Prosecution Insights
Last updated: October 02, 2026

Examiner: ILAGAN, VINCENT CAESAR

Tech Center 3600 • Art Units: 3683 3686

This examiner grants 45% of resolved cases

Analysis

Vincent Caesar Ilagan works in Art Unit 3683 within Tech Center 3600 and has overseen 20 resolved cases. His allowance rate is 45.0 percent, which is the primary metric for success in his docket. The median days to allowance for these cases is 967, providing a specific timeframe for the prosecution lifecycle under his review. This 967 median days to allowance serves as a benchmark for planning responses in Tech Center 3600.

A notable data point is the 73.3 percent interview lift, which suggests a correlation between conducting interviews and achieving an allowance. This 73.3 percent lift is a significant increase when compared to the 45.0 percent base allowance rate. With 20 resolved cases, the examiner's trends are established but may evolve as the case count increases. The 73.3 percent lift suggests that direct engagement is a strategy for applicants who find themselves in Art Unit 3683. The 20 resolved cases provide a preliminary look at his examination style.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

45.0%
Allow Rate
-7.0% vs TC avg
47
Total Applications
+73.3%
Interview Lift
967
Avg Prosecution Days
Based on 20 resolved cases, 2023–2026

Rejection Statute Breakdown

35.9%
§101 Eligibility
8.1%
§102 Novelty
46.6%
§103 Obviousness
6.3%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18023091 SYSTEMS AND METHODS FOR DETERMINING A MASK RECOMMENDATION Final Rejection ResMed Pty Ltd
17715424 METHOD AND SYSTEM FOR TELEMEDICINE RESOURCE DEPLOYMENT TO OPTIMIZE COHORT-BASED PATIENT HEALTH OUTCOMES IN RESOURCE-CONSTRAINED ENVIRONMENTS Final Rejection ROM TECHNOLOGIES, INC.
18876685 SYSTEMS AND METHODS FOR PREDICTING AN IMAGE ACQUISITION COMPLEXITY OF AN IMAGING EXAMINATION Final Rejection KONINKLIJKE PHILIPS N.V.
19057629 SYSTEMS AND METHODS FOR PERFORMING MEDICAL TASKS USING A MEDICAL ARTIFICIAL INTELLIGENCE SYSTEM Non-Final OA President and Fellows of Harvard College

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