ArticleBMJ open2019
Using electronic health record data to establish a chronic kidney disease surveillance system in China: protocol for the China Kidney Disease Network (CK-NET)-Yinzhou Study.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Article
- Construction of a public health emergency information system framework: A case study of Zhuhai city, China.PloS one · 2026Article
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- China Kidney Disease Network (CK-NET) 2017-2018 Annual Data Report.Kidney international supplements · 2025Article
- Ningbo Schizophrenia Cohort (NSC)-a longitudinal ambispective cohort based on electronic health records: cohort profile.BMJ open · 2025Observational
- Assessment and recalibration of seventeen lung cancer risk prediction models in approximately one million Chinese population utilising healthcare big data: a retrospective cohort analysis.The Lancet regional health. Western Pacific · 2025Article
- Cost-effectiveness of population-based screening for chronic kidney disease among the general population and adults with diabetes in China: a modelling study.The Lancet regional health. Western Pacific · 2025Article
- Exploring the integration of medical and preventive chronic disease health management in the context of big data.Frontiers in public health · 2025Review
- External Validation of the Kidney Failure Risk Equation Among Urban Community-Based Chinese Patients With CKD.Kidney medicine · 2024Article
- Investigating Nonspecific Effects of the Live-Attenuated Japanese Encephalitis Vaccine on Lower Respiratory Tract Infections in Children Aged 25-35 Months: Retrospective Cohort Study.JMIR public health and surveillance · 2024Article
- Strategies to Improve Long-Term Outcomes for Patients with Chronic Kidney Disease in China.Kidney diseases (Basel, Switzerland) · 2023Review
- Transforming Health Care Through a Learning Health System Approach in the Digital Era: Chronic Kidney Disease Management in China.Health data science · 2023Review
- The effectiveness of influenza vaccine among elderly Chinese: A regression discontinuity design based on Yinzhou regional health information platform.Human vaccines & immunotherapeutics · 2022Article
- Influence of doctors' perception on the diagnostic status of chronic kidney disease: results from 976 409 individuals with electronic health records in China.Clinical kidney journal · 2021Article
- Prevalence, recognition and management of chronic kidney disease in Japan: population-based estimate using a healthcare database with routine health checkup data.Clinical kidney journal · 2021Article
- The Clinical Decision Support System AMPEL for Laboratory Diagnostics: Implementation and Technical Evaluation.JMIR medical informatics · 2021Article
- Chronic disease surveillance in Alberta's tomorrow project using administrative health data.International journal of population data science · 2021Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionChronic kidney disease (CKD) is an important public health problem worldwide. However, there are few active disease surveillance systems for it. The China Kidney Disease Network (CK-NET) was established as a comprehensive surveillance system for CKD using various data sources. As part of this, the proposed CK-NET-Yinzhou study aims to build a regional surveillance system in a developed coastal area in China to obtain detailed dynamic information about kidney disease and to improve the ability to manage the disease effectively. METHODS AND ANALYSIS: Yinzhou is a district of Ningbo city, Zhejiang province. The district has a population of more than 1 million. By 2016, 98% were registered in a regional health information system that started in 2009. This system includes administrative databases containing general demographic characteristics, health check information, inpatient and outpatient electronic medical records, health insurance information, disease surveillance and management information, and death certificates. We will use longitudinal individual electronic health record data to identify people with CKD by repeated laboratory measurements and diagnostic codes. We will also evaluate the associated risk factors, prognosis and disease management. An intelligent clinical decision support system (CDSS) will be developed based on clinical guidelines, domain expert knowledge and real-world data, and will be integrated into the hospital information system. ETHICS AND DISSEMINATION: The CK-NET-Yinzhou study has been reviewed and approved by the Peking University First Hospital Ethics Committee. Privacy of local residents registered with the health information system will be tightly protected through the study process. The findings of the study will be disseminated through peer-reviewed journal articles, posters and presentations in national and international scientific conferences, as well as among local practitioners through the CDSS.
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