Prosecution Insights
Prosecution Insights
Technology area: Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Hungkuang University has a patent portfolio in the Medical Devices & Mechanical Engineering technology area. The portfolio currently has 2 pending office actions. These actions are distributed across 2 distinct examiners and 2 distinct art units. This distribution indicates that the company's current prosecution is spread across multiple specialized sections of the patent office.
The busiest examiner for the company is SAPKOTA, SURAJ. This examiner is handling 1 busiest examiner pending office action. This specific action is one of the 2 total pending office actions for the company. SAPKOTA, SURAJ is one of the individuals reviewing the company's Medical Devices & Mechanical Engineering applications.
The 2 pending office actions are assigned to the distinct examiners and the distinct art units. SAPKOTA, SURAJ is the busiest examiner with the busiest examiner pending office action. This distribution indicates that the company's prosecution is spread, with each of the pending office actions being handled by a different examiner in a different art unit. Practitioners should be prepared for unique examiner perspectives and art unit requirements for each pending matter.
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 |
|---|---|
| §103 only | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| SAPKOTA, SURAJ | 1 | 0.0% | +0.0% |
| EISEMAN, ADAM JARED | 1 | 55.1% | +27.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18476811 | EARLY DEMENTIA RISK ASSESSMENT DEVICE | EISEMAN, ADAM JARED | 20d |
| 18391648 | METHOD FOR IMPROVING DIABETIC WOUND HEALING USING MIR-200B | SAPKOTA, SURAJ | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18476811 | EARLY DEMENTIA RISK ASSESSMENT DEVICE | EISEMAN, ADAM JARED | 20d |
| Art Unit | Apps |
|---|---|
| 4100 | 1 |
| 3791 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18391648 | METHOD FOR IMPROVING DIABETIC WOUND HEALING USING MIR-200B | SAPKOTA, SURAJ | 4100 | §103 | Non-Final OA | — | Pending | Dec 20, 2023 |
| 18476811 | EARLY DEMENTIA RISK ASSESSMENT DEVICE | EISEMAN, ADAM JARED | 3791 | §103§112 | Final Rejection | 20d | Pending | Sep 28, 2023 |
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