JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2015, Vol. 53 ›› Issue (10): 42-45.doi: 10.6040/j.issn.1671-7554.0.2015.728

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Establishment of clinical database of Alzheimer's disease based on Web in Shandong Province

GE Shujian1,2, LIN Weiwei3, CONG Lin4, ZHANG Tao1, HAN Xiaojuan4, ZHANG Qinghua4, DU Yifeng4   

  1. 1. School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Department of Science and Education, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China;
    3. Department of Statistics and Medical Record Management, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China;
    4. Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China
  • Received:2015-08-03 Online:2015-10-10 Published:2015-10-10

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Abstract: Objective To establish Alzheimer's disease (AD) clinical database in Shandong Province and investigate its applications in the managements of clinical data, imaging data and examination results of AD patients. Methods The database was constructed based on J2EE framework, Oracle 10 g database, Browser/Server(B/S) structure and Java language. Results The clinical data, cognitive assessment, imaging results, biochemical examination results and follow-up information of AD patients were collected according to the following characteristics: AD clinical data standards, ID number and hierarchical management permissions. Based on this, AD outpatient cases database, early AD diagnosis database, AD epidemiological network were established, and AD medical quality monitoring research could be pursued. Conclusion This research can normalize related standards of AD database, formulate scientific and standardized process of early AD diagnosis, eliminate regional AD information islands in different medical institutions, and realize information sharing among all the business.

Key words: Alzheimer's disease, Information sharing, Clinical database, Web technology, Big data

CLC Number: 

  • R741
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