Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Adding Value To The Healthcare Equation Inc. is managing 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This action is assigned to TIEDEMAN, JASON S, who is the busiest examiner for the company with 1 pending matter.
The current prosecution activity is restricted to 1 distinct examiner and 1 distinct art unit. This suggests a very specific technical focus for the company's pending application, requiring engagement with only one specialized area of the patent office.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 | 1 (100%) |
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 | 1 | 28.5% | +34.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18784737 | PREDICTIVE MODELING FOR HEALTHCARE COSTS | TIEDEMAN, JASON S | 92d overdue |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18784737 | PREDICTIVE MODELING FOR HEALTHCARE COSTS | TIEDEMAN, JASON S | 92d overdue |
| Art Unit | Apps |
|---|---|
| 3683 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18784737 | PREDICTIVE MODELING FOR HEALTHCARE COSTS | TIEDEMAN, JASON S | 3683 | §101§103§112 | Final Rejection | 92d overdue | Pending | Jul 25, 2024 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial