Listed by the USPTO as OBEID, MAMON A
Tech Center 3600 • Art Units: 3621 3683 3685 3686 3687 3699
This examiner grants 46% of resolved cases
Mamon A. Obeid is an examiner in Tech Center 3600 and Art Unit 3621. He has 412 resolved cases with an allowance rate of 46.1 percent. The interview lift is 33.1 percent, which indicates an increase in the allowance rate for cases with an interview compared to the 46.1 percent baseline. This suggests that interviews are a productive strategy for advancing applications toward issuance.
The median time to allowance is 1974 days. His top corporate applicants include Siemens Healthineers AG, Fujifilm Corporation, and RESMED Pty Ltd. These companies are often represented by firms such as HARNESS, DICKEY & PIERCE, P.L.C., Harrity & Harrity, LLP \ Qualcomm, and Holland & Hart LLP. The 33.1 percent lift and the 1974 days median pendency provide a statistical basis for managing expectations. Practitioners can use these metrics to develop a data-driven strategy for applications assigned to this examiner.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18416782 | MEDICAL INFORMATION PROCESSING APPARATUS, METHOD FOR OPERATING MEDICAL INFORMATION PROCESSING APPARATUS, AND MEDICAL INFORMATION PROCESSING PROGRAM | Final Rejection | FUJIFILM Corporation |
| 18001631 | SYSTEMS AND METHODS FOR IDENTIFYING INDIVIDUALS WITH A SLEEPING DISORDER AND A DISPOSITION FOR TREATMENT | Final Rejection | ResMed Pty Ltd |
| 18576394 | SYSTEM AND METHOD FOR GENERATING ADAPTIVE SUGGESTIONS FOR PATIENT CARE PLANS | Non-Final OA | KONINKLIJKE PHILIPS N.V. |
| 18394086 | GENERATING RECOMMENDATION INFORMATION BASED AT LEAST IN PART ON USER INTENT | Non-Final OA | QUALCOMM Incorporated |
| 19474385 | DATA ACQUISITION DEVICE | Non-Final OA | NTT DOCOMO, INC. |
| 19311383 | DEVICE AND METHOD FOR ORGAN POSITIONING ASSESSMENT | Non-Final OA | Siemens Healthineers AG |
| 17953532 | AUTOMATED DATA-BASED PROVISION OF A PATIENT-SPECIFIC MEDICAL ACTION RECOMMENDATION | Final Rejection | Siemens Healthcare GmbH |
| 17817472 | MACHINE LEARNING TECHNIQUES FOR GENERATING COHORTS AND PREDICTIVE MODELING BASED THEREOF | Non-Final OA | Optum, Inc. |
| 18618327 | MACHINE LEARNING-BASED SUMMARIZATION AND EVALUATION OF CLINICAL DATA | Non-Final OA | MatrixCare, Inc. |
| 18608028 | AUGMENTED REALITY IN HEALTHCARE COMMUNICATIONS | Final Rejection | Welch Allyn, Inc. |
| 17260094 | BRAIN INJURY MONITORING WITH RECOVERY TRAJECTORY | Non-Final OA | DUKE UNIVERSITY |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy46.1% of resolved applications examined by Mamon A Obeid were allowed (412 resolved cases), compared with 25.4% across Art Unit 3621 over the last five years.
This examiner's interview lift is +33.1 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Mamon A Obeid took 1,974 days on average from filing to allowance.
Mamon A Obeid examines applications in Art Unit 3621 in Tech Center 3600 (Transportation, E-Commerce & Mechanical Systems).
