Technology area: Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready
Better Care Technologies LLC is managing 5 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 4 distinct examiners. The portfolio is also spread across 4 distinct art units, which indicates that the company's innovations are being reviewed in multiple technical sub-specialties within the broader mechanical systems domain.
The busiest examiner, WASEEM, HUMA, handles 2 busiest examiner pending actions. This accounts for a portion of the 5 pending office actions, while the remaining actions are spread among the other examiners. The presence of multiple art units suggests that the pending office actions cover various technical aspects. Practitioners must coordinate across different examiners and art units, which requires a management strategy that accounts for multiple points of contact. This distribution across the examiners and art units defines the current prosecution landscape for the company.
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 + other | 4 (80%) |
| §102 only | 1 (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 |
|---|---|---|---|
| WASEEM, HUMA | 2 | 17.7% | +20.5% |
| GO, JOHN PHILIP | 1 | 34.1% | +43.1% |
| SHAH, BHAVIN D | 1 | 41.7% | +25.0% |
| EVANS, ASHLEY ELIZABETH | 1 | 17.2% | +39.1% |
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 |
|---|---|---|---|
| 18896591 | SYSTEM AND METHOD FOR STEERING CARE PLAN ACTIONS BY DETECTING TONE, EMOTION, AND/OR HEALTH OUTCOME | EVANS, ASHLEY ELIZABETH | 89d overdue |
| 19025500 | METHOD AND SYSTEM FOR DETECTION OF WASTE, FRAUD, AND ABUSE IN INFORMATION ACCESS USING COGNITIVE ARTIFICIAL INTELLIGENCE | GO, JOHN PHILIP | 28d overdue |
| 18965951 | PATIENT VIEWER CUSTOMIZED WITH CURATED MEDICAL KNOWLEDGE | WASEEM, HUMA | 12d |
| 18951112 | SYSTEM & METHOD TO DETECT FRAUDULENT OR ABUSIVE BEHAVIOR AS PART OF MEDICAL RECORD AND MEDICATION MANAGEMENT | SHAH, BHAVIN D | 21d |
| 19000915 | PERFORMING MAPPING OPERATIONS TO PERFORM AN INTERVENTION | WASEEM, HUMA | 22d |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18896591 | SYSTEM AND METHOD FOR STEERING CARE PLAN ACTIONS BY DETECTING TONE, EMOTION, AND/OR HEALTH OUTCOME | EVANS, ASHLEY ELIZABETH | 89d overdue |
| 19025500 | METHOD AND SYSTEM FOR DETECTION OF WASTE, FRAUD, AND ABUSE IN INFORMATION ACCESS USING COGNITIVE ARTIFICIAL INTELLIGENCE | GO, JOHN PHILIP | 28d overdue |
| 18965951 | PATIENT VIEWER CUSTOMIZED WITH CURATED MEDICAL KNOWLEDGE | WASEEM, HUMA | 12d |
| 18951112 | SYSTEM & METHOD TO DETECT FRAUDULENT OR ABUSIVE BEHAVIOR AS PART OF MEDICAL RECORD AND MEDICATION MANAGEMENT | SHAH, BHAVIN D | 21d |
| 19000915 | PERFORMING MAPPING OPERATIONS TO PERFORM AN INTERVENTION | WASEEM, HUMA | 22d |
| Art Unit | Apps |
|---|---|
| 3686 | 2 |
| 3681 | 1 |
| 3694 | 1 |
| 3687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19025500 | METHOD AND SYSTEM FOR DETECTION OF WASTE, FRAUD, AND ABUSE IN INFORMATION ACCESS USING COGNITIVE ARTIFICIAL INTELLIGENCE | GO, JOHN PHILIP | 3681 | §101§103 | Final Rejection | 28d overdue | Pending | Jan 16, 2025 |
| 19000915 | PERFORMING MAPPING OPERATIONS TO PERFORM AN INTERVENTION | WASEEM, HUMA | 3686 | §101§102§103 | Non-Final OA | 22d | Pending | Dec 24, 2024 |
| 18965951 | PATIENT VIEWER CUSTOMIZED WITH CURATED MEDICAL KNOWLEDGE | WASEEM, HUMA | 3686 | §101§102§103 | Non-Final OA | 12d | Pending | Dec 02, 2024 |
| 18951112 | SYSTEM & METHOD TO DETECT FRAUDULENT OR ABUSIVE BEHAVIOR AS PART OF MEDICAL RECORD AND MEDICATION MANAGEMENT | SHAH, BHAVIN D | 3694 | §101§103 | Non-Final OA | 21d | Pending | Nov 18, 2024 |
| 18896591 | SYSTEM AND METHOD FOR STEERING CARE PLAN ACTIONS BY DETECTING TONE, EMOTION, AND/OR HEALTH OUTCOME | EVANS, ASHLEY ELIZABETH | 3687 | §102 | Final Rejection | 89d overdue | Pending | Sep 25, 2024 |
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