Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 3 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Janssen Research & Development LLC is active in the Transportation, E-Commerce & Mechanical Systems technology area. The company currently has 5 pending office actions. These actions are distributed among 4 distinct examiners and are being reviewed across 3 distinct art units. This distribution indicates that the company's prosecution is spread across multiple individuals and technical groups, reflecting a broad range of mechanical or system-based innovations.
MARTIN ADAM RADOMSKI is the busiest examiner for the portfolio, currently overseeing 2 pending office actions. With 4 distinct examiners involved, the company's 5 pending office actions are subject to various perspectives, though the 3 distinct art units suggest some level of technical concentration. This structure implies that while the company faces 5 pending office actions, it only needs to coordinate with 4 distinct examiners. The concentration of 2 pending office actions under MARTIN ADAM RADOMSKI may allow for a more efficient resolution of those specific matters within the larger portfolio.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 2 (40%) |
| Multi-statute (no §101) | 3 (60%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| RADOMSKI, MARTIN ADAM | 2 | 32.3% | +55.7% |
| VAN DUZER, ALEXIS KIM | 1 | 37.5% | +46.7% |
| PEACH, POLINA G | 1 | 50.4% | +23.3% |
| MAHROUKA, WASSIM | 1 | 86.1% | +7.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18752571 | PLATFORM FOR MANAGING CONTEXTUAL AVAILABILITY OF ELECTRONIC HEALTH DATA | VAN DUZER, ALEXIS KIM | 60d overdue |
| 18706585 | LIGHT-BASED VISUAL CUEING OF MEDICATION DELIVERY INSTRUCTIONS | RADOMSKI, MARTIN ADAM | — |
| 18706593 | LIGHT-BASED VISUAL CUES THAT ASSIST IN MEDICATION DELIVERY TO A PATIENT | RADOMSKI, MARTIN ADAM | — |
| 18644896 | CELL MANUFACTURING MANAGEMENT PLATFORM USING MACHINE LEARNING | PEACH, POLINA G | — |
| 18693084 | Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos USING ORDINAL MULTI-INSTANCE LEARNING | MAHROUKA, WASSIM | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18752571 | PLATFORM FOR MANAGING CONTEXTUAL AVAILABILITY OF ELECTRONIC HEALTH DATA | VAN DUZER, ALEXIS KIM | 60d overdue |
| 18706585 | LIGHT-BASED VISUAL CUEING OF MEDICATION DELIVERY INSTRUCTIONS | RADOMSKI, MARTIN ADAM | — |
| 18706593 | LIGHT-BASED VISUAL CUES THAT ASSIST IN MEDICATION DELIVERY TO A PATIENT | RADOMSKI, MARTIN ADAM | — |
| 18644896 | CELL MANUFACTURING MANAGEMENT PLATFORM USING MACHINE LEARNING | PEACH, POLINA G | — |
| Art Unit | Apps |
|---|---|
| 3681 | 1 |
| 4100 | 1 |
| 2665 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18752571 | PLATFORM FOR MANAGING CONTEXTUAL AVAILABILITY OF ELECTRONIC HEALTH DATA | VAN DUZER, ALEXIS KIM | 3681 | §101§102§103 | Non-Final OA | 60d overdue | Pending | Jun 24, 2024 |
| 18706585 | LIGHT-BASED VISUAL CUEING OF MEDICATION DELIVERY INSTRUCTIONS | RADOMSKI, MARTIN ADAM | — | §102§103§112 | Non-Final OA | — | Pending | May 01, 2024 |
| 18706593 | LIGHT-BASED VISUAL CUES THAT ASSIST IN MEDICATION DELIVERY TO A PATIENT | RADOMSKI, MARTIN ADAM | — | §102§103 | Non-Final OA | — | Pending | May 01, 2024 |
| 18644896 | CELL MANUFACTURING MANAGEMENT PLATFORM USING MACHINE LEARNING | PEACH, POLINA G | 4100 | §101§103 | Non-Final OA | — | Pending | Apr 24, 2024 |
| 18693084 | Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos USING ORDINAL MULTI-INSTANCE LEARNING | MAHROUKA, WASSIM | 2665 | §102§103 | Non-Final OA | — | Pending | Mar 18, 2024 |
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