CDISC Teams Up with Microsoft to Develop Open-Source Software for the Clinical Research Community

CDISC is teaming up with Microsoft to develop the CDISC Open Rules Engine (CORE), open-source software that executes machine-readable CDISC Conformance Rules. The global clinical research community will be able to leverage the CORE software to test study data for conformance to CDISC standards as well as regulatory and sponsor-specific conformance rule sets.

CDISC Conformance Rules as well as regulatory agency rules provide a critical quality check in ensuring study data conform to CDISC standards. An emerging industry best practice is to use Conformance Rules on an ongoing basis, throughout the study, to keep the data as close to submission ready as possible and to ensure quality in all data exchange scenarios. The free and open, Microsoft Azure-based CORE will execute Conformance Rules retrieved from the CDISC Library against standardized clinical research data and produce a report detailing the findings, which will allow researchers to receive, process, and review study data more efficiently and effectively.

"We are excited to work with Microsoft on another important initiative that extends our current work in support of standards-based process automation," said Sam Hume, CDISC VP, Data Science. "We look forward to building a community around CORE that will collaborate to create new innovative features and solutions."

"Microsoft is pleased to expand our work with CDISC to build the next generation CDISC Open Source Rules Engine to support Pharma Industry's digital transformation goals and ultimately accelerate time to market for life saving therapies." - Patty Obermaier, VP of Health and Life Sciences, Microsoft US.

To support and grow a community of open-source software developers, CDISC has initiated the CDISC Open Source Alliance (COSA). Several CDISC member organizations as well as individual developers have already committed to participate in COSA. Microsoft will provide ongoing guidance. Once released, CORE will become a COSA project supported by a global team of open-source developers and CDISC. A key component of COSA is community development.

CDISC collaborated with Microsoft on the Azure-based CDISC Library and CDISC 360, two projects that support standards-based process automation throughout the clinical research data lifecycle.

About CDISC

CDISC creates clarity in clinical research by convening a global community to develop and advance data standards of the highest quality. Required by the United States Food and Drug Administration (FDA) and Japan’s Pharmaceuticals and Medical Devices Agency (PMDA), recommended by the China National Medical Products Administration (NMPA) and adopted by the world's leading research organizations, CDISC standards enable the accessibility, interoperability, and reusability of data. With the help of CDISC standards, the entire research community can maximize the value of data for more efficient and meaningful research that has invaluable impact on global health. CDISC is a 501(c)(3) global nonprofit charitable organization with administrative offices in Austin, Texas, with hundreds of employees, volunteers, and member organizations around the world.

Most Popular Now

European Artificial Intelligence Act Com…

The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used...

Patient Safety must be Central to the De…

An EPR system brings together different patient information in one place, making it easier to access for healthcare professionals. This information can include patients' own notes, test results, observations by...

Generative AI can Not yet Reliably Read …

It may someday be possible to use Large Language Models (LLM) to automatically read clinical notes in medical records and reliably and efficiently extract relevant information to support patient care...

ChatGPT Shows Promise in Answering Patie…

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®...

Survey: Most Americans Comfortable with …

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by...

AI can Help Rule out Abnormal Pathology …

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a...

What Does the EU's Recent AI Act Me…

The European Union's law on artificial intelligence came into force on 1 August. The new AI Act essentially regulates what artificial intelligence can and cannot do in the EU. A...

AI Spots Cancer and Viral Infections at …

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute)...

Video Gaming Improves Mental Well-Being

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the...

New Diabetes Research Links Blood Glucos…

As part of its ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes, Klick Labs published a new study in Scientific Reports - confirming...

New AI Software could Make Diagnosing De…

Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not...

Machine learning helps identify rheumato…

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to...