Prosecution Insights
Last updated: August 06, 2026

Alg Intellectual Property | Iqvia

7 pending office actions • 1 client • 7 examiners • 6 art units • 0 of 7 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days

Quality Metrics (n=1945 apps, methodology: how we score firms)

91.9%
Allowance Rate
n=1945
+0.57σ
Allowance Rate (norm)
n=1945
3.4
OAs to Allowance
n=1378
+0.00σ
OAs to Allow (norm)
n=1378
1005 days
Time to Allowance
n=1378
-7.1pp
Interview Lift
n=1945
30.9%
RCE Rate
n=1945
0.8%
Appeal Rate
n=1945

Rejection Performance (% of received rejections ultimately overcome)

71.6%
§101 Overcome
n=194
86.1%
§102 Overcome
n=654
84.4%
§103 Overcome
n=1011
83.4%
§112 Overcome
n=422

Specialization & Scale

H04N, G03B, G02F
Top CPC Subclasses
29%
Top-3 CPC Share
n=1945
6
Practitioners
n=1945
324.2
Apps / Practitioner
n=1945

Portfolio Summary

7
Total Pending OAs
5
Non-Final OAs
2
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

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.

1
Overdue
1
Due this week
1
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. 5 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (1)Due ≤ 7 days (1)Due ≤ 30 days (1)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.

6
Hard (86%)
1
Medium (14%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only2 (29%)
§101 + other4 (57%)
§103 only1 (14%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
14% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
5
Mechanical / Eng
71% of docket
1
Business / Other
14% 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.

70 h
Manual time on pending OAs
14 h
Time saved (low, 20%)
24 h
Time saved (mid, 35%)
0.6 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
PATEL, JAY M 1 64.7% +38.7%
KANAAN, LIZA TONY 1 22.8% +34.1%
REICHERT, RACHELLE LEIGH 1 30.0% +33.7%
MORICE DE VARGAS, SARA JESSICA 1 9.7% +26.1%
TRAN, CHRISTINE M 1 41.1% +23.8%
CHRISTIANSON, SKYLAR LINDSEY 1 58.6% +29.8%
ORR, HENRY W 1 50.6% +36.9%

Hard Cases (6)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.

App #TitleExaminerDue in
18126100 SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS CHRISTIANSON, SKYLAR LINDSEY 15d overdue
18131256 AUTOMATED REGULATORY DECISION-MAKING FOR COMPLIANCE TRAN, CHRISTINE M 6d
18315182 PATIENT FRICTION COEFFICIENT MODEL MORICE DE VARGAS, SARA JESSICA 30d
18883806 SOURCE DATA REVIEW SYSTEM REICHERT, RACHELLE LEIGH 76d
18989609 MACHINE LEARNING TECHNIQUES FOR AUTOMATIC EVALUATION OF CLINICAL TRIAL DATA PATEL, JAY M
18885234 CLINICAL TRIAL OPERATIONAL PLAN GENERATION KANAAN, LIZA TONY

Interview Candidates (7)

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 7 ordered by deadline are shown.

App #TitleExaminerDue in
18126100 SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS CHRISTIANSON, SKYLAR LINDSEY 15d overdue
18131256 AUTOMATED REGULATORY DECISION-MAKING FOR COMPLIANCE TRAN, CHRISTINE M 6d
18315182 PATIENT FRICTION COEFFICIENT MODEL MORICE DE VARGAS, SARA JESSICA 30d
17308415 AI AND ML ASSISTED SYSTEM FOR DETERMINING SITE COMPLIANCE USING SITE VISIT REPORT ORR, HENRY W 42d
18883806 SOURCE DATA REVIEW SYSTEM REICHERT, RACHELLE LEIGH 76d
18989609 MACHINE LEARNING TECHNIQUES FOR AUTOMATIC EVALUATION OF CLINICAL TRIAL DATA PATEL, JAY M
18885234 CLINICAL TRIAL OPERATIONAL PLAN GENERATION KANAAN, LIZA TONY

Client Portfolio (1 client)

Client (Assignee)Pending OAs
Iqvia 7

Top Art Units

Art UnitApps
36831
36861
36811
36951
37921
21721

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
18989609 MACHINE LEARNING TECHNIQUES FOR AUTOMATIC EVALUATION OF CLINICAL TRIAL DATA Iqvia Inc. PATEL, JAY M §101§102 Non-Final OA Pending Dec 20, 2024
18885234 CLINICAL TRIAL OPERATIONAL PLAN GENERATION Iqvia Inc. KANAAN, LIZA TONY 3683 §101§103 Non-Final OA Pending Sep 13, 2024
18883806 SOURCE DATA REVIEW SYSTEM Iqvia Inc. REICHERT, RACHELLE LEIGH 3686 §101 Final Rejection 76d Pending Sep 12, 2024
18315182 PATIENT FRICTION COEFFICIENT MODEL Iqvia Inc. MORICE DE VARGAS, SARA JESSICA 3681 §101§103§112 Non-Final OA 30d Pending May 10, 2023
18131256 AUTOMATED REGULATORY DECISION-MAKING FOR COMPLIANCE Iqvia Inc. TRAN, CHRISTINE M 3695 §101§103 Final Rejection 6d Pending Apr 05, 2023
18126100 SYSTEM AND METHOD FOR CHARACTERIZING, DETECTING AND MONITORING SLEEP DISTURBANCES AND INSOMNIA SYMPTOMS Iqvia Inc. CHRISTIANSON, SKYLAR LINDSEY 3792 §101 Non-Final OA 15d overdue Pending Mar 24, 2023
17308415 AI AND ML ASSISTED SYSTEM FOR DETERMINING SITE COMPLIANCE USING SITE VISIT REPORT Iqvia Inc. ORR, HENRY W 2172 §103 Non-Final OA 42d Pending May 05, 2021

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