Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
11 pending office actions • 10 art units • 11 examiners • 0 of 11 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Iqvia Inc. currently has 11 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These cases are distributed among 11 distinct examiners, meaning that each pending action is being handled by a different individual. This arrangement of 11 distinct examiners suggests that the company must manage many different sets of expectations and examination styles simultaneously.
The portfolio is active across 9 distinct art units, which demonstrates a range of technical subject matter within the company's filings. LAM, PHILIP HUNG FAI is the busiest examiner, though this individual is currently responsible for only 1 pending office action. Because there are 11 pending office actions in total, the prosecution workload is decentralized. Practitioners cannot rely on a single strategy for this portfolio and must instead develop 11 unique approaches for the 11 distinct examiners involved. Navigating the 9 distinct art units will require a deep understanding of various technical guidelines at the patent office.
Based on the USPTO statutory response window for each pending office action. 7 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 7 of the docket's apps have a known mailing date.
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 | 3 (27%) |
| §101 + other | 5 (45%) |
| §103 only | 2 (18%) |
| No statute on record | 1 (9%) |
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 |
|---|---|---|---|
| LAM, PHILIP HUNG FAI | 1 | 83.9% | +50.9% |
| MONTICELLO, WILLIAM THOMAS | 1 | 49.0% | +49.0% |
| CONYERS, DAWAUNE A | 1 | 65.7% | +19.3% |
| KANAAN, LIZA TONY | 1 | 23.4% | +31.5% |
| REICHERT, RACHELLE LEIGH | 1 | 30.2% | +33.2% |
| HENEGHAN, MATTHEW E | 1 | 83.7% | +5.2% |
| COBANOGLU, DILEK B | 1 | 33.3% | +27.0% |
| BORISSOV, IGOR N | 1 | 28.5% | +41.8% |
| CHRISTIANSON, SKYLAR LINDSEY | 1 | 59.6% | +27.7% |
| BIANCAMANO, ALYSSA N | 1 | 55.9% | +36.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18235510 | METHOD FOR PREDICTING RISK OF DEPRESSION RELAPSE OR ONSET | COBANOGLU, DILEK B | 32d overdue |
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | CHRISTIANSON, SKYLAR LINDSEY | 15d overdue |
| 17461494 | METHOD FOR CHARACTERIZING, DETECTING, AND MONITORING ADHD | BIANCAMANO, ALYSSA N | 16d |
| 19067188 | UNBIASED ETL SYSTEM FOR TIMED MEDICAL EVENT PREDICTION | MONTICELLO, WILLIAM THOMAS | 41d |
| 18883806 | SOURCE DATA REVIEW SYSTEM | REICHERT, RACHELLE LEIGH | 76d |
| 19091648 | MATCHING SERVICE REQUESTER WITH SERVICE PROVIDERS | LAM, PHILIP HUNG FAI | — |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | — |
| 18333973 | SMART LABELING MANAGEMENT | BORISSOV, IGOR N | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18235510 | METHOD FOR PREDICTING RISK OF DEPRESSION RELAPSE OR ONSET | COBANOGLU, DILEK B | 32d overdue |
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | CHRISTIANSON, SKYLAR LINDSEY | 15d overdue |
| 17461494 | METHOD FOR CHARACTERIZING, DETECTING, AND MONITORING ADHD | BIANCAMANO, ALYSSA N | 16d |
| 19067188 | UNBIASED ETL SYSTEM FOR TIMED MEDICAL EVENT PREDICTION | MONTICELLO, WILLIAM THOMAS | 41d |
| 18883806 | SOURCE DATA REVIEW SYSTEM | REICHERT, RACHELLE LEIGH | 76d |
| 19091648 | MATCHING SERVICE REQUESTER WITH SERVICE PROVIDERS | LAM, PHILIP HUNG FAI | — |
| 18956681 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | CONYERS, DAWAUNE A | — |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 2159 | 1 |
| 3683 | 1 |
| 3686 | 1 |
| 3992 | 1 |
| 3687 | 1 |
| 3685 | 1 |
| 3792 | 1 |
| 3715 | 1 |
| 2172 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19091648 | MATCHING SERVICE REQUESTER WITH SERVICE PROVIDERS | LAM, PHILIP HUNG FAI | — | §101Other | Non-Final OA | — | Pending | Mar 26, 2025 |
| 19067188 | UNBIASED ETL SYSTEM FOR TIMED MEDICAL EVENT PREDICTION | MONTICELLO, WILLIAM THOMAS | 3682 | §101§103 | Final Rejection | 41d | Pending | Feb 28, 2025 |
| 18956681 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | CONYERS, DAWAUNE A | 2159 | §103 | Final Rejection | — | Pending | Nov 22, 2024 |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | 3683 | §101§103 | Non-Final OA | — | Pending | Sep 13, 2024 |
| 18883806 | SOURCE DATA REVIEW SYSTEM | REICHERT, RACHELLE LEIGH | 3686 | §101 | Non-Final OA | 76d | Pending | Sep 12, 2024 |
| 18587633 | System and Method for Timely Notification of Treatment | HENEGHAN, MATTHEW E | 3992 | Other | Final Rejection | 38d overdue | Pending | Feb 26, 2024 |
| 18235510 | METHOD FOR PREDICTING RISK OF DEPRESSION RELAPSE OR ONSET | COBANOGLU, DILEK B | 3687 | §101§112 | Non-Final OA | 32d overdue | Pending | Aug 18, 2023 |
| 18333973 | SMART LABELING MANAGEMENT | BORISSOV, IGOR N | 3685 | §101§102 | Non-Final OA | — | Pending | Jun 13, 2023 |
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | CHRISTIANSON, SKYLAR LINDSEY | 3792 | §101 | Non-Final OA | 15d overdue | Pending | Mar 24, 2023 |
| 17461494 | METHOD FOR CHARACTERIZING, DETECTING, AND MONITORING ADHD | BIANCAMANO, ALYSSA N | 3715 | §101§112 | Final Rejection | 16d | Pending | Aug 30, 2021 |
| 17308415 | AI AND ML ASSISTED SYSTEM FOR DETERMINING SITE COMPLIANCE USING SITE VISIT REPORT | ORR, HENRY W | 2172 | §103 | Non-Final OA | 42d | Pending | May 05, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial