Office Action Predictor
Last updated: April 16, 2026
Application No. 18/893,768

METHOD AND SYSTEM FOR USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO CREATE OPTIMAL TREATMENT PLANS BASED ON MONETARY VALUE AMOUNT GENERATED AND/OR PATIENT OUTCOME

Non-Final OA §DP
Filed
Sep 23, 2024
Examiner
CHNG, JOY POH AI
Art Unit
3686
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Rom Technologies, INC.
OA Round
1 (Non-Final)
60%
Grant Probability
Moderate
1-2
OA Rounds
3y 5m
To Grant
83%
With Interview

Examiner Intelligence

Grants 60% of resolved cases
60%
Career Allow Rate
373 granted / 619 resolved
+8.3% vs TC avg
Strong +23% interview lift
Without
With
+23.1%
Interview Lift
resolved cases with interview
Typical timeline
3y 5m
Avg Prosecution
22 currently pending
Career history
641
Total Applications
across all art units

Statute-Specific Performance

§101
31.4%
-8.6% vs TC avg
§103
34.1%
-5.9% vs TC avg
§102
9.7%
-30.3% vs TC avg
§112
12.3%
-27.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 619 resolved cases

Office Action

§DP
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 . Status Of Claims This action is in reply to the application filed on 09/23/2024. Claims 1-20 are currently pending and have been examined. Double Patenting The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the "right to exclude" granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory obviousness-type double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Omum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); and In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321 (c) or 1.321(d) may be used to overcome an actual or provisional rejection based on a nonstatutory double patenting ground provided the conflicting application or patent either is shown to be commonly owned with this application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. Effective January 1, 1994, a registered attorney or agent of record may sign a terminal disclaimer. A terminal disclaimer signed by the assignee must fully comply with 37 CFR 3.73(b). Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-30 of U.S. Patent No. 11,295,848. Although the conflicting claims are not identical, they are not patentably distinct from each other because claims 1-20 of the instant pending application omits certain steps of claims 1-30 in the 11,295,848 patent. Therefore, claims 1-20 are prima facie obvious of claims 1-30 because it would have been obvious to omit certain steps with the motivation of providing systems/methods for generating, by artificial intelligence engine, treatment plans for optimizing patient outcome and monetary amount generated. Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-18 of U.S. Patent No. 11,515,028. Although the conflicting claims are not identical, they are not patentably distinct from each other because claims 1-20 of the instant pending application omits certain steps of claims 1-18 in the 11,515,028 patent. Therefore, claims 1-20 are prima facie obvious of claims 1-18 because it would have been obvious to omit certain steps with the motivation of providing systems/methods for generating, by artificial intelligence engine, treatment plans for optimizing patient outcome and monetary amount generated. Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-18 of U.S. Patent No. 12,100,499. Although the conflicting claims are not identical, they are not patentably distinct from each other because claims 1-20 of the instant pending application omits certain steps of claims 1-18 in the 12,100,499 patent. Therefore, claims 1-20 are prima facie obvious of claims 1-18 because it would have been obvious to omit certain steps with the motivation of providing systems/methods for generating, by artificial intelligence engine, treatment plans for optimizing patient outcome and monetary amount generated. The prior art made of record are considered pertinent to applicant's disclosure: Tuyl: U.S. Patent Application Publication U.S. 2018/0240552 A1 Moturu: U.S. Patent Application Publication U.S. 2017/0004260 A1 McRaith: U.S. Patent Application Publication U.S. 2017/0329917 A1 Pulitzer: U.S. Patent Application Publication U.S. 2020/0152339 A1 Barrett et al., Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalized care, Nov 2019, EPMA Journal 10, 445-464, httos://doi.org/10.1007/s13167-019-00188-9 Beene et al., Al and Care Delivery: Emerging Opportunities For Artificial Intelligence To Transform How Care Is Delivered, Nov 2019, American Hospital Association, Pages 1-12, https:/Avww.aha.org/system/files/media/file/2019/11/ Market_Insights_Al_Care_Delivery.pdf Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to Joy Chng whose telephone number is 571.270.7897. The examiner can normally be reached on Monday-Friday, 9:00am-5:00pm. If attempts to reach the examiner by telephone are unsuccessful, the examiner's supervisor, JASON DUNHAM can be reached on 571.272.8109. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866.217.9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /Joy Chng/ Primary Examiner, Art Unit 3686
Read full office action

Prosecution Timeline

Sep 23, 2024
Application Filed
Sep 14, 2025
Non-Final Rejection — §DP
Dec 04, 2025
Response Filed

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12573496
ADVANCED DATA TIMING IN A SURGICAL COMPUTING SYSTEM
2y 5m to grant Granted Mar 10, 2026
Patent 12555649
NOVEL PREDICTION METHOD AND GENE SIGNATURES FOR THE TREATMENT OF CANCER
2y 5m to grant Granted Feb 17, 2026
Patent 12548649
SYSTEM AND METHOD FOR AUTOMATED VOICE-BASED HEALTHCARE PLANNING USING A SUPPLEMENTAL CLINICIAN USER INTERFACE
2y 5m to grant Granted Feb 10, 2026
Patent 12548642
SYSTEMS AND METHODS FOR HEALTH IMPROVEMENT AND SYMPTOM REDUCTION
2y 5m to grant Granted Feb 10, 2026
Patent 12537088
SYSTEM AND METHOD FOR USING AI/ML AND TELEMEDICINE FOR INVASIVE SURGICAL TREATMENT TO DETERMINE A CARDIAC TREATMENT PLAN THAT USES AN ELECTROMECHANICAL MACHINE
2y 5m to grant Granted Jan 27, 2026
Study what changed to get past this examiner. Based on 5 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
60%
Grant Probability
83%
With Interview (+23.1%)
3y 5m
Median Time to Grant
Low
PTA Risk
Based on 619 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in for Full Analysis

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

Free tier: 3 strategy analyses per month