automatically perform an analysis on the one or more non-speech components to determine a characteristic associated with the one or more non-speech components, and automatically compare the characteristic associated with the one or more non-speech components to known characteristics associated with at least one clinical sign, wherein the clinical signs analysis module is further configured to provide an indication of the at least one clinical sign to at least one workstation associated with a PSAP agent.

19. The system of claim 17, further comprising one or more modules configured to determine whether the one or more non-speech components are associated with breath sounds.

20. The system of claim 17, further comprising one or more modules configured to:

analyze the call information for one or more speech components;

perform an analysis on the one or more speech components to determine a characteristic associated with the one or more speech components; and

determine whether or not the characteristic associated with the one or more speech components matches known characteristics associated with at least one clinical sign.

21. The system of claim 17, further comprising one or more modules configured to:

analyze the call information for one or more portions of video; and

perform an analysis on the one or more portions of video to detect one or more visual clinical signs.

18. (canceled)