Prosecution Insights
Last updated: April 19, 2026
Application No. 18/906,313

AUTONOMOUS PATIENT MONITORING WITH PROMPTED EVENT DETECTION IN A TELEHEALTH SYSTEM

Non-Final OA §103
Filed
Oct 04, 2024
Examiner
PATEL, SHERYL GOPAL
Art Unit
3685
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Teladoc Health Inc.
OA Round
1 (Non-Final)
13%
Grant Probability
At Risk
1-2
OA Rounds
2y 11m
To Grant
31%
With Interview

Examiner Intelligence

Grants only 13% of cases
13%
Career Allow Rate
3 granted / 23 resolved
-39.0% vs TC avg
Strong +18% interview lift
Without
With
+18.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
34 currently pending
Career history
57
Total Applications
across all art units

Statute-Specific Performance

§101
39.7%
-0.3% vs TC avg
§103
35.6%
-4.4% vs TC avg
§102
12.7%
-27.3% vs TC avg
§112
9.7%
-30.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 23 resolved cases

Office Action

§103
DETAILED ACTION 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 § 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. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1-4, 8, 11-14, and 18 are rejected under 35 U.S.C. 103 as being unpatentable over Leipzig(US20150215753A1) in view of Chung(US20240256965A1) and Wang(US20210049387A1). Claim 1 Leipzig discloses: A method for autonomous patient monitoring in a telehealth system, the method comprising: displaying a user interface at a provider device(Figure 3, Leipzig discloses provider device user interface examples), the user interface including a care location menu(Para 0207, Leipzig discloses medical provider contacts), a video window(Figure 1, Leipzig discloses a video window), (Para 0207, Leipzig discloses contacts including urgent call centers); receiving a selection of at least one care location from a user via a user input device(Para 0260, Leipzig discloses menu list selection); displaying video received from a camera installed at the selected care location in the video window(Figure 1, Leipzig discloses displaying a video from a camera at a potential care site); receiving a prompt(Para 0130 Leipzig discloses prompt)(Para 0266, Leipzig discloses event information and actions to be taken); communicating an application programmer interface (API) call(Para 0179, Leipzig discloses an API) to a via an MMLLM interface(Figure 7, Leipzig discloses an intelligent event notification engine, which can be an MMLLM interface), the API call including an instruction to notify a response handler(Para 0261, Leipzig discloses an event notification engine which sends notifications to 911, urgent response centers, or authorized users) when the (Para 0261, Leipzig discloses an event notification engine which sends notifications to 911, urgent response centers, or authorized users); and performing the action included in the prompt. Leipzig does not explicitly disclose: prompt editor receiving a prompt via the prompt editor, the prompt comprising a text string multi-media large language model (MMLLM) event is detected in the video received Chung discloses: prompt editor(Para 0214, Chung discloses prompt engineering tools) the prompt comprising a text string(Para 0049, Chung discloses string-based inputs) multi-media large language model (MMLLM)(Para 0178, Chung discloses large language model) Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified the remote care and monitoring system of Leipzig to add prompt editor, a prompt comprising a text string, and large language model, as taught by Chung. One of ordinary skill would have been so motivated to provide a means to simplify the intermediary processes of telehealth, but in this case, for fine-tuning machine learned models using intermediate steps (Para 0003, Chung discloses: “The computer can update parameters of the model based on the feedback to improve its performance. In this manner, the computer can iteratively “learn” to generate the desired outputs, which when utilized in healthcare settings, can potentially improve patient outcomes”). Chung does not explicitly disclose: event is detected in the video received Wang discloses: event is detected in the video received from the care location(Para 0233, Wang discloses event detection from video) Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified the remote care and monitoring system of Leipzig to add event detection in video, as taught by Wang. One of ordinary skill would have been so motivated to provide a means to identify pertinent events in a video to detect potential emergencies or non-adherence to a care plan, but in this case, for a system which monitors driving state (Para 0004, Wang discloses: “A poor driving state of the driver may lead to a decline in judgment ability, or even mind wandering or transient memory loss, resulting in unsafe factors such as delayed or premature driving action, unscheduled operation or improper correction time, and thus, road traffic accidents are very likely to occur.”). Claim 2 Leipzig discloses: The method of claim 1, wherein the action includes transmitting an alert to a user device(Para 0113, Leipzig discloses mobile application alerts). Claim 3 Leipzig discloses: The method of claim 2, wherein the alert is transmitted to the user device using a short message service (SMS)(Para 0140, Leipzig discloses SMS). Claim 4 Leipzig discloses: The method of claim 2, wherein the alert transmitted to the user includes a description of the event(Para 0266, Leipzig discloses an alert that may contain event information) and the care location where the event was detected(Para 0219, Leipzig discloses location alert). Claim 8 Leipzig discloses: The method of claim 1, wherein the user interface includes an event history window that displays a list of timestamped events detected in the video(Para 0035, Leipzig discloses logging timestamp video/images) received from the care location history of alerts(Para 0187, Leipzig discloses timestamped video snippet history). Claim 11 Claim 11 recites similar limitations as claim 1. See claim 1 analysis. Claim 12 Claim 12 recites similar limitations as claim 2. See claim 2 analysis. Claim 13 Claim 13 recites similar limitations as claim 3. See claim 3 analysis. Claim 14 Claim 14 recites similar limitations as claim 4. See claim 4 analysis. Claim 18 Claim 18 recites similar limitations as claim 8. See claim 8 analysis. Subject Matter Free of Prior Art The following is a statement of reasons for the subject matter free of prior art: Claims 5-7, 9-10, 15-17, and 19-20 distinguish over the prior art for the following reasons. Claim 5 : The method of claim 1, wherein the prompt editor displays a list of events and a list of actions and receiving the prompt includes receiving a selection of at least one event and at least one action from a user via the user input device. Claim 6: The method of claim 1, wherein the event includes a patient getting out of bed. Claim 7: The method of claim 1, wherein the event includes a patient’s blood pressure exceeding a specified threshold. Claim 9: The method of claim 1, wherein the prompt editor displays a notification when an element included in the prompt cannot be identified in the video received from the care location. Claim 10: The method of claim 1, wherein the prompt includes a plurality of events and a corresponding plurality of actions to be performed when each respective event is detected. The recited limitations indicate the reason for subject matter free of prior art. The closest available prior art of record as follows: • Leipzig(US20150215753A1) discloses a system for remote care and monitoring using a mobile device, but does not fairly disclose or suggest the aforementioned configuration for the claimed invention. • Greer(US20050200486A1) discloses a patient visual monitoring system, but does not fairly disclose or suggest the aforementioned configuration for the claimed invention. • Eaton(US10706284B2) discloses a semantic representation module of a machine learning engine in a video analysis system, but does not fairly disclose or suggest the aforementioned configuration for the claimed invention. Based on the evidence presented above, none of the closest available prior art of record fairly discloses or suggests the claimed invention. For this reason, claims 5-7, 9-10, 15-17, and 19-20 would be found to be subject matter free of prior art. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Greer(US20050200486A1) discloses a patient visual monitoring system. Some disclosures for this invention are similar to that of this instant pending application. Muhsin(US20230329649A1) discloses a patient position detection system. Some disclosures for this invention are similar to that of this instant pending application. Any inquiry concerning this communication or earlier communications from the examiner should be directed to SHERYL GOPAL PATEL whose telephone number is (703)756-1990. The examiner can normally be reached Monday - Friday 5:30am to 2:30pm PST. 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, Kambiz Abdi can be reached at 571-272-6702. 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. /S.G.P./Examiner, Art Unit 3685 /KAMBIZ ABDI/Supervisory Patent Examiner, Art Unit 3685
Read full office action

Prosecution Timeline

Oct 04, 2024
Application Filed
Jan 26, 2026
Non-Final Rejection — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12597525
HEALTHCARE SYSTEM FOR PROVIDING MEDICAL INSIGHTS
2y 5m to grant Granted Apr 07, 2026
Patent 12580055
MEDICAL LABORATORY COMPUTER SYSTEM
2y 5m to grant Granted Mar 17, 2026
Study what changed to get past this examiner. Based on 2 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
13%
Grant Probability
31%
With Interview (+18.3%)
2y 11m
Median Time to Grant
Low
PTA Risk
Based on 23 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month