Clinical Insights

mCODE: Improving data sharing to enhance cancer care


 

FROM JCO CLINICAL CANCER INFORMATICS

An initiative designed to improve sharing of patient data may provide “tremendous benefits” in cancer care and research, according to authors of a review article.

Dr. Alan P. Lyss, now retired, was a community-based medical oncologist and clinical researcher for more than 35 years, practicing in St. Louis.

Dr. Alan P. Lyss

The goals of the initiative, called Minimal Common Oncology Data Elements (mCODE), were to identify the data elements in electronic health records that are “essential” for making treatment decisions and create “a standardized computable data format” that would improve the exchange of data across EHRs, according to the mCODE website.

Travis J. Osterman, DO, of Vanderbilt University Medical Center in Nashville, Tenn., and colleagues described the mCODE initiative in a review published in JCO Clinical Cancer Informatics.

At present, commercially available EHRs are poorly designed to support modern oncology workflow, requiring laborious data entry and lacking a common library of oncology-specific discrete data elements. As an example, most EHRs poorly support the needs of precision oncology and clinical genetics, since next-generation sequencing and genetic test results are almost universally reported in PDF files.

In addition, basic, operational oncology data (e.g., cancer staging, adverse event documentation, response to treatment, etc.) are captured in EHRs primarily as an unstructured narrative.

Computable, analytical data are found for only the small percentage of patients in clinical trials. Even then, some degree of manual data abstraction is regularly required.

Interoperability of EHRs between practices and health care institutions is often so poor that the transfer of basic cancer-related information as analyzable data is difficult or even impossible.

Making progress: The 21st Century Cures Act

The American Society of Clinical Oncology has a more than 15-year history of developing oncology data standards. Unfortunately, progress in implementing these standards has been glacially slow. Impediments have included:

  • A lack of conformance with clinical workflows.
  • Failure to test standards on specific-use cases during pilot testing.
  • A focus on data exchange, rather than the practical impediments to data entry.
  • Poor engagement with EHR vendors in distributing clinical information modules with an oncology-specific focus
  • Instability of data interoperability technologies.

The 21st Century Cures Act, which became law in December 2016, mandated improvement in the interoperability of health information through the development of data standards and application programming interfaces.

In early 2020, final rules for implementation required technology vendors to employ application programming interfaces using a single interoperability resource. In addition, payers were required to use the United States Core Data for Interoperability Standard for data exchange. These requirements were intended to provide patients with access to their own health care data “without special effort.”

As a fortunate byproduct, since EHR vendors are required to implement application program interfaces using the Health Level Seven International (HL7) Fast Healthcare Interoperability Resource (FHIR) Specification, the final rules could enable systems like mCODE to be more easily integrated with existing EHRs.

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