Prosecution Insights
Last updated: August 15, 2026

Providence St Joseph Health

7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days

Portfolio Summary

7
Total Pending OAs
3
Non-Final OAs
3
Final Rejections
1
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.

2
Overdue
0
Due this week
2
Due this month
0
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 (2)Due ≤ 30 days (2)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 + other5 (71%)
§103 only1 (14%)
Multi-statute (no §101)1 (14%)

Industry Mix

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

0
Life Sciences
0% of docket
3
Information Tech
43% of docket
2
Communications
29% of docket
0
Semiconductors
0% of docket
2
Mechanical / Eng
29% 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.

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
HANKS, BENJAMIN L 1 21.8% +31.7%
PATEL, SHREYANS A 1 88.6% +8.5%
PEREN, VINCENT ROBERT 1 69.6% +19.5%
BADAWI, ANGIE M 1 59.2% +37.7%
KIM, HEE SOO 1 79.1% -0.5%
DUONG, HIEN LUONGVAN 1 75.0% +22.9%
BARTLEY, KENNETH 1 36.0% +28.8%

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
17950861 OPTIMIZING MESSAGING TO SERVICE PRINCIPALS USING MACHINE LEARNING BARTLEY, KENNETH 18d overdue
18757256 CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE PATEL, SHREYANS A 17d overdue
18763361 IDENTIFYING AND ADVANCING PROGRESS THROUGH ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE BASED ON MONITORING A SPOKEN CONVERSATION HANKS, BENJAMIN L 28d
18311757 AUTOMATICALLY DETECTING ERRORS IN COMPUTER-BASED ANALYTIC METHOD ROUTING OBJECTS BADAWI, ANGIE M 30d
18360698 AUTOMATICALLY GENERATING A VIDEO IN WHICH A PERSON SEES AND HEARS A REPRESENTATION OF THEMSELF DELIVERING A POSITIVE MESSAGE TAILORED TO NEGATIVE FEELINGS THEY ARE PRESENTLY EXPERIENCING PEREN, VINCENT ROBERT
17955296 CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE DUONG, HIEN LUONGVAN

Interview Candidates (5)

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 #TitleExaminerDue in
17950861 OPTIMIZING MESSAGING TO SERVICE PRINCIPALS USING MACHINE LEARNING BARTLEY, KENNETH 18d overdue
18763361 IDENTIFYING AND ADVANCING PROGRESS THROUGH ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE BASED ON MONITORING A SPOKEN CONVERSATION HANKS, BENJAMIN L 28d
18311757 AUTOMATICALLY DETECTING ERRORS IN COMPUTER-BASED ANALYTIC METHOD ROUTING OBJECTS BADAWI, ANGIE M 30d
18360698 AUTOMATICALLY GENERATING A VIDEO IN WHICH A PERSON SEES AND HEARS A REPRESENTATION OF THEMSELF DELIVERING A POSITIVE MESSAGE TAILORED TO NEGATIVE FEELINGS THEY ARE PRESENTLY EXPERIENCING PEREN, VINCENT ROBERT
17955296 CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE DUONG, HIEN LUONGVAN

Top Art Units

Art UnitApps
3684 2
2659 1
2617 1
2179 1
2443 1
2147 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18763361 IDENTIFYING AND ADVANCING PROGRESS THROUGH ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE BASED ON MONITORING A SPOKEN CONVERSATION HANKS, BENJAMIN L 3684 §101§103 Non-Final OA 28d Pending Jul 03, 2024
18757256 CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE PATEL, SHREYANS A 2659 §101§102§103 Non-Final OA 17d overdue Pending Jun 27, 2024
18360698 AUTOMATICALLY GENERATING A VIDEO IN WHICH A PERSON SEES AND HEARS A REPRESENTATION OF THEMSELF DELIVERING A POSITIVE MESSAGE TAILORED TO NEGATIVE FEELINGS THEY ARE PRESENTLY EXPERIENCING PEREN, VINCENT ROBERT 2617 §103§112 Final Rejection Pending Jul 27, 2023
18311757 AUTOMATICALLY DETECTING ERRORS IN COMPUTER-BASED ANALYTIC METHOD ROUTING OBJECTS BADAWI, ANGIE M 2179 §101§102 Non-Final OA 30d Pending May 03, 2023
18182248 USING MACHINE LEARNING TECHNIQUES TO ROUTE CONSUMER INTERACTIONS FROM AN AUTOMATED MODE OF COMMUNICATION TO A SECOND MODE OF COMMUNICATION KIM, HEE SOO 2443 §103 Final Rejection 84d Pending Mar 10, 2023
17955296 CONSTRUCTING AND APPLYING COMPUTER-BASED ANALYTIC METHODS REPRESENTING MEDICAL KNOWLEDGE DUONG, HIEN LUONGVAN 2147 §101§102§103 Non-Final OA Pending Sep 28, 2022
17950861 OPTIMIZING MESSAGING TO SERVICE PRINCIPALS USING MACHINE LEARNING BARTLEY, KENNETH 3684 §101§103§112 Final Rejection 18d overdue Pending Sep 22, 2022

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