Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Steward St Elizabeth'S Medical Center has 1 pending office action categorized under Transportation, E-Commerce & Mechanical Systems. The portfolio involves 1 distinct examiner and 1 distinct art unit. This focus suggests the current prosecution activity is limited to a specific technical application. The lack of diversity in examiners and art units means the applicant is not currently facing varied interpretations of patentability across different office groups within the 1 distinct art unit.
SHAHID R MERCHANT is the busiest examiner with 1 pending office action. Because there is only 1 distinct examiner for the 1 pending office action, the applicant's current interactions are entirely concentrated with this 1 individual. This allows for a direct and focused prosecution approach for the pending matter. Strategy should be tailored specifically to the examiner's past behavior and the specific requirements of the technical area where the work is being performed.
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 |
|---|---|---|---|
| MERCHANT, SHAHID R | 1 | 28.3% | +24.8% |
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 |
|---|---|---|---|
| 18824633 | SYSTEM AND METHOD FOR DETERMINING PREDICTED ALLOCATIONS OF RESOURCES FOR A HEALTHCARE FACILITY | MERCHANT, SHAHID R | — |
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 |
|---|---|---|---|
| 18824633 | SYSTEM AND METHOD FOR DETERMINING PREDICTED ALLOCATIONS OF RESOURCES FOR A HEALTHCARE FACILITY | MERCHANT, SHAHID R | — |
| Art Unit | Apps |
|---|---|
| 3685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18824633 | SYSTEM AND METHOD FOR DETERMINING PREDICTED ALLOCATIONS OF RESOURCES FOR A HEALTHCARE FACILITY | MERCHANT, SHAHID R | 3685 | §101§103 | Final Rejection | — | Pending | Sep 04, 2024 |
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