Serial Number
99841111
Owner
Depth Health, Inc.Attorney
POLLIE GAUTSCHFirst Use Date
May 1, 2026
Filing Date
May 22, 2026
DEPTH VELOCITY Trademark
Serial Number: 99841111
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
POLLIE GAUTSCH G&A LEGAL APC
665 San Rodolfo 124-109
Solana Beach, CA 92075
United States
Trademark Details
Filing Date
May 22, 2026
Registration Date
Not Registered
First Use Anywhere
May 1, 2026
First Use in Commerce
May 1, 2026
Goods & Services
Providing temporary use of a non-downloadable web application for retrospective simulation and modeling of hospital patient flow using historical patient-encounter data; Providing temporary use of on-line non-downloadable software for retrospective simulation and modeling of hospital patient flow using historical patient-encounter data; Providing temporary use of a non-downloadable web application for quantification and forecasting of operational KPIs and value-leakage opportunities; real-time detection of congestion and capacity risks across hospital units; acuity-based patient placement recommendations using governance-approved, rules-based clinical placement matrices for hospital patient and bed assignment ; explainable AI-driven decision support for clinical and operational teams; and integration with existing hospital information systems, EHRs, and clinical-intelligence sources; Providing temporary use of on-line non-downloadable software for quantification and forecasting of operational KPIs and value-leakage opportunities; real-time detection of congestion and capacity risks across hospital units; acuity-based patient placement recommendations using governance-approved, rules-based clinical placement matrices for hospital patient and bed assignment ; explainable AI-driven decision support for clinical and operational teams; and integration with existing hospital information systems, EHRs, and clinical-intelligence sources; Software as a service (SAAS) services featuring software for retrospective simulation and modeling of hospital patient flow using historical patient-encounter data; quantification and forecasting of operational KPIs and value-leakage opportunities; real-time detection of congestion and capacity risks across hospital units; acuity-based patient placement recommendations using governance-approved clinical routing rules; explainable AI-driven decision support for clinical and operational teams; and integration with existing hospital information systems, EHRs; Providing temporary use of on-line non-downloadable software for the configuration, monitoring, performance management, and operational support of healthcare software applications deployed on customer-provided servers, in the field of hospital operations and clinical workflow