Prosecution Insights
Prosecution Insights
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 | 2 (67%) |
| §102 only | 1 (33%) |
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 |
|---|---|---|---|
| ILAGAN, VINCENT CAESAR | 1 | 41.7% | +63.6% |
| REICHERT, RACHELLE LEIGH | 1 | 30.3% | +34.0% |
| COBANOGLU, DILEK B | 1 | 33.1% | +28.0% |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18889849 | METHOD AND SYSTEM FOR CREATING BAYESIAN KNOWLEDGE NETWORKS (BKNS) FOR MEDICAL CONDITIONS | COBANOGLU, DILEK B | 8d overdue |
| 18956098 | METHOD AND SYSTEM FOR MONITORING PATIENT ABNORMALITIES AND GENERATING RECOMMENDATIONS | REICHERT, RACHELLE LEIGH | 15d |
| 19091964 | METHOD AND TOOL FOR ASSISTING CLINICIANS IN MAKING REAL-TIME DECISIONS FOR NEONATAL SHOCK SYNDROMES | ILAGAN, VINCENT CAESAR | 79d |
| Art Unit | Apps |
|---|---|
| 3686 | 2 |
| 3687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19091964 | METHOD AND TOOL FOR ASSISTING CLINICIANS IN MAKING REAL-TIME DECISIONS FOR NEONATAL SHOCK SYNDROMES | ILAGAN, VINCENT CAESAR | 3686 | §103 | Non-Final OA | 79d | Pending | Mar 27, 2025 |
| 18956098 | METHOD AND SYSTEM FOR MONITORING PATIENT ABNORMALITIES AND GENERATING RECOMMENDATIONS | REICHERT, RACHELLE LEIGH | 3686 | §103 | Final Rejection | 15d | Pending | Nov 22, 2024 |
| 18889849 | METHOD AND SYSTEM FOR CREATING BAYESIAN KNOWLEDGE NETWORKS (BKNS) FOR MEDICAL CONDITIONS | COBANOGLU, DILEK B | 3687 | §102 | Non-Final OA | 8d overdue | Pending | Sep 19, 2024 |
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