Technology area: Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Helix Virtual Medicine Inc. is managing 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 3 actions are distributed among 3 distinct examiners, showing a lack of concentration at the examiner level. Furthermore, the prosecution is spread across 3 distinct art units, indicating that each pending action is being handled in a different technological environment. This distribution suggests that the company is pursuing multiple independent patenting paths within the Transportation, E-Commerce & Mechanical Systems sector.
EZEWOKO, MICHAEL I is identified as the busiest examiner, although this examiner only holds a busiest_examiner_pending count of 1. This means that each of the 3 pending office actions is assigned to a different examiner. The distribution across 3 distinct art units and examiners suggests that Helix Virtual Medicine Inc. is pursuing multiple independent patenting paths. For practitioners, this means that the success of the portfolio is not tied to a single individual, but rather depends on managing 3 distinct examiner relationships across 3 distinct art units.
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 | 3 (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 |
|---|---|---|---|
| EZEWOKO, MICHAEL I | 1 | 61.5% | +51.2% |
| ROBINSON, KYLE G | 1 | 11.7% | +16.6% |
| WASEEM, HUMA | 1 | 17.7% | +20.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18497709 | ARTIFICIAL INTELLIGENCE SYSTEM FOR FACILITATING PHYSICIAN ASSESSMENT | ROBINSON, KYLE G | 70d |
| 18508073 | ARTIFICIAL INTELLIGENCE SYSTEM FOR FACILITATING ROUTING TO A PROVIDER | EZEWOKO, MICHAEL I | — |
| 18381103 | ARTIFICIAL INTELLIGENCE SYSTEM FOR PROVIDING AUTOMATED CASE MANAGEMENT AND REPORTING | WASEEM, HUMA | — |
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 |
|---|---|---|---|
| 18497709 | ARTIFICIAL INTELLIGENCE SYSTEM FOR FACILITATING PHYSICIAN ASSESSMENT | ROBINSON, KYLE G | 70d |
| 18508073 | ARTIFICIAL INTELLIGENCE SYSTEM FOR FACILITATING ROUTING TO A PROVIDER | EZEWOKO, MICHAEL I | — |
| 18381103 | ARTIFICIAL INTELLIGENCE SYSTEM FOR PROVIDING AUTOMATED CASE MANAGEMENT AND REPORTING | WASEEM, HUMA | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 3685 | 1 |
| 3686 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18508073 | ARTIFICIAL INTELLIGENCE SYSTEM FOR FACILITATING ROUTING TO A PROVIDER | EZEWOKO, MICHAEL I | 3682 | §101§103 | Final Rejection | — | Pending | Nov 13, 2023 |
| 18497709 | ARTIFICIAL INTELLIGENCE SYSTEM FOR FACILITATING PHYSICIAN ASSESSMENT | ROBINSON, KYLE G | 3685 | §101§102§103§112 | Non-Final OA | 70d | Pending | Oct 30, 2023 |
| 18381103 | ARTIFICIAL INTELLIGENCE SYSTEM FOR PROVIDING AUTOMATED CASE MANAGEMENT AND REPORTING | WASEEM, HUMA | 3686 | §101§103 | Non-Final OA | — | Pending | Oct 17, 2023 |
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