System and method for coordinated health monitoring, emergency response, and medical record delivery

• US 8,970,381 B2
• Filed: 02/19/2013
• Issued: 03/03/2015
• Est. Priority Date: 08/06/2008
• Status: Active Grant

• Current Assignee: Noel J. Guillama, Quantum Group Inc., SynaBee, Inc.
• Original Assignee: Noel J. Guillama, Quantum Group Inc., SynaBee, Inc.
• Inventors: Heath, Chester, Guillama, Noel J.
• Primary Examiner(s): Tweel, Jr., John A
• Application Number:
  US13/770,301
• Publication Number:
  US 20130166323A1
• Time in Patent Office: 742 Days
• Field of Search: 340/573.1, 455/456.1, 455/456.3, 705/2, 705/3
• US Class Current: 340/573.1
• CPC Class Codes: A61B 2505/01 Emergency care
• 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 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G08B 25/08 using communication transmission lines G08B13/19658, G08B21/0286, G08B25/016 take precedence
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A computer-based system for providing coordinated health monitoring, emergency response, and medical record delivery. The system can include computing devices configured to process emergency-related indicators and data. The system can also include monitoring devices communicatively linked to the computing devices. The monitoring devices can be configured to monitor a particular area for the emergency-related indicators and data, wherein the monitoring devices detect speech, sounds, images and other detectable emergency-related indicators. The monitoring devices can also be configured to transmit the emergency-related indicators and data to the computing devices. Furthermore, the system can include a module linked to the monitoring devices and configured to execute on the computing devices. The module can analyze the transmitted emergency-related indicators and data to determine whether there is an emergency, communicate with a monitoring service to validate that an emergency exists, and provide access to patient records to authorized personnel, when an emergency exists.

Claims

1. A computer-based method for medical record delivery, the method comprising the steps of:

receiving a request for records associated with a patient;

based on at least one an episodic social network model and a stored patient profile of health and wellness of the patient, identifying one or more episodic social networks (ESNs) associated with the patient;

based on a set of release rules, the request, and the ESNs associated with the patient, selecting one or more portions of the patient profile to release to the requestor.

2. The method of claim 1, further comprising:

based on the episodic social network model, the stored patient profile of health and wellness of the patient, and a current health and wellness of the patient, identifying one or more future ESNs associated with the patient; and

recommending a treatment protocol for the patient based on the future ESNs.

3. The method of claim 1, wherein the request comprises a diagnosis for the patient, wherein each portion of the patient profile is associated with at least one diagnosis, and wherein the set of release rules specifies releasing at least a portion of the patient profile associated with the diagnosis in the request.

4. The method of claim 1, wherein the request comprises a medical specialty of the requestor, wherein each portion of the patient profile is associated with at least one medical specialty, and wherein the set of release rules specifies releasing at least a portion of the patient profile associated with the medical specialty in the request.

5. The method of claim 1, further comprising:

identifying one or more other patients exposed to the patient;

repeating the receiving, identifying, and selecting for each of the other patients, wherein the ESNs associated with each of the other patients comprise past, current, and future ESNs; and

generating a treatment protocol for each of the other patient based on corresponding ones of the future ESNs.

6. The method of claim 1, further comprising collecting health and wellness information for the patient based on at least one of biometric data associated with the patient and machine-readable code embedded in an identifying object associated with the patient.

7. The method of claim 6, wherein the machine readable code in the identifying object is configured to vary in response to changes in the current health and wellness of the patient.

13. The system of claim 1, the computer readable medium further comprising code sections for causing the processor to perform the step of:

collecting health and wellness information for the patient based on at least one of biometric data associated with the patient and machine-readable code embedded in an identifying object associated with the patient.

8. A system for medical record delivery, comprising:

a processor;

a computer readable medium comprising a plurality of code sections for causing the processor to perform the steps of;

receiving a request for records associated with a patient;

based on at least one an episodic social network model and a stored patient profile of health and wellness of the patient, identifying one or more episodic social networks (ESNs) associated with the patient;

based on a set of release rules, the request, and the ESNs associated with the patient, selecting one or more portions of the patient profile to release to the requestor.

9. The system of claim 8, the computer readable medium further comprising code sections for causing the processor to perform the steps of:

based on the episodic social network model, the stored patient profile of health and wellness of the patient, and a current health and wellness of the patient, identifying one or more future ESNs associated with the patient; and

recommending a treatment protocol for the patient based on the future ESNs.

10. The system of claim 8, wherein the request comprises a diagnosis for the patient, wherein each portion of the patient profile is associated with at least one diagnosis, and wherein the set of release rules specifies releasing at least a portion of the patient profile associated with the diagnosis in the request.

11. The system of claim 8, wherein the request comprises a medical specialty of the requestor, wherein each portion of the patient profile is associated with at least one medical specialty, and wherein the set of release rules specifies releasing at least a portion of the patient profile associated with the medical specialty in the request.

12. The system of claim 8, the computer readable medium further comprising code sections for causing the processor to perform the steps of:

identifying one or more other patients exposed to the patient;

repeating the receiving, identifying, and selecting for each of the other patients, wherein the ESNs associated with each of the other patients comprise past, current, and future ESNs; and

generating a treatment protocol for each of the other patient based on corresponding ones of the future ESNs.

14. A non-transitory computer-readable medium having stored thereon a plurality of code sections for causing a computing device to perform a method for medical record delivery, the method comprising the steps of:

receiving a request for records associated with a patient;

based on at least one an episodic social network model and a stored patient profile of health and wellness of the patient, identifying one or more episodic social networks (ESNs) associated with the patient;

based on a set of release rules, the request, and the ESNs associated with the patient, selecting one or more portions of the patient profile to release to the requestor.

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

based on the episodic social network model, the stored patient profile of health and wellness of the patient, and a current health and wellness of the patient, identifying one or more future ESNs associated with the patient; and

recommending a treatment protocol for the patient based on the future ESNs.

16. The non-transitory computer-readable medium of claim 14, wherein the request comprises a diagnosis for the patient, wherein each portion of the patient profile is associated with at least one diagnosis, and wherein the set of release rules specifies releasing at least a portion of the patient profile associated with the diagnosis in the request.

17. The non-transitory computer-readable medium of claim 14, wherein the request comprises a medical specialty of the requestor, wherein each portion of the patient profile is associated with at least one medical specialty, and wherein the set of release rules specifies releasing at least a portion of the patient profile associated with the medical specialty in the request.

18. The non-transitory computer-readable medium of claim 14, wherein the method further comprises:

identifying one or more other patients exposed to the patient;

repeating the receiving, identifying, and selecting for each of the other patients, wherein the ESNs associated with each of the other patients comprise past, current, and future ESNs; and

generating a treatment protocol for each of the other patient based on corresponding ones of the future ESNs.

19. The non-transitory computer-readable medium of claim 14, wherein the method further comprises collecting health and wellness information for the patient based on at least one of biometric data associated with the patient and machine-readable code embedded in an identifying object associated with the patient.