Prosecution Insights
Prosecution Insights
8 pending office actions • 6 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 (12%) |
| §101 + other | 4 (50%) |
| §103 only | 1 (12%) |
| §112 only | 1 (12%) |
| Double-patenting only | 1 (12%) |
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 |
|---|---|---|---|
| ANDERSEN, KRISTOPHER E | 1 | 70.2% | +40.3% |
| LE, LINH GIANG | 1 | 66.0% | -4.9% |
| SANGHERA, STEVEN G.S. | 1 | 30.0% | +29.1% |
| ELSHAER, ALAAELDIN M | 1 | 35.6% | +31.4% |
| GO, JOHN PHILIP | 1 | 34.0% | +43.6% |
| ZHU, RICHARD Z | 1 | 69.4% | +15.3% |
| PAULS, JOHN A | 1 | 49.2% | +26.8% |
| HAYES, JONATHAN EDWARD | 1 | 37.5% | +23.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18986676 | SYSTEMS, METHODS AND INTERFACES FOR RESOURCE RESERVATION USING SMART CONTRACTS | ELSHAER, ALAAELDIN M | 58d overdue |
| 17237591 | Machine Learning Derived Multimorbidity Risk Scores for Generalizable Patient Populations | HAYES, JONATHAN EDWARD | 46d overdue |
| 18962869 | Cognitive Artificial Intelligence Platform for Physicians | GO, JOHN PHILIP | 45d overdue |
| 19183580 | Systems and Methods for Authorization Automation Using Artificial Intelligence | LE, LINH GIANG | — |
| 19040827 | Devices, Systems, and Methods for Generating and Providing Personalized Communications to Improve Adherence to Patient Treatment Plans | SANGHERA, STEVEN G.S. | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18986676 | SYSTEMS, METHODS AND INTERFACES FOR RESOURCE RESERVATION USING SMART CONTRACTS | ELSHAER, ALAAELDIN M | 58d overdue |
| 18587691 | Method and System for Predicting Medical Diagnoses Using Machine Learning without Patient Intervention | PAULS, JOHN A | 49d overdue |
| 17237591 | Machine Learning Derived Multimorbidity Risk Scores for Generalizable Patient Populations | HAYES, JONATHAN EDWARD | 46d overdue |
| 18962869 | Cognitive Artificial Intelligence Platform for Physicians | GO, JOHN PHILIP | 45d overdue |
| 19349815 | Personalized Smart Provider Search | ANDERSEN, KRISTOPHER E | — |
| 19040827 | Devices, Systems, and Methods for Generating and Providing Personalized Communications to Improve Adherence to Patient Treatment Plans | SANGHERA, STEVEN G.S. | — |
| 18939258 | Real-Time and Diagnostic Omnichannel Interaction Insights, Actions, and Management Using Machine Learning Models | ZHU, RICHARD Z | — |
| Art Unit | Apps |
|---|---|
| 2159 | 1 |
| 3684 | 1 |
| 3687 | 1 |
| 3681 | 1 |
| 3683 | 1 |
| 1685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19349815 | Personalized Smart Provider Search | ANDERSEN, KRISTOPHER E | 2159 | DP | Non-Final OA | — | Pending | Oct 03, 2025 |
| 19183580 | Systems and Methods for Authorization Automation Using Artificial Intelligence | LE, LINH GIANG | — | §101Other | Non-Final OA | — | Pending | Apr 18, 2025 |
| 19040827 | Devices, Systems, and Methods for Generating and Providing Personalized Communications to Improve Adherence to Patient Treatment Plans | SANGHERA, STEVEN G.S. | 3684 | §101§103§112 | Non-Final OA | — | Pending | Jan 29, 2025 |
| 18986676 | SYSTEMS, METHODS AND INTERFACES FOR RESOURCE RESERVATION USING SMART CONTRACTS | ELSHAER, ALAAELDIN M | 3687 | §101§102§103 | Final Rejection | 58d overdue | Pending | Dec 18, 2024 |
| 18962869 | Cognitive Artificial Intelligence Platform for Physicians | GO, JOHN PHILIP | 3681 | §101§103 | Final Rejection | 45d overdue | Pending | Nov 27, 2024 |
| 18939258 | Real-Time and Diagnostic Omnichannel Interaction Insights, Actions, and Management Using Machine Learning Models | ZHU, RICHARD Z | — | §103 | Non-Final OA | — | Pending | Nov 06, 2024 |
| 18587691 | Method and System for Predicting Medical Diagnoses Using Machine Learning without Patient Intervention | PAULS, JOHN A | 3683 | §112 | Non-Final OA | 49d overdue | Pending | Feb 26, 2024 |
| 17237591 | Machine Learning Derived Multimorbidity Risk Scores for Generalizable Patient Populations | HAYES, JONATHAN EDWARD | 1685 | §101§112 | Final Rejection | 46d overdue | Pending | Apr 22, 2021 |
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