Prosecution Insights
Prosecution Insights
Technology area: Medical Devices & Mechanical Engineering
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
The First Affiliated Hospital Of Xiamen University has 1 pending office action in the Medical Devices & Mechanical Engineering technology area. This case is assigned to examiner HAFIZ, HAMID TARIQ, who is the busiest examiner for the portfolio with 1 pending matter. The prosecution is limited to 1 distinct examiner and 1 distinct art unit. This suggests a highly specific technological focus for the hospital's current patent efforts.
Success depends on a targeted response to the specific examiner's findings. Because there is only 1 distinct examiner involved, the hospital's immediate patent outcomes depend entirely on the individual discretion of HAFIZ, HAMID TARIQ. This lack of examiner diversity means the prosecution strategy must be precisely tailored to the specific requirements of the assigned art unit. The presence of only 1 distinct art unit suggests that the research and development in this area is highly specialized. Practitioners should focus on addressing the technical nuances identified by the examiner to advance the application.
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 | 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 |
|---|---|---|---|
| HAFIZ, HAMID TARIQ | 1 | 0.0% | +0.0% |
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 |
|---|---|---|---|
| 18618219 | RISK PREDICTION METHOD AND DEVICE OF PREGNANT WOMEN SUFFERING FROM GESTATIONAL DIABETES MELLITUS BASED ON MACHINE LEARNING | HAFIZ, HAMID TARIQ | 13d |
| Art Unit | Apps |
|---|---|
| 3715 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18618219 | RISK PREDICTION METHOD AND DEVICE OF PREGNANT WOMEN SUFFERING FROM GESTATIONAL DIABETES MELLITUS BASED ON MACHINE LEARNING | HAFIZ, HAMID TARIQ | 3715 | §101§103 | Non-Final OA | 13d | Pending | Mar 27, 2024 |
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