基于多中心的老年神经退行性疾病临床大数据研究平台的设计
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摘要
针对老年神经退行性疾病临床样本数据分散,缺乏数据共享,以及没有统一的数据标准等现实问题;同时为响应国家政策,健康中国、健康医疗大数据,提出通过构建多中心的老年神经退行性疾病临床大数据研究平台,对该疾病的生理资料、核磁影像和神经心理学量表等临床数据进行一体化管理。采用浏览器/服务器(B/S)架构,采取多中心的管理方案,在获取更多患者数据的同时,也促成临床数据共享。并根据该疾病临床诊治特点,结合当前大数据良好的运用前景,对其临床数据进行数据分析与挖掘。通过构建多中心老年神经退行性疾病临床大数据研究平台,可以有效帮助该疾病临床相关数据的标准化管理,并实现信息共享,促进健康医疗大数据的发展。
Aiming to solve the problems such as scattered clinical sample data of senile neurodegenerative diseases,lack of data sharing,and no unified data standard,and respond to national policy,healthy China,health care big data,a multi-center clinical big data research platform for senile neurodegenerative diseases was proposed to manage clinical data such as physiological data,nuclear magnetic imaging,and neuropsychology scales in an integrated manner. Browser/server( B/S) architecture and multi-center management scheme would enable the sharing of clinical data while acquiring more patient data. According to the characteristics of clinical diagnosis and treatment of senile neurodegenerative diseases,clinical data of senile neurodegenerative diseases would be applied in data analysis and data mining combined with the current good application prospect of big data. it could effectively help the standardized management of clinically relevant data of neurodegenerative diseases and achieve information sharing and promote the development of big data on health care through the construction of multi-center clinical big data research platform for senile neurodegenerative diseases.
Aiming to solve the problems such as scattered clinical sample data of senile neurodegenerative diseases,lack of data sharing,and no unified data standard,and respond to national policy,healthy China,health care big data,a multi-center clinical big data research platform for senile neurodegenerative diseases was proposed to manage clinical data such as physiological data,nuclear magnetic imaging,and neuropsychology scales in an integrated manner. Browser/server( B/S) architecture and multi-center management scheme would enable the sharing of clinical data while acquiring more patient data. According to the characteristics of clinical diagnosis and treatment of senile neurodegenerative diseases,clinical data of senile neurodegenerative diseases would be applied in data analysis and data mining combined with the current good application prospect of big data. it could effectively help the standardized management of clinically relevant data of neurodegenerative diseases and achieve information sharing and promote the development of big data on health care through the construction of multi-center clinical big data research platform for senile neurodegenerative diseases.
引文
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[2]李光辉,李岩.哺乳动物雷帕霉素靶蛋白与神经退行性疾病[J].实用预防医学,2018,25(3):381-385.
[3]刘月华,娄季宇,白宏英,等.阿尔茨海默病危险因素分析及预防[J].中国实用神经疾病杂志,2015,18(12):36-37.
[4]林炜炜.阿尔茨海默病精准医学大数据研究平台的建设与应用[D].济南:山东大学,2016.
[5]殷亦超,徐铖斌,刘珉,等.研究型医院临床大数据研究平台的建设[J].上海中医药杂志,2016,50(增刊1):5-7.
[6]陈敏,余涛,王淑,等.基于儿童感染性疾病临床应用的大数据知识库平台设计[J].中国医疗器械杂志,2016,40(1):38-40.
[7]Yoshizawa H,Vonsattel J P,Honig L S.Presenting neuropsychological testing profile of autopsy-confirmed frontotemporal lobar degeneration[J].Dement Geriatr Cogn Disord,2013,36(5-6):279-289.
[8]Snyder P J,Jackson C E,Petersen R C,et al.Assessment of cognition in mild cognitive impairment:A comparative study[J].Alzheimer's&Dementia,2011,7(3):338-355.
[9]Tierney M C,Naglie G,Upshur R,et al.Feasibility and validity of the self-administered computerized assessment of mild cognitive impairment with older primary care patients[J].Alzheimer Dis Assoc Disord,2014,28(4):311-319.
[10]高旭,王海峰,王燕,等.基于浏览器/服务器架构的前列腺癌数据库的构建和临床应用[J].中华泌尿外科杂志,2015,36(9):694-698.
[11]鄂琪敏,刘加林,黎勇,等.基于Web的一体化喉癌临床数据库的构建及应用[J].临床耳鼻喉头颈外科杂志,2014,28(15):1 181-1 184.
[12]蒋宁,周文霞,张永祥.疾病特异性诱导多能干细胞:神经退行性疾病研究和临床治疗的有力工具[J].国际药学研究杂志,2016,43(2):183-190.
[13]葛树建,林炜炜,丛琳,等.基于Web构建山东省阿尔茨海默病临床数据库[J].山东大学学报(医学版),2015,53(10):42-45,50.
[14]Sandmeier B,Jger V K,Nagy G,et al.Autopsy versus clinical findings in patients with systemic sclerosis in a case series from patients of the EUSTAR database[J].Clin Exp Rheumatol,2015,91(4):75-79.
[15]Mosnier A,Caini S,Daviaud I,et al.Clinical characteristics are similar across type A and B influenza virus infections[J].PLo S One,2015,10(9):612-615.
[16]Lee H,Chapiro J,Schernthaner R,et al.How I do it:a practical database management system to assist clinical research teams with data collection,organization,and reporting[J].Acad Radiol,2015,22(4):527-533.
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[18]金涛,王恺.我国疾病数据库的建设情况概述[J].现代预防医学,2018,45(6):1 114-1 117.
[19]王晔,王崇,王晓玲,等.多中心临床数据的快速检索系统[J].计算机研究与发展,2010,47(增刊):499-503.
[20]黄婷婷,刘加林,黎勇,等.基于web肿瘤数据库应用的系统评价[J].生物医学工程学杂志,2013,30(5):946-951.
[21]任思冲,周海琴,彭萍.大数据挖掘促进精准医学发展[J].国际检验医学杂志,2015,36(23):3 499-3 501.
[22]夏新,刘博,王珏,等.大数据分析在医院医保管理中的应用研究[J].中国数字医学,2017,12(1):9-11.
[23]Ashley L,Jones H,Thomas J,et al.Integrating cancer survivors experiences into UK cancer registries:design and development of the e POCS system(electronic Patient-reported Outcomes from cancer Survivors)[J].Br J Cancer,2011,105(Suppl 1):S74-S81.
[24]Sherman S,Shats O,Ketcham M A,et al.PCCR:pancreatic cancer collaborative registry[J].Cancer Inform,2011,23(10):83-91.
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