PROPHESEE

Serial Number 98790092
641

Registration Progress

Application Filed
Oct 8, 2024
Under Examination
Approved for Publication
Published for Opposition
Registered

Attorney Assistance

Non-Final Action E-Mailed
Due: Jul 29, 2025 21 days

Basic Information

Serial Number
98790092
Deadline
July 29, 2025
Description
Respond to Non-Final Office Action
Filing Date
October 8, 2024
Drawing Code
4

Status Summary

Current Status
Active
Status Code
641
Status Date
Apr 29, 2025
Application
Pending
Classes
035 042

Rights Holder

CCS Medical, Inc.

03
Address
3030 LBJ Freeway, Suite 1525
Dallas, TX 75234

Ownership History

CCS Medical, Inc.

Original Applicant
03
Dallas, TX

Legal Representation

Attorney
Norm J. Rich

USPTO Deadlines

Next Renewal Deadline
21 days remaining
Non-Final Action E-Mailed
Due Date
July 29, 2025
Extension Available
Until October 29, 2025
Additional deadlines exist. Contact your attorney for complete deadline information.

Application History

8 events
Date Code Type Description
Jun 3, 2025 XELG O APPLICATION EXTENSION GRANTED/RECEIPT PROVIDED
Jun 3, 2025 XELR I APPLICATION EXTENSION TO RESPONSE PERIOD - RECEIVED
Apr 29, 2025 CNRT R NON-FINAL ACTION WRITTEN
Apr 29, 2025 GNRT F NON-FINAL ACTION E-MAILED
Apr 29, 2025 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED
Apr 11, 2025 DOCK D ASSIGNED TO EXAMINER
Apr 10, 2025 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Oct 8, 2024 NWAP I NEW APPLICATION ENTERED

Detailed Classifications

Class 035
Business and management consulting in the health care field, namely, providing chronic care management services, utilizing artificial intelligence, machine learning and other predictive data analytic techniques to health insurance companies, self-insured employer groups, and other healthcare organizations for the purposes of patient evaluation, risk stratification, care and therapy coordination and management, projecting and managing health care and therapy utilization and costs, developing interventions to help patients continue with prescribed care and therapy, and improve outcomes and manage financial risk across a provider network
Class 042
Software as a service (SaaS) services directed to health insurance companies, self-insured employer groups and other healthcare organizations featuring predictive analytics software utilizing artificial intelligence and machine learning for use in utilizing patient data to predict compliance with therapy, projecting and managing health care and therapy utilization and costs, stratifying risk of patient non-compliance, developing interventions to help patients continue with prescribed care and therapy, and to help manage patient outcomes and financial risk across a provider network

Classification

International Classes
035 042