Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
10 pending office actions • 4 art units • 9 examiners • 5 of 10 (50%) have an AI response strategy ready • 7 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 | 2 (20%) |
| §101 + other | 3 (30%) |
| §103 only | 2 (20%) |
| Double-patenting only | 1 (10%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| TIEDEMAN, JASON S | 2 | 28.5% | +34.9% |
| KANAAN, MAROUN P | 1 | 62.6% | +31.7% |
| AUNG, SAI | 1 | 88.7% | +3.6% |
| FERNANDES, PATRICK M | 1 | 59.8% | +31.7% |
| LAU, TUNG S | 1 | 83.0% | +14.5% |
| EVANS, ASHLEY ELIZABETH | 1 | 17.2% | +39.1% |
| PAULS, JOHN A | 1 | 49.1% | +27.4% |
| HAMILTON, MATTHEW L | 1 | 53.5% | +61.4% |
| BALAJI, KAVYA SHOBANA | 1 | 20.0% | +63.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18583018 | REMOTE DIAGNOSTICS OF RESPIRATORY THERAPY DEVICES | LAU, TUNG S | 66d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18568209 | MACHINE LEARNING SYSTEM AND METHOD TO DETERMINE STEP UP AND STEP DOWN OF TREATMENTS | EVANS, ASHLEY ELIZABETH | 97d overdue |
| 18828543 | PATIENT MANAGEMENT SYSTEM | TIEDEMAN, JASON S | 29d overdue |
| 17826226 | PATIENT MANAGEMENT SYSTEM | TIEDEMAN, JASON S | 19d |
| 18909149 | SCHEDULE REQUEST PROCEDURES FOR LOGICAL CHANNELS OF A WIRELESS DEVICE | AUNG, SAI | — |
| 18586373 | METHODS AND APPARATUSES FOR ANALYZING ONE OR MORE ANALYTES FROM A USER | FERNANDES, PATRICK M | — |
| 18023565 | SYSTEMS AND METHODS TO PROTECT AGAINST INFECTIOUS DISEASE | HAMILTON, MATTHEW L | — |
| 17631728 | SYSTEM AND METHOD FOR CONTINUOUS MONITORING OF RESPIRATORY AILMENTS | BALAJI, KAVYA SHOBANA | — |
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 |
|---|---|---|---|
| 18568209 | MACHINE LEARNING SYSTEM AND METHOD TO DETERMINE STEP UP AND STEP DOWN OF TREATMENTS | EVANS, ASHLEY ELIZABETH | 97d overdue |
| 18583018 | REMOTE DIAGNOSTICS OF RESPIRATORY THERAPY DEVICES | LAU, TUNG S | 66d overdue |
| 18828543 | PATIENT MANAGEMENT SYSTEM | TIEDEMAN, JASON S | 29d overdue |
| 18562210 | SYSTEM AND METHOD FOR COMPLIANCE PREDICTION BASED ON DEVICE USAGE AND PATIENT DEMOGRAPHICS | PAULS, JOHN A | 14d |
| 17826226 | PATIENT MANAGEMENT SYSTEM | TIEDEMAN, JASON S | 19d |
| 19014548 | ELECTRONIC MANAGEMENT OF SLEEP RELATED DATA | KANAAN, MAROUN P | — |
| 18586373 | METHODS AND APPARATUSES FOR ANALYZING ONE OR MORE ANALYTES FROM A USER | FERNANDES, PATRICK M | — |
| 18023565 | SYSTEMS AND METHODS TO PROTECT AGAINST INFECTIOUS DISEASE | HAMILTON, MATTHEW L | — |
| Art Unit | Apps |
|---|---|
| 3683 | 3 |
| 3791 | 2 |
| 2857 | 1 |
| 3687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19014548 | ELECTRONIC MANAGEMENT OF SLEEP RELATED DATA | KANAAN, MAROUN P | — | DP | Non-Final OA | — | Pending | Jan 09, 2025 |
| 18909149 | SCHEDULE REQUEST PROCEDURES FOR LOGICAL CHANNELS OF A WIRELESS DEVICE | AUNG, SAI | — | §103§112 | Non-Final OA | — | Pending | Oct 08, 2024 |
| 18828543 | PATIENT MANAGEMENT SYSTEM | TIEDEMAN, JASON S | 3683 | §101Other | Final Rejection | 29d overdue | AI Ready | Sep 09, 2024 |
| 18586373 | METHODS AND APPARATUSES FOR ANALYZING ONE OR MORE ANALYTES FROM A USER | FERNANDES, PATRICK M | 3791 | §101§102§103Other | Non-Final OA | — | Pending | Feb 23, 2024 |
| 18583018 | REMOTE DIAGNOSTICS OF RESPIRATORY THERAPY DEVICES | LAU, TUNG S | 2857 | §103 | Non-Final OA | 66d overdue | AI Ready | Feb 21, 2024 |
| 18568209 | MACHINE LEARNING SYSTEM AND METHOD TO DETERMINE STEP UP AND STEP DOWN OF TREATMENTS | EVANS, ASHLEY ELIZABETH | 3687 | §101§103 | Final Rejection | 97d overdue | AI Ready | Dec 07, 2023 |
| 18562210 | SYSTEM AND METHOD FOR COMPLIANCE PREDICTION BASED ON DEVICE USAGE AND PATIENT DEMOGRAPHICS | PAULS, JOHN A | 3683 | §103 | Final Rejection | 14d | AI Ready | Nov 17, 2023 |
| 18023565 | SYSTEMS AND METHODS TO PROTECT AGAINST INFECTIOUS DISEASE | HAMILTON, MATTHEW L | — | §101§102 | Non-Final OA | — | Pending | Feb 27, 2023 |
| 17826226 | PATIENT MANAGEMENT SYSTEM | TIEDEMAN, JASON S | 3683 | §101Other | Final Rejection | 19d | AI Ready | May 27, 2022 |
| 17631728 | SYSTEM AND METHOD FOR CONTINUOUS MONITORING OF RESPIRATORY AILMENTS | BALAJI, KAVYA SHOBANA | 3791 | §103§112 | Final Rejection | — | Pending | Jan 31, 2022 |
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