Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Drfirst Com Inc. currently has 2 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. The company's prosecution is split between 2 distinct examiners and 2 distinct art units, reflecting a decentralized approach across different technical specialties. This distribution across the 2 distinct art units suggests that even with a small number of cases, the company is pursuing innovations that the patent office classifies into separate categories within the sector.
The busiest examiner, PORTER, RACHEL L, is responsible for 1 busiest examiner pending action. With 2 pending office actions total and 2 distinct examiners involved, the workload is distributed across the assigned individuals. This balance means that the company's prosecution success is dependent on the decisions of different individuals. For the practitioner, this requires monitoring separate sets of examiner behaviors and art unit trends, as there is no overlap between the 2 distinct examiners or the 2 distinct art units currently handling the portfolio.
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 | 2 (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 |
|---|---|---|---|
| PORTER, RACHEL L | 1 | 21.2% | +23.9% |
| HOLCOMB, MARK | 1 | 33.5% | +40.4% |
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 |
|---|---|---|---|
| 18972457 | METHODS AND SYSTEMS FOR DETECTING PRESCRIPTION ANOMALIES IN REAL TIME | PORTER, RACHEL L | — |
| 18962940 | METHOD AND SYSTEM FOR INTELLIGENT COMPLETION OF MEDICAL RECORD BASED ON BIG DATA ANALYTICS | HOLCOMB, MARK | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18972457 | METHODS AND SYSTEMS FOR DETECTING PRESCRIPTION ANOMALIES IN REAL TIME | PORTER, RACHEL L | — |
| 18962940 | METHOD AND SYSTEM FOR INTELLIGENT COMPLETION OF MEDICAL RECORD BASED ON BIG DATA ANALYTICS | HOLCOMB, MARK | — |
| Art Unit | Apps |
|---|---|
| 3684 | 1 |
| 3685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18972457 | METHODS AND SYSTEMS FOR DETECTING PRESCRIPTION ANOMALIES IN REAL TIME | PORTER, RACHEL L | 3684 | §101§102§103 | Non-Final OA | — | Pending | Dec 06, 2024 |
| 18962940 | METHOD AND SYSTEM FOR INTELLIGENT COMPLETION OF MEDICAL RECORD BASED ON BIG DATA ANALYTICS | HOLCOMB, MARK | 3685 | §101§103Other | Final Rejection | — | Pending | Nov 27, 2024 |
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