CS (CEO Jeon Young-ha), a data quality certification agency, announced that it had granted the highest data quality (DQ) content certification (Complex-Type Class A) and management system certification level 4 to Hallym University Medical Center (Director Kim Yong-seon).
DQ certification is a system implemented by the Ministry of Science and ICT based on Article 20 of the Data Industry Act, and certification items include content certification and management system certification. CS Executive Director Seung-Hoon Lee, who oversaw the review, said, “Hallym University Medical Center is the first to obtain DQ certification in two events at the same time.”
The data subject to DQ content certification are the cancer baseline database and colon cancer library collected by Hallym University Medical Center through five affiliated hospitals (Sacred Heart Hospital, Gangnam Sacred Heart Hospital, Chuncheon Sacred Heart Hospital, Hangang Sacred Heart Hospital, and Dongtan Sacred Heart Hospital). Even though the data size is enormous, approximately 1.45 billion items, the matching rate exceeds 99% and received Class A certification. The target of DQ management system certification is ’HERO’, a data lake cloud platform developed and operated by Hallym University Medical Center in 2022, and the certification level is level 4. Hallym University Medical Center is participating in the ‘Medical Data-Centered Hospital Support Project’ and the ‘K-CURE Clinical Data Network Construction Project’ to connect disconnected and fragmented data accumulated in medical institutions across the country. Seo Young-gyun, director of the Big Data Center at the Didim Research Center at Hallym University Medical Center, said, “Big data is now a necessity, not an option, in medicine, and quality is more important than data size.” It was announced that the data quality management system will continue to be upgraded to increase the value of big data analysis.
The construction of the K-CURE clinical data network, which received this DQ certification, is a project hosted by the National Cancer Center starting in 2022. In order to create an open data utilization research ecosystem, we are standardizing public and clinical data for 10 cancer types by cancer type to build high-quality private-public linked data. The ‘K-CURE Baseline Database and Cancer Library’ built by Hallym University Medical Center and others is key data that will become thecornerstone of cancer-related research in the future when combined with the public cancer library.
Choi Yong-seok, Donga.com reporter [email protected]
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Interview between Time.news Editor and Expert on Data Quality Certification
Time.news Editor: Good morning! Today, we’re diving into an exciting development in the field of medical data management. We’ve witnessed a significant achievement by Hallym University Medical Center, which recently received the highest data quality certification from CS. With us today is Dr. Seo Young-gyun, the Director of the Big Data Center at the Didim Research Center of Hallym University Medical Center. Thank you for joining us, Dr. Seo!
Dr. Seo Young-gyun: Good morning! Thank you for having me. It’s a pleasure to discuss this milestone.
Editor: Let’s start with the basics. Can you explain what data quality certification is and why it’s important in the medical field?
Dr. Seo: Absolutely. Data quality certification is a systematic process overseen by the Ministry of Science and ICT, aimed at ensuring that data used in medical settings meets high standards of quality. This is crucial because, in medicine, the accuracy and reliability of data can directly affect patient care and outcomes. High-quality data leads to better analyses, more informed decisions, and ultimately, improved health services.
Editor: Hallym University Medical Center achieved both DQ content certification and management system certification, which is quite unprecedented. What do these certifications signify for your institution?
Dr. Seo: Correct, we are indeed the first to obtain both certifications simultaneously. The DQ content certification we received focuses on the quality of our cancer baseline database and colon cancer library. This dataset, composed of approximately 1.45 billion items collected from five affiliated hospitals, boasts a matching rate of over 99%. The management system certification is for our ‘HERO’ data lake cloud platform, which we developed to streamline data processes. Collectively, these certifications affirm our commitment to data integrity and its critical role in advancing medical research and patient care.
Editor: That’s impressive! How do certifications like these enhance your participation in larger initiatives like the K-CURE Clinical Data Network?
Dr. Seo: The K-CURE project is about building a robust clinical data network to unify fragmented medical data across institutions in Korea. With our DQ certifications, we can assure stakeholders that the data we contribute is not only vast but also of the highest quality. This assurance fosters trust and collaboration among institutions, facilitating an open data utilization ecosystem that can drive cancer research and enhance treatments.
Editor: You mentioned that big data is becoming a necessity in medicine. Why is data quality considered more critical than the sheer volume of data?
Dr. Seo: Quality trumps quantity in the medical field because poor-quality data can lead to misdiagnoses, inappropriate treatments, and overall inefficiencies in healthcare delivery. While having a large amount of data can be beneficial, if that data isn’t accurate or reliable, it can do more harm than good. Our approach prioritizes rigorous quality management to ensure that our analyses provide meaningful insights that can significantly impact patient care.
Editor: It’s evident that Hallym University Medical Center is at the forefront of harnessing the power of data in healthcare. What future advancements can we expect in your data quality management system?
Dr. Seo: We are committed to continuously upgrading our data quality management systems to enhance the value of big data in analysis. This includes ongoing training for our staff, implementing the latest technologies, and adapting to new research needs as they arise. Our goal is to ensure that we remain a leader in effective data utilization that drives medical innovation.
Editor: Thank you, Dr. Seo, for sharing such valuable insights! It’s encouraging to see how data quality can profoundly impact the healthcare landscape. We look forward to following your success in advancing data practices in medicine.
Dr. Seo: Thank you! It’s been great to discuss these important topics. I appreciate your time and interest in our work.
Editor: And to our readers, stay tuned for more updates on advancements in healthcare and technology!