Prosecution Insights
Last updated: October 01, 2026
Application No. 18/289,609

SYSTEMS AND METHODS FOR CLINICAL WORKSPACE SIMULATION

Non-Final OA §102
Filed
Nov 06, 2023
Priority
Jun 04, 2021 — provisional 63/196,997 +1 more
Examiner
CALLE, ANGEL JAVIER
Art Unit
Tech Center
Assignee
Covidien L.P.
OA Round
1 (Non-Final)
70%
Grant Probability
Favorable
1-2
OA Rounds
1y 4m
Est. Remaining
97%
With Interview

Examiner Intelligence

Grants 70% — above average
70%
Career Allowance Rate
133 granted / 191 resolved
+9.6% vs TC avg
Strong +28% interview lift
Without
With
+27.7%
Interview Lift
resolved cases with interview
Typical timeline
4y 3m
Avg Prosecution
25 currently pending
Career history
209
Total Applications
across all art units

Statute-Specific Performance

§101
17.2%
-22.8% vs TC avg
§103
36.9%
-3.1% vs TC avg
§102
23.1%
-16.9% vs TC avg
§112
20.8%
-19.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 191 resolved cases

Office Action

§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 . This Office Action is in response to claims filed on 11/06/2023. Claims 1-11 are pending. Information Disclosure Statement The information disclosure statement (IDS) submitted on 11/06/2023, 02/19/2026 and 05/15/2026 are being considered by the examiner. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. 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. Claims 1-11 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Muller-Daniels et al. US 2009/0017430 A1, Published: Jan. 15, 2009, (hereafter Muller-Daniels). Regarding claim 1. Muller-Daniels teaches a computer-implemented method for clinical workplace simulation (Par 13, virtual operating space, simulates a three-dimensional reality) (Par 30, virtual operating space, virtual operating room, virtual object, feature selection window), the method comprising: receiving a first input from a user indicating an area for a virtual operating room (Fig 7, visibility selection, table); receiving a second input from the user selecting at least one virtual object (Fig 10, click instrument); rendering the virtual operating room based on the received input indicating the area for the virtual operating room (Par 48, selectable features, Table button 348, activate to appear or disappear); rendering the at least one virtual object relative to a virtual surgical table in the virtual operating room (Par 32, virtual object selection) (Par 44, proper selection, user can manipulate the instrument); and displaying on a display the rendered virtual operating room and the at least one virtual object relative to a virtual surgical table in the virtual operating room (Par 48, interacting with the virtual operating space) (Fig 10-14, display the selected features of the virtual environment). Regarding claim 2. Muller-Daniels teaches the computer-implemented method of claim 1, wherein the virtual object includes at least one of a virtual robotic arm, a virtual surgical tower, or a virtual surgical console (Fig 3, Click instrument) (Par 31, C-arm). Regarding claim 3. Muller-Daniels teaches the computer-implemented method of claim 1, wherein the display includes a display of at least one of a mobile device, a computer, or a virtual reality headset (Par 30, computer display) (Claim 8, output display devices). Regarding claim 4. Muller-Daniels teaches the computer-implemented method of claim 1, wherein the displayed virtual operating room includes a viewpoint (Par 38, perspective of a surgeon), wherein a viewpoint includes at least one of a perspective or a zoom level (Par 39, virtual camera in the virtual room, from top perspective) (Par 42, perform zoom functions). Regarding claim 5. Muller-Daniels teaches the computer-implemented method of claim 4, further comprising: receiving a third input indicating a change in the viewpoint (Par 39, FREE CAM button allows it to change the angle of view from different perspective, Fig 3 – view from top perspective); and displaying the changed viewpoint (Par 39, screen shot of Fig 3, shows a view of the operating room from the top perspective). Regarding claim 6. Muller-Daniels teaches the computer-implemented method of claim 1, further comprising: receiving a fourth input for interacting with the virtual object (Par 50, user is provided with an interactive training experience) (Par 44, user can manipulate the instrument). Regarding claim 7. Muller-Daniels teaches the computer-implemented method of claim 6, further comprising: displaying a text window, indicating information relating to the virtual object (Fig 4, wrong instrument) (Par 43, improper selection, alerts the user with a prompt). Regarding claim 8. Muller-Daniels teaches the computer-implemented method of claim 6, further comprising: displaying an animation of the virtual object (Par 47, animated representations including audio and video output). Regarding claim 9. Muller-Daniels teaches the computer-implemented method of claim 1, further comprising: generating a virtual patient including a simulated patient habitus based on at least one of a fifth input or a patient medical record (Par 49, PATIENT button, make the virtual patient) (Par 6, virtual patient, virtual bone forming part of the virtual patient, thus having patient record). Regarding claim 10. Muller-Daniels teaches the computer-implemented method of claim 1, further comprising: receiving a sixth input placing the at least one virtual object at a virtual object placement location (Par 39, virtual camera position allows the user to select views from different angles) (Par 44, selects instrument and advances the instrument towards the femur bone); and rendering the at least one virtual object at the virtual object placement location (Par 39, view of the operating room from the top perspective) (Par 44, provides feedback as the instrument advances). Regarding claim 11. Muller-Daniels teaches the computer-implemented method of claim 10, further comprising: receiving an indicated anatomy of the virtual patient (Par 48, FEMUR button) (Par 49, patient femur bone transparent), wherein the virtual object placement location is further based on targeting the indicated anatomy (Par 44, selects instrument and advances the instrument towards the femur bone). Conclusion The prior art made of record, listed on PTO-892, and not relied upon is considered pertinent to applicant's disclosure. Johnson Eric Mark, KR 20200012926 A, discloses a virtual reality system that implements a virtual robot on virtual surgical environment and a handheld device communicatively coupled to the virtual reality for manipulation of the virtual robot. Dorota Kaminska, NPL, “Virtual Reality and Its Applications in Education: Survey”, discloses a virtual reality environment application for teaching. Further discloses a health-related education using Virtual reality. Eric Mark Johnson, US 11,013,559 B2, discloses a virtual robotic surgical environment for simulating robotic in which user can operate both robotically controlled surgical instrument using handheld controller and manual laparoscopic surgical instrument. Bernhard Fuerst, US 11,166,767 B1, discloses a virtual surgical robot having a user input to effect movement. Haoran Yu, US 11,270,601 B2, discloses a virtual surgical system having a virtual robotic component for user to input commands to move the virtual robotic component. Any inquiry concerning this communication or earlier communications from the examiner should be directed to ANGEL JAVIER CALLE whose telephone number is (571)272-0463. The examiner can normally be reached Monday - Friday 7:30 a.m. - 5 p.m.. 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, Rehana Perveen can be reached at (571)-272-3676. 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. /A.C./ Examiner, Art Unit 2189 /REHANA PERVEEN/ Supervisory Patent Examiner, Art Unit 2189
Read full office action

Prosecution Timeline

Nov 06, 2023
Application Filed
Sep 14, 2026
Non-Final Rejection mailed — §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12737511
MATERIAL EXTRUSION DETECTION METHOD
4y 3m to grant Granted Sep 15, 2026
Patent 12682138
ADHESION PREDICTION METHOD, ADHESION PREDICTION PROGRAM, AND ADHESION PREDICTION DEVICE
4y 9m to grant Granted Jul 14, 2026
Patent 12682139
ADAPTIVE DESIGN AND OPTIMIZATION USING PHYSICS-INFORMED NEURAL NETWORKS
3y 11m to grant Granted Jul 14, 2026
Patent 12664337
MACHINE LEARNING-BASED SELECTIVE INCARNATION OF COMPUTER-AIDED DESIGN OBJECTS
4y 1m to grant Granted Jun 23, 2026
Patent 12655745
PREDICTION BASED PUMP-OFF DETECTION
4y 6m to grant Granted Jun 16, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
70%
Grant Probability
97%
With Interview (+27.7%)
4y 3m (~1y 4m remaining)
Median Time to Grant
Low
PTA Risk
Based on 191 resolved cases by this examiner. Grant probability derived from career allowance 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