Prosecution Insights
Last updated: April 19, 2026
Application No. 19/044,946

SYSTEMS AND METHODS FOR AUTOMATED CODE CLASSIFICATION AND NATURAL LANGUAGE GENERATION

Non-Final OA §101§102
Filed
Feb 04, 2025
Examiner
NGUYEN, TRAN N
Art Unit
3685
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Decision Doc Inc.
OA Round
1 (Non-Final)
62%
Grant Probability
Moderate
1-2
OA Rounds
2y 11m
To Grant
79%
With Interview

Examiner Intelligence

Grants 62% of resolved cases
62%
Career Allow Rate
1110 granted / 1792 resolved
+9.9% vs TC avg
Strong +17% interview lift
Without
With
+16.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
25 currently pending
Career history
1817
Total Applications
across all art units

Statute-Specific Performance

§101
16.8%
-23.2% vs TC avg
§103
39.1%
-0.9% vs TC avg
§102
15.2%
-24.8% vs TC avg
§112
21.9%
-18.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1792 resolved cases

Office Action

§101 §102
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 . Priority Acknowledgment is made of Applicant's claim for priority to the following application(s): * 63549841 filed on 02/05/2024 Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claim(s) 1-20 is/are rejected under 35 U.S.C. 101 because the claimed invention is directed to abstract idea without significantly more. Claim 1 recites: A system, comprising: a processor; and a non-transitory memory storing instructions that, when executed, cause the processor to: receive a set of intake data; generate at least one support-based evidenced code based on the set of intake data; identify at least one support-based recommended action for the at least one support-based evidenced code; receive a selection of the at least one support-based recommended action; and transmit instructions to cause execution of the at least one support based recommended action. Step 1: The claim as a whole falls within at least one statutory category, i.e. a process, machine, manufacture, or composition of matter. Step 2A Prong One: The highlighted portion, as drafted, is a process that, under its broadest reasonable interpretation, falls under “Certain methods of organizing human activity” because the steps of generating medical codes and providing actions for a patient are traditionally performed by medical professionals when treating a patient, i.e. managing personal behavior or relationships or interactions between people (including social activities, teaching, and following rules or instructions). MPEP 2106.04(a)(2)(II) The highlighted portion, as drafted, is a process that, under its broadest reasonable interpretation, falls under “Mental processes”. But for a generic computer recited with a high level of generality in a post hoc manner to implement the abstract idea, the steps of generating and processing data may be performed in the human mind either mentally or with pen and paper. Accordingly, these limitations have been found to be directed towards concepts performed in the human mind (including an observation, evaluation, judgment, opinion). MPEP 2106.04(a)(2)(III) The different categories of abstract ideas are being considered together as one single abstract idea. MPEP 2106.04(II)(B) Dependent claim(s) recite(s) additional subject matter which further narrows or defines the abstract idea embodied in the claims (such as claim(s) 2-8 reciting limitations further defining the abstract idea, which may be performed in the mind but for recitation of generic computer components, and/or may be a method of managing relationship or interactions between people). Step 2A Prong Two: This judicial exception is not integrated into a practical application. In particular, the claim recites the following additional element(s), if any: a processor; and a non-transitory memory storing instructions that, when executed, cause the processor to: receive a set of intake data; receive a selection of the at least one support-based recommended action; and transmit instructions to cause execution of the at least one support based recommended action. The additional element(s) do(es) not integrate the abstract idea into a practical application, other than the abstract idea per se. Regarding the processor, the Specification as originally filed on 05 February 2024 in parent application 63549841 (hereafter referred to as “the Provisional Specification”) discloses a generic computer (page 4-5 paragraph 0020). Regarding the memory, the Provisional Specification discloses generic memory (page 7 paragraph 0027). Accordingly, these limitations amount(s) to mere instructions to apply an exception (invoking computers as a tool to perform the abstract idea). MPEP 2106.05(f)) The steps of receiving and transmitting data merely add(s) insignificant extra-solution activity to the abstract idea (mere data gathering, selecting a particular data source or type of data to be manipulated, insignificant application). MPEP 2106.05(g)) Dependent claim(s) recite(s) additional subject matter which amount to limitation(s) consistent with the additional element(s) in the independent claims (such as claim(s) 6-7 reciting an AI prompt, additional limitation(s) which add(s) insignificant extra-solution activity to the abstract idea). Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or improves any other technology. Their collective functions merely provide conventional computer implementation and do not impose a meaningful limit to integrate the abstract idea into a practical application. Accordingly, the additional elements do not integrate the judicial exception into a practical application because it does not impose any meaningful limits on practicing the abstract idea. Accordingly, the claim recites an abstract idea. Step 2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to integration of the abstract idea into a practical application, the additional elements amount to no more than mere instructions to apply an exception, add insignificant extra-solution activity to the abstract idea, and/or generally link the abstract idea to a particular technological environment or field of use. The additional elements, as discussed above and incorporated herein, amount to no more than mere instructions to apply an exception, add insignificant extra-solution activity to the abstract idea, and/or generally link the abstract idea to a particular technological environment or field of use, as discussed above and incorporated herein. Mere instructions to apply an exception, insignificant extra-solution activity, and linking to a particular technological environment using a generic computer component cannot provide an inventive concept. Regarding the step of receiving and transmitting data, these limitations amount(s) to element(s) that have been recognized as well-understood, routine, and conventional (WURC) activity in particular fields (e.g., receiving or transmitting data over a network, Symantec, MPEP 2106.05(d)(II)(i)). MPEP 2106.05(d)(II)(ii)) Dependent claims recite additional subject matter which amount to limitations consistent with the additional elements in the independent claims (such as claim(s) 6-7 reciting an AI prompt, Shope (20240404669) discloses AI prompts in a manner that is WURC (page 4 paragraph 0036). MPEP 2106.05(d)(II)(ii)) Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or improves any other technology. Their collective functions merely provide conventional computer implementation. The claim is not patent eligible. Claim(s) 9-20 recite(s) substantially similar limitations as those of claim(s) 1-8 above, and are therefore rejected for substantially similar rationale as applied above, and incorporated herein. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claim(s) 1-20 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Shope. Claim 1: Shope discloses: A system (Abstract illustrating a system), comprising: a processor (page 2 paragraph 0019); and a non-transitory memory storing instructions that, when executed, cause the processor (page 7 paragraph 0068 illustrating a memory containing instructions thereon) to: receive a set of intake data (page 2 paragraph 0020 illustrating receiving data contained on intake forms for the patient); generate at least one support-based evidenced code based on the set of intake data (Figure 2 illustrating using the patient intake form data to create a feature vector [considered to be a form of “support-based evidenced code”]); identify at least one support-based recommended action for the at least one support-based evidenced code (page 3 paragraph 0031 illustrating generating a plurality of fields); receive a selection of the at least one support-based recommended action (page 3 paragraph 0032 illustrating selecting an option for rejection or acceptance); and transmit instructions to cause execution of the at least one support based recommended action (page 3 paragraph 0032 illustrating transferring data when an option is accepted). Claim 2: Shope discloses: The system of claim 1, as discussed above and incorporated herein. Shope further discloses: wherein the at least one support-based evidenced code is generated by: generating a set of evidenced code classifications (page 5 paragraph 0046 illustrating using a classifier to process the intake data); and selecting the at least one support-based evidenced code from the set of evidenced code based on two or more dimensions of the intake data (Figure 2 illustrating using the patient intake form data to create a feature vector [considered to be a form of “dimensions”]). Claim 3: Shope discloses: The system of claim 2, as discussed above and incorporated herein. Shope further discloses: wherein the at least one support-based evidenced code is selected by a classification model that generates a confidence score, and wherein the confidence score of the at least one support-based evidenced code is above a predetermined threshold (page 1 paragraph 0017 illustrating using a confidence score to rate data fitment). Claim 4: Shope discloses: The system of claim 2, as discussed above and incorporated herein. Shope further discloses: wherein the at least one support-based evidenced code is selected by a spectrum analysis (page 8 paragraph 0072 illustrating a broad spectrum of APIs [considered to be a form of “analysis”]). Claim 5: Shope discloses: The system of claim 1, as discussed above and incorporated herein. Shope further discloses: wherein the at least one support-based evidence code is included in a support-based code structure including the at least one support-based evidence code and at least one support element (page 5 paragraph 0046 illustrating using a support vector machine to process the intake data [considered to be a form of “support element”]). Claim 6: Shope discloses: The system of claim 5, as discussed above and incorporated herein. Shope further discloses: wherein the support-based code structure includes at least one information element generated by a generative model (page 5 paragraph 0046 illustrating the use of generative AI). Claim 7: Shope discloses: The system of claim 6, as discussed above and incorporated herein. Shope further discloses: wherein the generative model receives a prompt generated from at least a portion of the set of intake data and outputs the at least one information element in response to the prompt (page 4 paragraph 0036 illustrating using a generative AI prompt to solicit data generation from the AI). Claim 8: Shope discloses: The system of claim 1, as discussed above and incorporated herein. Shope further discloses: wherein the at least one support-based recommended action is selected from a set of domain-specific available actions (page 6 paragraph 0057 illustrating generating the fields for user acceptance, and processing the fields within the manner prescribed). Claim(s) 9-20 recite(s) substantially similar limitations as those of claim(s) 1-8 above, and are therefore rejected for substantially similar rationale as applied above, and incorporated herein. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Gnanasambandam (20220391730) discloses using AI to administer a plurality of knowledge domains (Abstract) in a manner similar to those disclosed in the instant pending Specification as originally filed. Mayoras (20220101711) discloses a risk notification system used to manage a patient in a health care setting (Abstract) in a manner similar to those disclosed in the instant pending Specification as originally filed. Any inquiry concerning this communication or earlier communications from the examiner should be directed to TRAN N NGUYEN whose telephone number is (571)272-0259. The examiner can normally be reached Monday-Friday 9AM-5PM Eastern. 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 on (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. /T.N.N./ Examiner, Art Unit 3685 /KAMBIZ ABDI/Supervisory Patent Examiner, Art Unit 3685
Read full office action

Prosecution Timeline

Feb 04, 2025
Application Filed
Jan 10, 2026
Non-Final Rejection — §101, §102 (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

1-2
Expected OA Rounds
62%
Grant Probability
79%
With Interview (+16.9%)
2y 11m
Median Time to Grant
Low
PTA Risk
Based on 1792 resolved cases by this examiner. Grant probability derived from career allow rate.

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