Prosecution Insights
Last updated: April 19, 2026
Application No. 18/851,014

SUBJECT MONITORING

Final Rejection §103
Filed
Sep 25, 2024
Examiner
GEBRESENBET, DINKU W
Art Unit
2164
Tech Center
2100 — Computer Architecture & Software
Assignee
British Telecommunications Public Limited Company
OA Round
2 (Final)
71%
Grant Probability
Favorable
3-4
OA Rounds
3y 7m
To Grant
99%
With Interview

Examiner Intelligence

Grants 71% — above average
71%
Career Allow Rate
428 granted / 604 resolved
+15.9% vs TC avg
Strong +35% interview lift
Without
With
+35.1%
Interview Lift
resolved cases with interview
Typical timeline
3y 7m
Avg Prosecution
13 currently pending
Career history
617
Total Applications
across all art units

Statute-Specific Performance

§101
15.5%
-24.5% vs TC avg
§103
51.9%
+11.9% vs TC avg
§102
15.6%
-24.4% vs TC avg
§112
4.5%
-35.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 604 resolved cases

Office Action

§103
DETAILED ACTION 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 . Response to amendment This office action is in response to an amendment filed on August 06, 2025 in response to PTO office action dated May 07, 2025. The amendment has been entered and considered. Claims 1, 8 and 15 have been amended. New claims 16 and 17 have been added. As a result, Claims 1-17 are pending in this office action. Applicant’s amendment to claims 1-7 with respect to the rejection of the claims under 35 U.S.C. 101 has been fully considered. As a result, the rejection has been withdrawn. Applicant’s argument and amendment to claims 1-15 with respect to the rejection of the claims under 35 U.S.C. 101 has been fully considered. As a result, the rejection has been withdrawn. Applicant’s arguments with respect to the rejection of claims under 35 U.S.C. § 103(a) have been fully considered bur are moot in view of the new grounds of rejection. This action is FINAL. 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 of this title, 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. Claims 1-3, 6-10 and 13-17 are rejected under AIA 35 U.S.C. 103 as being unpatentable over Govindjee et al. (US 20200219605 A1) in view of Bakshi et al. (US 20170068683 A1) further in view of Cheng (US 20200065680 A1) further in view of Meijer (US 20130110876 A1) further in view of Hideo (JP 2001333219 A). Regarding claims 1, 8 and 15 Govindjee discloses system for monitoring a subject (see Govindjee paragraph [0003], A status of the patient is monitored in real time via an internet of things network associated with the patient to detect an actual event of the patient differing from the treatment schedule), the system comprising: one or more sensors configured to collect data relating to the subject (see Govindjee paragraph [0052], Profile handler 120 can also, with patient consent, automatically collect and store in repository 250 information collected from IoT devices 210A-N of IoT network 200); …the response comprising summary data generated using the respective data processor for that query… the summary data conveying less information about the subject than the data; and a query processor, including on or more hardware processors, configured to: (see Govindjee paragraph [0054] instant collector 132 collects real-time information based on a profile of a patient for storage in the structure of ICDOs 300. To accomplish this, instant collector 132 can orchestrate continuous data collection from IoT network 200, which is formed from a plurality of data collection IoT devices 210A-N. Data collection IoT devices 210A-N can, with the patient's permission, track both biometric data and food intake data of the user and report this tracked information to instant collector 132). Bakshi expressly discloses query pattern store, including a non-transitory computer-readable storage medium, configured to store one or more query patterns, each query pattern being associated with a respective data processor for generating summary data based on the data (see Bakshi paragraph [0004] selecting a query pattern from a query pattern database; identifying an entity that is associated with one or more search queries received during the search session; generating a suggested search query based on the selected query pattern and the identified entity; and providing data that causes the generated suggested search query to be presented in a user interface). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Bakshi into the method of Govindjee to have query pattern store configured to store one or more query patterns. Here, combining Bakshi with Govindjee, which are both related to updating map data, improves Govindjee by providing system that system uses the recent search queries received during the search session as context terms to bias the scoring of potential suggested search queries (see Bakshi paragraph [0003]). Cheng expressly discloses receive a query regarding the subject from a user of the system; identify a query pattern that matches the query (see Cheng paragraph [0032], intelligent and interactive knowledge system 218 utilizes query intention classification component 220 to identify query intent and keywords of received data queries, such as data query 224. Query intention classification component 220 may utilize, for example, natural language processing to identify the query intent and keywords of data query 224. Query intention classification component 220 may determine the query intent by extracting the context and semantic meaning of the keywords of data query 224. Keywords are words or phrases that have a particular meaning in the context of data query 224). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Cheng into the method of Govindjee to have receive a query regarding the subject. Here, combining Cheng with Govindjee, which are both related to updating map data, improves Govindjee by providing system that that enhances the data query using the analytic concepts answering the set of questions (see Cheng paragraph [0006]). Meijer expressly discloses determine whether the user is permitted to make queries matching that query pattern; and in response to determining that the user is permitted, provide a response to the query (see Meijer paragraph [0007] an embodiment includes receiving, by at least one computing device, queries directed at a datastore, analyzing permissions associated with the queries, wherein analyzing the permissions includes determining access levels of the queries. Then, in response to the determining the access levels, responding to the queries while masking data in the datastore. Additionally, another embodiment can include analyzing query contexts and filtering responses to the queries in response to the queries contexts, and selecting responses to the queries in response to the filtering). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Meijer into the method of Govindjee to have query pattern store configured to store one or more query patterns. Here, combining Meijer with Govindjee, which are both related to updating map data, improves Govindjee by providing system that that enhances the data query using the analytic concepts answering the set of questions (see Meijer paragraph [0006]). Hideo expressly discloses the summary data indicate an answer to an intent associated with the query pattern (see Hideo paragraph [0013], The result is created, and the search unit 110 searches the answer case database 117 to derive corresponding answer case data. The content of the derived answer case data and the result compiled by the search information pattern generation unit 109 are compared by the cause investigation / answer determination unit 111 to determine the cause, specify a coping method, and provide the audio guide reproduction unit 103 To play the answer). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Hideo into the method of Govindjee to have query pattern store configured to store one or more query patterns. Here, combining Hideo with Govindjee, which are both related to query processing, improves Govindjee by providing system improve the search efficiency by extracting terms used in the help desk system apparatus from the contents of an inquiry and removing irrelevant data to clarify the contents of the search. The confirmation items to different customers are patterned for each case, the confirmation efficiency is improved, and the answer search for the inquiry and the answer are automated (see Hideo paragraph [0004]). Regarding claims 2 and 9 Cheng expressly discloses at least one of the query patterns indicates one or more respective parameters to be extracted from queries that match that query pattern (see Cheng paragraph [0032], Query intention classification component 220 may determine the query intent by extracting the context and semantic meaning of the keywords of data query 224. Keywords are words or phrases that have a particular meaning in the context of data query 224); the respective data processor associated with that query pattern is configured to generate the summary data based on the one or more respective parameters (see Cheng paragraph [0056], query result performance of a computer by using extracted IoT-based personal data, which correspond to the user and the query intent and keywords of the original data query submitted by the user, and decrease user cost in terms of data query input time and effort); and the query processor is further configured to extract the one or more respective parameters from the query in response to the query matching the at least one of the query patterns and provide the parameters to the respective data processor for that query pattern when generating the summary data (see Cheng paragraph [0056], query result performance of a computer by using extracted IoT-based personal data, which correspond to the user and the query intent and keywords of the original data query submitted by the user, and decrease user cost in terms of data query input time and effort). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Cheng into the method of Govindjee to have receive a query regarding the subject. Here, combining Cheng with Govindjee, which are both related to updating map data, improves Govindjee by providing system that that enhances the data query using the analytic concepts answering the set of questions (see Cheng paragraph [0006]). Regarding claims 3 and 10 Bakshi discloses a query suggestion module configured to suggest one or more queries to the user of the system that match query patterns that the user is permitted to make (see Bakshi paragraph [0049], the request for the suggested search query includes a partial search query that, in turn, includes one or more characters input by a user. For example, the request for the suggested search query may include the terms “weather in |.” In other implementations, the request for the suggested search query may not include any characters input by a user. For example, the request for the suggested search query may include an indication that the user has started a new search query, prior to the user inputting one or more characters). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Bakshi into the method of Govindjee to have query pattern store configured to store one or more query patterns. Here, combining Bakshi with Govindjee, which are both related to updating map data, improves Govindjee by providing system that system uses the recent search queries received during the search session as context terms to bias the scoring of potential suggested search queries (see Bakshi paragraph [0003]). Regarding claims 6 and 13 Govindjee discloses wherein the determination as to whether the user is permitted to make queries matching a query pattern is based, at least in part, on a role assigned to the user (see Govindjee paragraph [0042], physical description 320 of the patient can include any other readings or observations generally noted by a doctor or other healthcare professional, such as blood pressure, pulse, temperature, chronic medical complaints (e.g., joint ache, shortness of breath), current health state (e.g., patient currently has a cold/flu), etc. A patient can provide his or her permission to make such medical data available to system 100 and ICDO 300, as well as a doctor or other healthcare professional). Regarding claims 7 and 14 Govindjee discloses wherein the subject is an occupant in a domestic environment that the one or more sensors are configured to monitor (see Govindjee paragraph [0003], A status of the patient is monitored in real time via an internet of things network associated with the patient to detect an actual event of the patient differing from the treatment schedule). Regarding claims 16 and 17 Govindjee discloses wherein the subject is a human subject and the one or more sensors are embedded within one or more wearable IoT devices that are associated with the human subject (see Govindjee paragraph [0054], ReData collection IoT devices 210A-N can include smart scale 212 for measuring a weight 328 of the patient and uploading it to IoT network 200; wearable 214 for tracking biometrics of the patient (e.g., physical activity 332, metabolism 334); smart plate 216 and camera devices 218A (e.g., web camera), 218B (e.g., action camera), and 218C (e.g., body-worn camera) for monitoring food intake events 350; and personal devices 220 of the patient and professional-controlled computer devices 222 for entering initial symptom and diagnosis information about the patient and receiving medical updates on the patient). Claims 4-5 and 11-12 are rejected under AIA 35 U.S.C. 103 as being unpatentable over Govindjee et al. (US 20200219605 A1) in view of Bakshi et al. (US 20170068683 A1) further in view of Cheng (US 20200065680 A1) further in view of Meijer (US 20130110876 A1) further in view of Hideo (JP 2001333219 A)and further in view of Amit (US 20130340031 A1). Regarding claims 4 and 11 Amit expressly discloses wherein the query processor is further configured to carry out one or more predetermined actions in response to determining that the user is not permitted to make queries matching the query pattern (see Amit paragraphs [0098]-[0099], A Security Logic Implementor (SLI) 490 may be configured to perform a predetermined security action. In some exemplary embodiments, the Rules Enforcer 480 may be associated with one or more security action and may perform the security actions upon receipt of a request. SLI 490 may utilize a Request Blocker 492 to block certain requests, such as all requests received by Rules Enforcer 480, request containing unauthorized data, or the like. Additionally or alternatively, SLI 490 may modify a request using Request Modifier 494 and transmit the modified request to the target server. Additionally or alternatively, SLI 490 may transmit a response instead of forwarding the request to the target server, such as for exampling redirecting the client to another URL. The other URL may be an HTTPS version of the requested URL…[0099] Additionally or alternatively, SLI 490 may determine, such as based on the characteristics of the request, the content of the request, or the like, that the request is permitted and transmit it to the target server). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Amit into the method of Govindjee to have carry out one or more predetermined actions in response to determining that the user is not permitted to make queries matching the query pattern. Here, combining Amit with Govindjee, which are both related to updating map data, improves Govindjee by providing system that protects private information not to be transmitted to unauthorized a third party (see Amit paragraph [0004]). Regarding claims 5 and 12, Amit expressly discloses wherein the one or more predetermined actions comprise one or more, or all, of: notifying the subject of the query; logging the request; and suggesting an alternative query to the user based on the query and the query patterns that the user is permitted to make (see Amit paragraphs [0098]-[0099], A Security Logic Implementor (SLI) 490 may be configured to perform a predetermined security action. In some exemplary embodiments, the Rules Enforcer 480 may be associated with one or more security action and may perform the security actions upon receipt of a request. SLI 490 may utilize a Request Blocker 492 to block certain requests, such as all requests received by Rules Enforcer 480, request containing unauthorized data, or the like. Additionally or alternatively, SLI 490 may modify a request using Request Modifier 494 and transmit the modified request to the target server. Additionally or alternatively, SLI 490 may transmit a response instead of forwarding the request to the target server, such as for exampling redirecting the client to another URL. The other URL may be an HTTPS version of the requested URL…[0099] Additionally or alternatively, SLI 490 may determine, such as based on the characteristics of the request, the content of the request, or the like, that the request is permitted and transmit it to the target server). It would have been obvious to a person of ordinary skill in art before the effective filing date of the claimed invention to incorporate the teaching of Amit into the method of Govindjee to have carry out one or more predetermined actions in response to determining that the user is not permitted to make queries matching the query pattern. Here, combining Amit with Govindjee, which are both related to updating map data, improves Govindjee by providing system that protects private information not to be transmitted to unauthorized a third party (see Amit paragraph [0004]). Remarks The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Mohan et al. (US 20190294669 A1) discloses At 320, a query is received. At 330, intent of the received query relative to a particular location in the narrative source document is determined. At 340, summaries are generated and probabilities are calculated for each of the generated summaries using an algorithm applying a model, the stored vectors and the determined intent of the query (e.g., in response to receiving the query). At 350, the generated summary(ies) are provided in response to the received query in accordance with the calculated probabilities. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to DINKU W GEBRESENBET whose telephone number is (571)270-1636. The examiner can normally be reached between 8:00AM-5:00PM. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Amy Ng can be reached on 571- 270-1698. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /DINKU W GEBRESENBET/Primary Examiner, Art Unit 2164
Read full office action

Prosecution Timeline

Sep 25, 2024
Application Filed
May 02, 2025
Non-Final Rejection — §103
Aug 06, 2025
Response Filed
Nov 13, 2025
Final Rejection — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
71%
Grant Probability
99%
With Interview (+35.1%)
3y 7m
Median Time to Grant
Moderate
PTA Risk
Based on 604 resolved cases by this examiner. Grant probability derived from career allow rate.

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