Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Claim Rejections - 35 USC § 112
The following is a quotation of 35 U.S.C. 112(b):
(b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph:
The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention.
Regarding claims 3-13, 15-17, 19-21, the base claim 1, has been canceled, a claim which depends thereon should be rejected as indefinite.
Claim Rejections - 35 USC § 103
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
Claim(s) 2, 14, 18 is/are rejected under 35 U.S.C. 103 as being unpatentable over Sullivan et al. (hereinafter Sullivan)(US 2016/0135706) in view of Movsisyan et al. (hereinafter Movsisyan)(US 20083590).
Regarding claim 2, Sullivan teaches an emergency response system(P[0274], emergency medical response system), comprising (Fig. 5):one or more hardware processors configured to: receive information relating to a real-time event from one or more computing devices(item 702 in Fig. 7; also P[0305]); implement one or more machine learning algorithms to determine an emergency medical services (EMS) code for the real-time event from a plurality of predefined EMS codes, said one or more machine learning algorithms comprising natural language processing configured to extract details of the real-time event from the information(item 704 in Fig. 7; risk score for multiple event periods; P[0306]; also P[0233], providing risk information to the first responder or medical professional; abstract, machine learning classifier models providing at least the first and second risk scores); identify an emergency responder from a plurality of emergency responders to respond to the real-time event with the one or more machine learning algorithms; cause dispatch of the emergency responder to respond to the real-time event based on the EMS code(P[0506], Patient data may be streamed in real time; P[0333], ECG data in substantially real time for analysis; P[0274], provide indication of the appropriate treatment or intervention to a responder; P[0285-0287], to a first responder);
Sullivan did not teach specifically receive, from the one or more computing devices, a status of the real-time event and a status of a subject of the real-time event, and identify a second emergency responder of the plurality of emergency responders to respond to the real-time event based at least in part on the status of the real-time event and the status of the subject of the real-time event. However, Movsisyan teaches in an analogous art receive, from the one or more computing devices, a status of the real-time event and a status of a subject of the real-time event, and identify a second emergency responder of the plurality of emergency responders to respond to the real-time event based at least in part on the status of the real-time event and the status of the subject of the real-time event(col. 11, lines 20-45; plurality of alert messages for which the second responder made qualifying notes; first responder exceeding the quantity threshold). Therefore, it would be obvious to one of ordinary skill in the art at the time of invention to use the system to receive, from the one or more computing devices, a status of the real-time event and a status of a subject of the real-time event, and identify a second emergency responder of the plurality of emergency responders to respond to the real-time event based at least in part on the status of the real-time event and the status of the subject of the real-time event in order to have improved efficiency.
Claims 14, 18 are rejected for the same reason as set forth in claim 2.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to MUTHUSWAMY GANAPATHY MANOHARAN whose telephone number is (571)272-5515. The examiner can normally be reached 6:30am-3:00pm.
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/MUTHUSWAMY G MANOHARAN/ Primary Examiner, Art Unit 2647
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