Prosecution Insights
Last updated: May 29, 2026

UNITEDHEALTH GROUP, INCORPORATED

11 pending office actions • 10 art units • 10 examiners • 0 of 11 (0%) have an AI response strategy ready • 24 patents granted in the last 365 days

Portfolio Summary

11
Total Pending OAs
5
Non-Final OAs
6
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 11 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

5
Overdue
0
Due this week
4
Due this month
1
Due in next 60 days
1
Due later

Deadline Fire Line

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. 11 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (5)Due ≤ 30 days (4)Due ≤ 60 days (1)Due later (1)

Case Difficulty Mix

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.

2
Hard (18%)
9
Medium (82%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only2 (18%)
§103 only9 (82%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
9
Information Tech
82% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
2
Mechanical / Eng
18% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

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.

110 h
Manual time on pending OAs
22 h
Time saved (low, 20%)
38 h
Time saved (mid, 35%)
1.0 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
LEE, ANDREW ELDRIDGE 2 17.4% +33.0%
WENG, PEI YONG 1 79.5% +23.0%
BOSTWICK, SIDNEY VINCENT 1 51.4% +38.0%
KAPOOR, DEVAN 1 10.0% +16.7%
HADDAD, MAJD MAHER 1 100.0% +0.0%
GARNER, CASEY R 1 70.6% +16.5%
ELLIS, MATTHEW J 1 68.7% +31.7%
STORK, KYLE R 1 63.9% +28.1%
SMITH, KEVIN LEE 1 37.5% +19.3%
SPRAUL III, VINCENT ANTON 1 59.5% +26.7%

Quick Wins (1)

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 #TitleExaminerDue in
18155228 MACHINE LEARNING TRAINING APPROACH FOR A MULTITASK PREDICTIVE DOMAIN HADDAD, MAJD MAHER 20d

Hard Cases (4)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.

App #TitleExaminerDue in
17530241 TRANSFER LEARNING TECHNIQUES FOR USING PREDICTIVE DIAGNOSIS MACHINE LEARNING MODELS TO GENERATE CONSULTATION RECOMMENDATION SCORES LEE, ANDREW ELDRIDGE 111d 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

Interview Candidates (10)

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 #TitleExaminerDue in
17530241 TRANSFER LEARNING TECHNIQUES FOR USING PREDICTIVE DIAGNOSIS MACHINE LEARNING MODELS TO GENERATE CONSULTATION RECOMMENDATION SCORES LEE, ANDREW ELDRIDGE 111d overdue
17486272 PREDICTIVE ANOMALY DETECTION USING DEFINED INTERACTION LEVEL ANOMALY SCORES SPRAUL III, VINCENT ANTON 32d overdue
17987141 MACHINE LEARNING TECHNIQUES FOR PREDICTING CLASSIFICATION PROGRESSION GARNER, CASEY R 16d overdue
18309088 SYSTEMS AND METHODS FOR TRAINING AND LEVERAGING A MULTI-HEADED MACHINE LEARNING MODEL FOR PREDICTIVE ACTIONS IN A COMPLEX PREDICTION DOMAIN WENG, PEI YONG 2d overdue
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
17938575 MACHINE LEARNING TECHNIQUES FOR GENERATING CROSS-TEMPORAL SEARCH RESULT PREDICTION ELLIS, MATTHEW J 26d

Top Art Units

Art UnitApps
3684 2
2141 1
2124 1
2126 1
2125 1
2123 1
2152 1
2128 1
2122 1
2129 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18756923 Techniques for Dynamic Data Validation LEE, ANDREW ELDRIDGE 3684 §103 Non-Final OA 14d Pending Jun 27, 2024
18309088 SYSTEMS AND METHODS FOR TRAINING AND LEVERAGING A MULTI-HEADED MACHINE LEARNING MODEL FOR PREDICTIVE ACTIONS IN A COMPLEX PREDICTION DOMAIN WENG, PEI YONG 2141 §103 Non-Final OA 2d overdue Pending Apr 28, 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 Final Rejection 76d Pending Apr 28, 2023
18189039 MACHINE LEARNING MODEL TRAINING FOR IMPROVING ANOMALY DETECTION KAPOOR, DEVAN 2126 §103 Non-Final OA 2d overdue Pending Mar 23, 2023
18155228 MACHINE LEARNING TRAINING APPROACH FOR A MULTITASK PREDICTIVE DOMAIN HADDAD, MAJD MAHER 2125 §103 Final Rejection 20d Pending Jan 17, 2023
17987141 MACHINE LEARNING TECHNIQUES FOR PREDICTING CLASSIFICATION PROGRESSION GARNER, CASEY R 2123 §103 Final Rejection 16d overdue Pending Nov 15, 2022
17938575 MACHINE LEARNING TECHNIQUES FOR GENERATING CROSS-TEMPORAL SEARCH RESULT PREDICTION ELLIS, MATTHEW J 2152 §103 Non-Final OA 26d Pending Oct 06, 2022
17578028 MACHINE LEARNING TECHNIQUES FOR COMPOSITE CLASSIFICATION STORK, KYLE R 2128 §103 Final Rejection 20d Pending Jan 18, 2022
17530241 TRANSFER LEARNING TECHNIQUES FOR USING PREDICTIVE DIAGNOSIS MACHINE LEARNING MODELS TO GENERATE CONSULTATION RECOMMENDATION SCORES LEE, ANDREW ELDRIDGE 3684 §101 Final Rejection 111d overdue Pending Nov 18, 2021
17528001 MACHINE LEARNING TECHNIQUES FOR HYBRID TEMPORAL-UTILITY CLASSIFICATION DETERMINATIONS SMITH, KEVIN LEE 2122 §101 Non-Final OA 34d Pending Nov 16, 2021
17486272 PREDICTIVE ANOMALY DETECTION USING DEFINED INTERACTION LEVEL ANOMALY SCORES SPRAUL III, VINCENT ANTON 2129 §103 Final Rejection 32d overdue Pending Sep 27, 2021

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