Prosecution Insights
Prosecution Insights
9 pending office actions • 7 art units • 9 examiners • 0 of 9 (0%) 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. 8 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. 8 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 | 1 (11%) |
| §101 + other | 4 (44%) |
| §103 only | 4 (44%) |
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 |
|---|---|---|---|
| KHATTAR, RAJESH | 1 | 36.2% | +34.8% |
| HUYNH, EMILY | 1 | 21.6% | +43.4% |
| OBEID, MAMON A | 1 | 46.1% | +34.1% |
| LEGGETT, ANDREA C. | 1 | 75.8% | +20.6% |
| HOLCOMB, MARK | 1 | 33.7% | +40.5% |
| HEIN, DEVIN C | 1 | 46.0% | +29.8% |
| HULBERT, AMANDA K | 1 | 84.6% | +4.0% |
| WASEEM, HUMA | 1 | 18.6% | +23.0% |
| DARWISH, AMIR ELSAYED | 1 | 40.0% | +85.7% |
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 |
|---|---|---|---|
| 17785262 | METHOD AND SYSTEM FOR DETECTING MOOD | HULBERT, AMANDA K | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17772909 | SYSTEMS AND METHODS FOR QUANTIFYING HAZARDS IN LIVING SPACES | WASEEM, HUMA | 182d overdue |
| 18618327 | MACHINE LEARNING-BASED SUMMARIZATION AND EVALUATION OF CLINICAL DATA | OBEID, MAMON A | 79d overdue |
| 18086375 | TAGGING PATIENT REFERRALS | HEIN, DEVIN C | 46d overdue |
| 18911784 | MACHINE LEARNING FOR USER GUIDANCE IN CLINICAL SETTINGS | HUYNH, EMILY | 2d overdue |
| 19020699 | MACHINE LEARNING-BASED DISEASE TRANSMISSION PREDICTIONS AND INTERVENTIONS | KHATTAR, RAJESH | 15d |
| 18175324 | MACHINE LEARNING-BASED ELECTRONIC HEALTH RECORD PREDICTION | HOLCOMB, MARK | 40d |
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 |
|---|---|---|---|
| 17772909 | SYSTEMS AND METHODS FOR QUANTIFYING HAZARDS IN LIVING SPACES | WASEEM, HUMA | 182d overdue |
| 18618327 | MACHINE LEARNING-BASED SUMMARIZATION AND EVALUATION OF CLINICAL DATA | OBEID, MAMON A | 79d overdue |
| 17562789 | WOUND MANAGEMENT SYSTEM FOR PREDICTING AND AVOIDING WOUNDS IN A HEALTHCARE FACILITY | DARWISH, AMIR ELSAYED | 49d overdue |
| 18086375 | TAGGING PATIENT REFERRALS | HEIN, DEVIN C | 46d overdue |
| 18497695 | DYNAMIC INTERFACES BASED ON MACHINE LEARNING AND USER STATE | LEGGETT, ANDREA C. | 22d overdue |
| 18911784 | MACHINE LEARNING FOR USER GUIDANCE IN CLINICAL SETTINGS | HUYNH, EMILY | 2d overdue |
| 19020699 | MACHINE LEARNING-BASED DISEASE TRANSMISSION PREDICTIONS AND INTERVENTIONS | KHATTAR, RAJESH | 15d |
| 18175324 | MACHINE LEARNING-BASED ELECTRONIC HEALTH RECORD PREDICTION | HOLCOMB, MARK | 40d |
| Art Unit | Apps |
|---|---|
| 3685 | 2 |
| 3686 | 2 |
| 3683 | 1 |
| 3687 | 1 |
| 2171 | 1 |
| 3792 | 1 |
| 2199 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19020699 | MACHINE LEARNING-BASED DISEASE TRANSMISSION PREDICTIONS AND INTERVENTIONS | KHATTAR, RAJESH | 3685 | §101§103 | Final Rejection | 15d | Pending | Jan 14, 2025 |
| 18911784 | MACHINE LEARNING FOR USER GUIDANCE IN CLINICAL SETTINGS | HUYNH, EMILY | 3683 | §101§102 | Final Rejection | 2d overdue | Pending | Oct 10, 2024 |
| 18618327 | MACHINE LEARNING-BASED SUMMARIZATION AND EVALUATION OF CLINICAL DATA | OBEID, MAMON A | 3687 | §101§103 | Non-Final OA | 79d overdue | Pending | Mar 27, 2024 |
| 18497695 | DYNAMIC INTERFACES BASED ON MACHINE LEARNING AND USER STATE | LEGGETT, ANDREA C. | 2171 | §103 | Non-Final OA | 22d overdue | Pending | Oct 30, 2023 |
| 18175324 | MACHINE LEARNING-BASED ELECTRONIC HEALTH RECORD PREDICTION | HOLCOMB, MARK | 3685 | §101§103§112 | Non-Final OA | 40d | Pending | Feb 27, 2023 |
| 18086375 | TAGGING PATIENT REFERRALS | HEIN, DEVIN C | 3686 | §101 | Final Rejection | 46d overdue | Pending | Dec 21, 2022 |
| 17785262 | METHOD AND SYSTEM FOR DETECTING MOOD | HULBERT, AMANDA K | 3792 | §103 | Non-Final OA | — | Pending | Jun 14, 2022 |
| 17772909 | SYSTEMS AND METHODS FOR QUANTIFYING HAZARDS IN LIVING SPACES | WASEEM, HUMA | 3686 | §103 | Non-Final OA | 182d overdue | Pending | Apr 28, 2022 |
| 17562789 | WOUND MANAGEMENT SYSTEM FOR PREDICTING AND AVOIDING WOUNDS IN A HEALTHCARE FACILITY | DARWISH, AMIR ELSAYED | 2199 | §103 | Non-Final OA | 49d overdue | Pending | Dec 27, 2021 |
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