Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
10 pending office actions • 6 art units • 9 examiners • 5 of 10 (50%) have an AI response strategy ready • 6 patents granted in the last 365 days
ResMed has 11 pending office actions in Transportation, E-Commerce & Mechanical Systems. Those matters are distributed among 10 examiners and 7 art units, indicating that the portfolio reaches multiple examination groups rather than a single prosecution channel.
TIEDEMAN, JASON S is the busiest examiner, with 2 pending actions. The remaining matters are therefore spread across other examiner assignments, so docket management should combine portfolio-level tracking with matter-specific review.
The examiner and art-unit distribution creates a need for consistent claim strategy, while still allowing responses to account for differing examination contexts. The 2 matters before the busiest examiner warrant particular scheduling attention, but the broader workload requires coordination across all identified assignments.
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 | 62.7% | +31.7% |
| AUNG, SAI | 1 | 88.8% | +3.5% |
| FERNANDES, PATRICK M | 1 | 59.9% | +31.6% |
| LAU, TUNG S | 1 | 83.0% | +14.5% |
| EVANS, ASHLEY ELIZABETH | 1 | 16.4% | +36.5% |
| PAULS, JOHN A | 1 | 49.0% | +27.7% |
| 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 |
| 3687 | 2 |
| 3791 | 2 |
| 2416 | 1 |
| 2857 | 1 |
| 3682 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19014548 | ELECTRONIC MANAGEMENT OF SLEEP RELATED DATA | KANAAN, MAROUN P | 3687 | DP | Non-Final OA | — | Pending | Jan 09, 2025 |
| 18909149 | SCHEDULE REQUEST PROCEDURES FOR LOGICAL CHANNELS OF A WIRELESS DEVICE | AUNG, SAI | 2416 | §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 | Final Rejection | 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 | 3682 | §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 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialResMed has 10 pending office actions as of October 2026, spread across 6 art units and 9 examiners.
Jason S Tiedeman has the most, with 2 of ResMed's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
