Conducting
Multifaceted Research
to transform patient care

Artificial Intelligence

We develop, test, and validate our AI algorithms with the goal of transforming the structured, semi-structured and unstructured medical record into an analytic resource for improved clinical outcomes.

Ontology Model

We create Ontology models that use AI and data transformation to cross-walk between FHIR, OMOP and proprietary EHR data with the goal of creating a longitudinal structured patient data with whitebox evidence connectivity to source medical record.

Publications

We share our research findings by publishing and presenting at clinical, technological, and health care focused national meetings.

Research Grants

We have been awarded multiple grants and received other support through the NIH/NCI SBIR program. Support from the NIH’s SBIR program allows us to focus on solving the most pressing problems impeding the delivery of optimal, consistent, and equitable oncology care.

Collaborations

We are partnering with academic cancer centers to co-create new innovations through rapid prototyping, joint development, and NIH funded research.

Product Innovation

We conduct quantitative and qualitative evaluations of our user’s experience with Cancer Insights to understand how to create the best workflows and eliminate the ‘death by clicks’ experience.