NeuralFrame, Inc., a medical technology company, announced today that it has become a member of the FHIR CodeX Accelerator. CodeX is one of the HL7 FHIR Accelerators and a multi-stakeholder collaborative that leverages HL7 Fast Healthcare Interoperability Resources (FHIR) to create smarter data in the fight against cancer.
Familiar data interoperability challenges innate to the healthcare system create significant barriers to advancing cancer patient care due to the complex nature of the data, systems and number of contributors involved. Cancer patient data is stored in disparate systems, collected with great variability and in multiple formats—hindering access to the high-quality data necessary to make care decisions and understand patient care and outcomes.
CodeX, shorthand for Common Oncology Data Elements eXtensions, comprises oncology leaders and health information technology experts who are working together to accelerate the adoption of HL7® FHIR® as the standard to obtain high-quality, computable data for cancer patient care and research. The core focus for CodeX projects is integrating a standard language for cancer data called mCODE™, or the minimal Common Oncology Data Elements, to support better, safer, faster care, and lower burden and cost.
“We’re thrilled to welcome NeuralFrame to the CodeX community of oncology leaders who are working together to make significant improvements in cancer patient care. Growing a diverse and motivated membership is key to implementing and rigorously testing mCode in ways that will transform targeted cancer workflows in a robust way,” said Steve Bratt, HL7 CodeX Program Manager.
The CodeX Project prioritizes urgent needs across the oncology ecosystem, such as strengthening clinical trial matching for patients and providers, streamlining prior authorization for cancer treatment, and improving data collection and sharing for cancer registries and radiation therapy treatment. The project will also minimize the siloed development and deployment across members and help clinicians and health systems, cancers researchers, and health plans realize improved clinical quality, cost and care management outcomes.
NeuralFrame will work with other CodeX members to achieve low-burden, standardized reporting of cancer data from cancer centers to registries using real-world experience building Knowledge Assistant for Clinical Information (KACI®), a cutting-edge cloud-based system that provides fast, accurate data to fulfill registry requirements and provide clinicians and administrators with the timely information they need to provide outstanding patient care and build their oncology practices.
“Working with the vibrant CodeX community will help us realize our mission to generate better medical data for better patient outcomes more quickly and effectively. We are eager to apply our clinical and technical expertise to advance clinical interoperability in oncology in a standardized, community-led environment,” said Patrick McNeillie MD, NeuralFrame Founder and Chief Information Officer.
There are several ways organizations can join CodeX. Please visit the CodeX Confluence website for more information, to get involved in projects, and to sign-up for Listserv news streams to keep up to date on the latest activities.