Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
McKesson Corporation currently has 4 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. Each of these 4 actions is assigned to a different individual, resulting in 4 distinct examiners for the portfolio. Furthermore, every pending action is located in a different technical group, totaling 4 distinct art units. This represents a high degree of both personnel and technical diversity in the current prosecution pipeline.
The busiest examiner for the company is CHEIN, ALLEN C, who is responsible for 1 pending office action. This workload is shared equally across the 4 distinct examiners. Since there are 4 distinct examiners and 4 distinct art units for 4 pending office actions, every single matter is being reviewed by a unique person in a unique technical division. This indicates that the Transportation, E-Commerce & Mechanical Systems portfolio covers a wide range of distinct sub-disciplines, requiring a broad management approach at the patent office.
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 only | 1 (20%) |
| §101 + other | 3 (60%) |
| §103 only | 1 (20%) |
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 |
|---|---|---|---|
| CHEIN, ALLEN C | 1 | 45.1% | +40.0% |
| MORICE DE VARGAS, SARA JESSICA | 1 | 8.8% | +22.1% |
| WEHOVZ, OSCAR | 1 | 64.9% | +29.2% |
| DEL TORO-ORTEGA, JORGE G | 1 | 18.2% | +29.4% |
| ABDULLAEV, AMANULLA | 1 | 23.4% | +33.4% |
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 |
|---|---|---|---|
| 18920584 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IDENTIFYING SPLIT ELECTRONIC DATA RECORDS | CHEIN, ALLEN C | — |
| 17839224 | METHODS AND SYSTEMS FOR PREDICTIVE MODELING | MORICE DE VARGAS, SARA JESSICA | — |
| 17502423 | Systems, Methods, And Apparatuses For Improved Logistics Predictions | DEL TORO-ORTEGA, JORGE G | — |
| 17499976 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING REAL-TIME PRICING INFORMATION | ABDULLAEV, AMANULLA | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17546744 | DETECTION OF ANOMALOUS RECORDS WITHIN A DATASET | WEHOVZ, OSCAR | 34d |
| 18920584 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IDENTIFYING SPLIT ELECTRONIC DATA RECORDS | CHEIN, ALLEN C | — |
| 17839224 | METHODS AND SYSTEMS FOR PREDICTIVE MODELING | MORICE DE VARGAS, SARA JESSICA | — |
| 17502423 | Systems, Methods, And Apparatuses For Improved Logistics Predictions | DEL TORO-ORTEGA, JORGE G | — |
| 17499976 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING REAL-TIME PRICING INFORMATION | ABDULLAEV, AMANULLA | — |
| Art Unit | Apps |
|---|---|
| 3627 | 1 |
| 3681 | 1 |
| 2161 | 1 |
| 3628 | 1 |
| 3692 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18920584 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IDENTIFYING SPLIT ELECTRONIC DATA RECORDS | CHEIN, ALLEN C | 3627 | §101§103 | Non-Final OA | — | Pending | Oct 18, 2024 |
| 17839224 | METHODS AND SYSTEMS FOR PREDICTIVE MODELING | MORICE DE VARGAS, SARA JESSICA | 3681 | §101§102§112 | Non-Final OA | — | Pending | Jun 13, 2022 |
| 17546744 | DETECTION OF ANOMALOUS RECORDS WITHIN A DATASET | WEHOVZ, OSCAR | 2161 | §103 | Final Rejection | 34d | Pending | Dec 09, 2021 |
| 17502423 | Systems, Methods, And Apparatuses For Improved Logistics Predictions | DEL TORO-ORTEGA, JORGE G | 3628 | §101 | Final Rejection | — | Pending | Oct 15, 2021 |
| 17499976 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING REAL-TIME PRICING INFORMATION | ABDULLAEV, AMANULLA | 3692 | §101§103§112 | Non-Final OA | — | Pending | Oct 13, 2021 |
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