Precision Oncology Software Environment Interoperable Data Ontologies Network™ is a secure, cloud-based Oncology Insights Engine enabling exploration, analysis, visualization, and collaboration on our patient clinicogenomic data. This platform gives investigators a tool that can be utilized from cohort discovery, preliminary feasibility testing all the way through to drawing patient specific insights.
HALO is an in-house web application developed to support the research work of Dr. Saro Armenian. It is a transplant and CAR-T repository which also has several other functionalities such as automated ingestion of transplant data from Midas, consenting process, pre- and post-transplant data collection and LTFU. The application is in production and is actively used by the study team.
HOPESEQ is an in-house web app developed to help the curation of genomic data from multiple sources like CMDL (COH panel), Invitae, Ashion and more. The application has been upgraded to support multiple teams at the same time. It has a knowledge base which can be used for automated annotation of variants. We are in the process of integrating ‘Common Data Model’ to pull genomic data into HopeSeq for curation. This is expected to be complete by end of 2022.
Hope Genomics is a patient facing application used to provide patients with more information about their genomic test results.
High Performance Research Compute Center Is responsible for supporting campus wide computational needs. This group provides customized research support for high performance computing clusters, and research servers.
Honest Broker provides the honest brokering of clinical data or data on human specimens for research, in compliance with the Health Insurance Portability and Accountability Act (HIPAA), the Common Rule, state laws, and the City of Hope Institutional Review Board (IRB) requirements.
Virtual Biospecimen Management System
LabVantage is City of Hope's Research - Virtual Biospecimen Management System (VBMS). A leader in the field, LabVantage focuses on end-to-end specimen tracking and inventory, allowing for the recording each individual research specimen aliquot throughout the processing workflow, biospecimen annotation, study management, as well as inventory and kit management.
Natural Language Processing (NLP) is employed to abstract clinical information in structured format from unstructured patient documents such as surgical pathology reports, NGS reports, physician notes, radiology documents and other associated documents. NLP is being applied to expedite the abstraction process in disease registries, honest broker project as well as longitudinal bone marrow transplant registry to name a few.
The Registry of Hope serves as the mechanism and infrastructure for collecting and storing health information from patients seen at COH.