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 • 1 patents granted in the last 365 days
AndorHealth, LLC operates in the Transportation, E-Commerce & Mechanical Systems technology area, where it has 2 pending office actions. These actions are distributed across 2 distinct examiners and 2 distinct art units. EVANS, ASHLEY ELIZABETH is the busiest examiner for the company, currently handling 1 pending office action.
The distribution of 2 pending office actions across 2 distinct art units suggests that the company's portfolio covers different subject matter within the Transportation, E-Commerce & Mechanical Systems field. Each of the 2 distinct examiners is responsible for 1 pending office action, with EVANS, ASHLEY ELIZABETH managing 1 action. This structure indicates that the company is interacting with multiple different sections of the patent office simultaneously, even with a small number of pending actions. For practitioners, this means that prosecution strategies must be tailored to the specific requirements of 2 different art units. The lack of concentration in a single unit suggests that the company's technology spans multiple functional areas within the USPTO's classification system.
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 | 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 |
|---|---|---|---|
| EVANS, ASHLEY ELIZABETH | 1 | 17.2% | +39.1% |
| HUYNH, EMILY | 1 | 21.9% | +43.6% |
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 |
|---|---|---|---|
| 18726202 | AUTOMATED, SELF-SERVICE CLINICAL TRIAGING AND MEDICAL APPOINTMENT SERVICE TYPE SELECTION | EVANS, ASHLEY ELIZABETH | 33d |
| 17685088 | TELEHEALTH SYSTEMS | HUYNH, EMILY | — |
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 |
|---|---|---|---|
| 18726202 | AUTOMATED, SELF-SERVICE CLINICAL TRIAGING AND MEDICAL APPOINTMENT SERVICE TYPE SELECTION | EVANS, ASHLEY ELIZABETH | 33d |
| 17685088 | TELEHEALTH SYSTEMS | HUYNH, EMILY | — |
| Art Unit | Apps |
|---|---|
| 3687 | 1 |
| 3683 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18726202 | AUTOMATED, SELF-SERVICE CLINICAL TRIAGING AND MEDICAL APPOINTMENT SERVICE TYPE SELECTION | EVANS, ASHLEY ELIZABETH | 3687 | §101§102 | Non-Final OA | 33d | Pending | Jul 02, 2024 |
| 17685088 | TELEHEALTH SYSTEMS | HUYNH, EMILY | 3683 | §101§102 | Non-Final OA | — | Pending | Mar 02, 2022 |
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