Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
10 pending office actions • 2 clients • 9 examiners • 8 art units • 0 of 10 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
ALG Intellectual Property | IQVIA is a patent law firm that focuses on Transportation, E-Commerce & Mechanical Systems, having handled 1970 career applications. The firm achieves a resolved allowance rate of 91.92 percent, demonstrating a capability in securing patent protection for mechanical and e-commerce innovations. This success rate is an indicator of their proficiency in these sectors.
The firm currently manages 7 pending office actions. Their prosecution history includes an average of 3.43 office actions per allowance. This figure suggests a persistent approach to examiner interaction, requiring the rounds of communication recorded in the data to reach the 91.92 percent allowance rate. For practitioners, the 3.43 average provides an expectation for the intensity of the prosecution cycle in Transportation, E-Commerce & Mechanical Systems.
With 1970 career applications, the firm has a foundation of experience in the industry. The 91.92 percent allowance rate and 3.43 office actions per allowance together paint a picture of a firm with a track record of success. These metrics, along with the 7 pending office actions, offer a view of the firm's performance.
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 (30%) |
| §101 + other | 5 (50%) |
| §103 only | 2 (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 |
|---|---|---|---|
| CONYERS, DAWAUNE A | 2 | 65.7% | +19.3% |
| LAM, PHILIP HUNG FAI | 1 | 83.9% | +50.9% |
| MONTICELLO, WILLIAM THOMAS | 1 | 49.0% | +49.0% |
| KANAAN, LIZA TONY | 1 | 23.4% | +31.5% |
| REICHERT, RACHELLE LEIGH | 1 | 30.2% | +33.2% |
| COBANOGLU, DILEK B | 1 | 33.3% | +27.0% |
| CHRISTIANSON, SKYLAR LINDSEY | 1 | 59.6% | +27.7% |
| BIANCAMANO, ALYSSA N | 1 | 55.9% | +36.4% |
| ORR, HENRY W | 1 | 50.5% | +37.3% |
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 |
| 19095170 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | CONYERS, DAWAUNE A | — |
| 19091648 | MATCHING SERVICE REQUESTER WITH SERVICE PROVIDERS | LAM, PHILIP HUNG FAI | — |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | KANAAN, LIZA TONY | — |
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 |
| 17308415 | AI AND ML ASSISTED SYSTEM FOR DETERMINING SITE COMPLIANCE USING SITE VISIT REPORT | ORR, HENRY W | 42d |
| 18883806 | SOURCE DATA REVIEW SYSTEM | REICHERT, RACHELLE LEIGH | 76d |
| 19095170 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | CONYERS, DAWAUNE A | — |
| 19091648 | MATCHING SERVICE REQUESTER WITH SERVICE PROVIDERS | LAM, PHILIP HUNG FAI | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Iqvia | 9 |
| Iqvia, Inc. | 1 |
| Art Unit | Apps |
|---|---|
| 2159 | 2 |
| 3682 | 1 |
| 3683 | 1 |
| 3686 | 1 |
| 3687 | 1 |
| 3792 | 1 |
| 3715 | 1 |
| 2172 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19095170 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | Iqvia Inc. | CONYERS, DAWAUNE A | 2159 | §101§103 | Final Rejection | — | Pending | Mar 31, 2025 |
| 19091648 | MATCHING SERVICE REQUESTER WITH SERVICE PROVIDERS | Iqvia Inc. | LAM, PHILIP HUNG FAI | §101Other | Non-Final OA | — | Pending | Mar 26, 2025 | |
| 19067188 | UNBIASED ETL SYSTEM FOR TIMED MEDICAL EVENT PREDICTION | Iqvia, Inc. | MONTICELLO, WILLIAM THOMAS | 3682 | §101§103 | Final Rejection | 41d | Pending | Feb 28, 2025 |
| 18956681 | PROVIDING ACCESS TO CLINICAL TRIAL DATA | Iqvia Inc. | CONYERS, DAWAUNE A | 2159 | §103 | Final Rejection | — | Pending | Nov 22, 2024 |
| 18885234 | CLINICAL TRIAL OPERATIONAL PLAN GENERATION | Iqvia Inc. | KANAAN, LIZA TONY | 3683 | §101§103 | Non-Final OA | — | Pending | Sep 13, 2024 |
| 18883806 | SOURCE DATA REVIEW SYSTEM | Iqvia Inc. | REICHERT, RACHELLE LEIGH | 3686 | §101 | Non-Final OA | 76d | Pending | Sep 12, 2024 |
| 18235510 | METHOD FOR PREDICTING RISK OF DEPRESSION RELAPSE OR ONSET | Iqvia Inc. | COBANOGLU, DILEK B | 3687 | §101§112 | Non-Final OA | 32d overdue | Pending | Aug 18, 2023 |
| 18126100 | SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS | Iqvia Inc. | CHRISTIANSON, SKYLAR LINDSEY | 3792 | §101 | Non-Final OA | 15d overdue | Pending | Mar 24, 2023 |
| 17461494 | METHOD FOR CHARACTERIZING, DETECTING, AND MONITORING ADHD | Iqvia Inc. | 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 | Iqvia Inc. | ORR, HENRY W | 2172 | §103 | Non-Final OA | 42d | Pending | May 05, 2021 |
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