Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
4 pending office actions • 2 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
Medical Al Co. Ltd. is managing 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are split among 3 distinct examiners and 2 distinct art units. Joshua Damian Ruiz is the busiest examiner, though he is responsible for only 1 pending action. The distribution across 2 art units indicates a technical divergence in the pending applications.
With 3 examiners for 3 pending office actions, each matter is receiving a unique review from a different official. Practitioners should be prepared to handle 3 different examiner perspectives across the 2 art units involved. This decentralized workload means that the outcome of one action may not necessarily influence the others. Because Ruiz and the other 2 examiners each manage 1 pending action, the company's prosecution efforts are spread evenly. Navigating 2 distinct art units requires an understanding of the specific procedural nuances within each group.
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 | 4 (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 |
|---|---|---|---|
| BURGESS, JOSEPH D | 1 | 39.7% | +35.8% |
| RUIZ, JOSHUA DAMIAN | 1 | 0.0% | +0.0% |
| NGUYEN, TRAN N | 1 | 61.9% | +16.8% |
| LEVICKY, WILLIAM J | 1 | 69.4% | +29.7% |
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 |
|---|---|---|---|
| 18692334 | METHOD, COMPUTER PROGRAM, AND DEVICE FOR CONTINUOUSLY MEASURING BODY CONDITION ON BASIS OF DEEP LEARNING | LEVICKY, WILLIAM J | 48d |
| 19128991 | ELECTRONIC DEVICE FOR DIAGNOSING DISEASE OF USER ON BASIS OF BIOLOGICAL SIGNAL, AND CONTROL METHOD THEREFOR | BURGESS, JOSEPH D | — |
| 18993536 | METHOD, PROGRAM, AND APPARATUS FOR PREDICTING HEALTH STATE USING ELECTROCARDIOGRAM | RUIZ, JOSHUA DAMIAN | — |
| 18875327 | SYSTEM AND METHOD FOR PROVIDING ELECTROCARDIOGRAM READING SERVICE | NGUYEN, TRAN 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18692334 | METHOD, COMPUTER PROGRAM, AND DEVICE FOR CONTINUOUSLY MEASURING BODY CONDITION ON BASIS OF DEEP LEARNING | LEVICKY, WILLIAM J | 48d |
| 19128991 | ELECTRONIC DEVICE FOR DIAGNOSING DISEASE OF USER ON BASIS OF BIOLOGICAL SIGNAL, AND CONTROL METHOD THEREFOR | BURGESS, JOSEPH D | — |
| 18875327 | SYSTEM AND METHOD FOR PROVIDING ELECTROCARDIOGRAM READING SERVICE | NGUYEN, TRAN N | — |
| Art Unit | Apps |
|---|---|
| 3685 | 2 |
| 3796 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19128991 | ELECTRONIC DEVICE FOR DIAGNOSING DISEASE OF USER ON BASIS OF BIOLOGICAL SIGNAL, AND CONTROL METHOD THEREFOR | BURGESS, JOSEPH D | 3685 | §101§103 | Non-Final OA | — | Pending | May 10, 2025 |
| 18993536 | METHOD, PROGRAM, AND APPARATUS FOR PREDICTING HEALTH STATE USING ELECTROCARDIOGRAM | RUIZ, JOSHUA DAMIAN | — | §101§102§103 | Non-Final OA | — | Pending | Jan 11, 2025 |
| 18875327 | SYSTEM AND METHOD FOR PROVIDING ELECTROCARDIOGRAM READING SERVICE | NGUYEN, TRAN N | 3685 | §101§102 | Final Rejection | — | Pending | Dec 16, 2024 |
| 18692334 | METHOD, COMPUTER PROGRAM, AND DEVICE FOR CONTINUOUSLY MEASURING BODY CONDITION ON BASIS OF DEEP LEARNING | LEVICKY, WILLIAM J | 3796 | §101§103 | Final Rejection | 48d | Pending | Mar 15, 2024 |
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