Prosecution Insights
Prosecution Insights
1 pending office actions • 0 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Tangshan People'S Hospital has 1 pending office action currently under review. This matter is being handled by 1 distinct examiner. The concentration of the portfolio in a single action indicates a limited but active presence in the patent system. This focused activity requires direct engagement with the assigned personnel.
SIMS, JASON M is the busiest examiner for this entity, with 1 pending office action assigned. Because this examiner is responsible for the only 1 pending office action in the portfolio, the outcome of this specific case will determine the immediate success of the hospital's current prosecution strategy. Practitioners should focus on the specific examiner's history to advance this case.
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 | 1 (100%) |
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 |
|---|---|---|---|
| SIMS, JASON M | 1 | 44.4% | +21.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18217921 | CONSTRUCTION METHOD OF RISK PREDICTION MODEL FOR PROGNOSIS OF GASTRIC CANCER | SIMS, JASON M | — |
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 |
|---|---|---|---|
| 18217921 | CONSTRUCTION METHOD OF RISK PREDICTION MODEL FOR PROGNOSIS OF GASTRIC CANCER | SIMS, JASON M | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18217921 | CONSTRUCTION METHOD OF RISK PREDICTION MODEL FOR PROGNOSIS OF GASTRIC CANCER | SIMS, JASON M | — | §101§112 | Non-Final OA | — | Pending | Jul 03, 2023 |
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