Technology area: Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
Clover Health manages 4 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are spread across 4 distinct art units, indicating that each case involves a different technical specialty. The company works with 4 distinct examiners, so no two cases are being reviewed by the same person.
RAPILLO, KRISTINE K is the busiest examiner, holding 1 pending action. Because there are 4 pending office actions and a matching number of distinct examiners, each examiner is responsible for exactly one case. This distribution prevents any consolidation of prosecution efforts with a single examiner.
Practitioners must navigate 4 distinct art units, each likely having its own interpretation of transportation and e-commerce standards. With 4 distinct examiners involved, the outcome of each of the 4 pending office actions will depend on individual examiner discretion. The lack of examiner overlap means that successful arguments in one case may not be easily transferred to the others, and RAPILLO, KRISTINE K will only influence a single matter.
Based on the USPTO statutory response window for each pending office action. 2 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 only | 1 (25%) |
| §101 + other | 3 (75%) |
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 |
|---|---|---|---|
| RAPILLO, KRISTINE K | 1 | 28.8% | +26.9% |
| WILLIAMS, TERESA S | 1 | 25.1% | +17.2% |
| SIOZOPOULOS, CONSTANTINE B | 1 | 57.5% | +39.6% |
| HIGGS, STELLA EUN | 1 | 39.1% | +34.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16912483 | OFFICE ASSISTANT TOOL | SIOZOPOULOS, CONSTANTINE B | 14d |
| 16742750 | MACHINE LEARNING MODEL FOR SURFACING SUPPORTING EVIDENCE | HIGGS, STELLA EUN | 15d |
| 19314749 | UNIFIED AI-DRIVEN CLINICAL DECISION SUPPORT AND WORKFLOW OPTIMIZATION SYSTEM | RAPILLO, KRISTINE K | — |
| 19195327 | CLINICAL ASSESSMENT TOOL | WILLIAMS, TERESA S | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16912483 | OFFICE ASSISTANT TOOL | SIOZOPOULOS, CONSTANTINE B | 14d |
| 16742750 | MACHINE LEARNING MODEL FOR SURFACING SUPPORTING EVIDENCE | HIGGS, STELLA EUN | 15d |
| 19314749 | UNIFIED AI-DRIVEN CLINICAL DECISION SUPPORT AND WORKFLOW OPTIMIZATION SYSTEM | RAPILLO, KRISTINE K | — |
| 19195327 | CLINICAL ASSESSMENT TOOL | WILLIAMS, TERESA S | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 3687 | 1 |
| 3686 | 1 |
| 3681 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19314749 | UNIFIED AI-DRIVEN CLINICAL DECISION SUPPORT AND WORKFLOW OPTIMIZATION SYSTEM | RAPILLO, KRISTINE K | 3682 | §101§103 | Non-Final OA | — | Pending | Aug 29, 2025 |
| 19195327 | CLINICAL ASSESSMENT TOOL | WILLIAMS, TERESA S | 3687 | §101§103 | Non-Final OA | — | Pending | Apr 30, 2025 |
| 16912483 | OFFICE ASSISTANT TOOL | SIOZOPOULOS, CONSTANTINE B | 3686 | §101 | Non-Final OA | 14d | Pending | Jun 25, 2020 |
| 16742750 | MACHINE LEARNING MODEL FOR SURFACING SUPPORTING EVIDENCE | HIGGS, STELLA EUN | 3681 | §101§103 | Final Rejection | 15d | Pending | Jan 14, 2020 |
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Start Free TrialClover Health has 4 pending office actions as of October 2026, spread across 4 art units and 4 examiners.
Kristine K Rapillo has the most, with 1 of Clover Health's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
