Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
12 pending office actions • 12 art units • 12 examiners • 0 of 12 (0%) have an AI response strategy ready • 24 patents granted in the last 365 days
UnitedHealth Group Incorporated manages a portfolio of 11 pending office actions within the Computing & Software technology area. These matters are widely distributed across 11 distinct examiners and 11 distinct art units, reflecting a balanced ratio between pending actions and the personnel reviewing them. This high level of dispersion indicates that no single examiner or unit has a concentrated influence over the company's current prosecution. Practitioners must be prepared to manage these different examination styles simultaneously.
The busiest examiner, FRAZIER, BRADY W, is responsible for 1 pending office action. Because there are 11 distinct examiners for the 11 pending office actions, every examiner in the portfolio currently handles exactly 1 matter. This ensures that the company's cases are being evaluated independently by the different individuals, requiring a broad strategy to address various preferences. The involvement of 11 distinct art units further suggests that the company's Computing & Software innovations are being evaluated across a broad spectrum of USPTO technical divisions. This distribution across the 11 distinct art units requires managing multiple sets of examination trends within the same technology area.
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 (8%) |
| §101 + other | 4 (33%) |
| §103 only | 4 (33%) |
| §112 only | 1 (8%) |
| Multi-statute (no §101) | 2 (17%) |
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 |
|---|---|---|---|
| FRAZIER, BRADY W | 1 | 78.6% | +26.9% |
| JONES, COURTNEY PATRICE | 1 | 68.7% | +22.9% |
| HEALY, NOAH MICHAEL | 1 | 54.0% | +41.4% |
| LEE, ANDREW ELDRIDGE | 1 | 16.8% | +31.5% |
| CHOI, PETER H | 1 | 26.3% | +18.5% |
| BOSTWICK, SIDNEY VINCENT | 1 | 51.6% | +37.3% |
| KAPOOR, DEVAN | 1 | 6.7% | +10.0% |
| SPRATT, BEAU D | 1 | 78.9% | +23.8% |
| PHAM, JESSICA THUY | 1 | 18.2% | +90.0% |
| STORK, KYLE R | 1 | 63.2% | +28.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17486272 | PREDICTIVE ANOMALY DETECTION USING DEFINED INTERACTION LEVEL ANOMALY SCORES | SPRAUL III, VINCENT ANTON | 32d overdue |
| 18189039 | MACHINE LEARNING MODEL TRAINING FOR IMPROVING ANOMALY DETECTION | KAPOOR, DEVAN | 2d overdue |
| 18756923 | Techniques for Dynamic Data Validation | LEE, ANDREW ELDRIDGE | 14d |
| 17528001 | MACHINE LEARNING TECHNIQUES FOR HYBRID TEMPORAL-UTILITY CLASSIFICATION DETERMINATIONS | SMITH, KEVIN LEE | 34d |
| 18975137 | SECURE AND AUTONOMOUS DATA ENCRYPTION AND SELECTIVE DE-IDENTIFICATION | JONES, COURTNEY PATRICE | — |
| 18967920 | PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM | HEALY, NOAH MICHAEL | — |
| 18211988 | APPLICATION OF PERSONALIZED SENSOR-BASED RISK PROFILES FOR IMPACTS OF EXTERNAL EVENTS | CHOI, PETER H | — |
| 17663893 | CLASSIFICATION-BASED MACHINE LEARNING FRAMEWORKS TRAINED USING PARTITIONED TRAINING SETS | PHAM, JESSICA THUY | — |
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 |
|---|---|---|---|
| 18189039 | MACHINE LEARNING MODEL TRAINING FOR IMPROVING ANOMALY DETECTION | KAPOOR, DEVAN | 2d overdue |
| 18756923 | Techniques for Dynamic Data Validation | LEE, ANDREW ELDRIDGE | 14d |
| 17578028 | MACHINE LEARNING TECHNIQUES FOR COMPOSITE CLASSIFICATION | STORK, KYLE R | 20d |
| 18309092 | SYSTEMS AND METHODS FOR TRAINING AND LEVERAGING A MULTI-HEADED MACHINE LEARNING MODEL FOR PREDICTIVE ACTIONS IN A COMPLEX PREDICTION DOMAIN | BOSTWICK, SIDNEY VINCENT | 76d |
| 19007307 | LOCAL SENSOR DATA FILTERING AND ANONYMOUS TRACKING FOR MONITORED ENVIRONMENTS | FRAZIER, BRADY W | — |
| 18975137 | SECURE AND AUTONOMOUS DATA ENCRYPTION AND SELECTIVE DE-IDENTIFICATION | JONES, COURTNEY PATRICE | — |
| 18967920 | PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM | HEALY, NOAH MICHAEL | — |
| 18211988 | APPLICATION OF PERSONALIZED SENSOR-BASED RISK PROFILES FOR IMPACTS OF EXTERNAL EVENTS | CHOI, PETER H | — |
| Art Unit | Apps |
|---|---|
| 3648 | 1 |
| 3699 | 1 |
| 3791 | 1 |
| 3684 | 1 |
| 3681 | 1 |
| 2124 | 1 |
| 2126 | 1 |
| 2143 | 1 |
| 2121 | 1 |
| 2128 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19007307 | LOCAL SENSOR DATA FILTERING AND ANONYMOUS TRACKING FOR MONITORED ENVIRONMENTS | FRAZIER, BRADY W | 3648 | §112 | Non-Final OA | — | Pending | Dec 31, 2024 |
| 18975137 | SECURE AND AUTONOMOUS DATA ENCRYPTION AND SELECTIVE DE-IDENTIFICATION | JONES, COURTNEY PATRICE | 3699 | §102§103 | Final Rejection | — | Pending | Dec 10, 2024 |
| 18967920 | PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM | HEALY, NOAH MICHAEL | 3791 | §101§103 | Non-Final OA | — | Pending | Dec 04, 2024 |
| 18756923 | Techniques for Dynamic Data Validation | LEE, ANDREW ELDRIDGE | 3684 | §101§102§103 | Final Rejection | 14d | Pending | Jun 27, 2024 |
| 18211988 | APPLICATION OF PERSONALIZED SENSOR-BASED RISK PROFILES FOR IMPACTS OF EXTERNAL EVENTS | CHOI, PETER H | 3681 | §101§103 | Final Rejection | — | Pending | Jun 20, 2023 |
| 18309092 | SYSTEMS AND METHODS FOR TRAINING AND LEVERAGING A MULTI-HEADED MACHINE LEARNING MODEL FOR PREDICTIVE ACTIONS IN A COMPLEX PREDICTION DOMAIN | BOSTWICK, SIDNEY VINCENT | 2124 | §103 | Non-Final OA | 76d | Pending | Apr 28, 2023 |
| 18189039 | MACHINE LEARNING MODEL TRAINING FOR IMPROVING ANOMALY DETECTION | KAPOOR, DEVAN | 2126 | §103 | Final Rejection | 2d overdue | Pending | Mar 23, 2023 |
| 18172521 | INDIVIDUALIZED CLASSIFICATION THRESHOLDS FOR MACHINE LEARNING MODELS | SPRATT, BEAU D | 2143 | §103 | Non-Final OA | — | Pending | Feb 22, 2023 |
| 17663893 | CLASSIFICATION-BASED MACHINE LEARNING FRAMEWORKS TRAINED USING PARTITIONED TRAINING SETS | PHAM, JESSICA THUY | 2121 | §101§103 | Final Rejection | — | Pending | May 18, 2022 |
| 17578028 | MACHINE LEARNING TECHNIQUES FOR COMPOSITE CLASSIFICATION | STORK, KYLE R | 2128 | §103 | Non-Final OA | 20d | Pending | Jan 18, 2022 |
| 17528001 | MACHINE LEARNING TECHNIQUES FOR HYBRID TEMPORAL-UTILITY CLASSIFICATION DETERMINATIONS | SMITH, KEVIN LEE | 2122 | §101 | Final Rejection | 34d | Pending | Nov 16, 2021 |
| 17486272 | PREDICTIVE ANOMALY DETECTION USING DEFINED INTERACTION LEVEL ANOMALY SCORES | SPRAUL III, VINCENT ANTON | 2129 | §103§112 | Non-Final OA | 32d overdue | Pending | Sep 27, 2021 |
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Start Free TrialUnitedHealth Group Incorporated has 12 pending office actions as of October 2026, spread across 12 art units and 12 examiners.
Brady W Frazier has the most, with 1 of UnitedHealth Group Incorporated's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
