Abstract：With the availability of data,the analytical value of healthcare big data is gradually emerging.However,how to analyse it with the key technologies and related decision support have become the main problems.This paper starts from the “4V” characteristics of healthcare big data,puts forward the specific challenges,and then elaborates the analytical technological process and the new technologies of healthcare big data,recommending of using distributed data system and Hadoop platform to face challenges.In addition,the paper also discusses three kinds of technological analysis about how to obtain insights,namely descriptive,predictive and prescriptive analytics.Finally the paper comments the decision support of big data analytics in healthcare,providing supports to the decisions of accurate medical or prevention, and public health or medical management.
虞铭明, 张迺英, 李月娥. 医疗健康大数据分析的关键技术与决策支持[J]. 中国科技论坛, 2018(11): 53-62.
Yu Mingming, Zhang Naiying, Li Yueer. The Key Technologies and Decision Support of Big Data Analytics in Healthcare. , 2018(11): 53-62.
[1]ALLYSON Brown.The health report of USA .(2012-03-05).The US Department of Health and Human Service:http://www.hhs.gov/. [2]SARAH Fortune.The promise of big data.Harvard Public Health:Spring/Summer,2012. [3]US Department of Health and Human Services.2013-with special feature on prescription drugs .Government Report of US Department of Health,2013. [4]GROVESPeter,KAYYALI Basel,KNOTT David.The‘big data’revolution in healthcare.Center of US Health System Reform Business Technology Office,2013. [5]BIKASH K S.Big data and healthcare data:a survey.International journal of knowledge-based organizations,2017,7(4):50-76. [6]DUGGALReena,KUMAR KHATRI Sunil.Opportunities and challenges of using big data analytics in indian healthcare system .Indian journal of public health research and development,2016(10):153-155. [7]GU Dongxiao,LI Jingjing,LI Xingguo.Visualizing the knowledge structure and evolution of big data research in health .International journal of medical informatics,2017(98):22-32. [8]GALLORO V.Prime numbers.Modern healthcare,2008,38:14-16. [9]MURDOCH T B,DETSKY A S.The inevitable application of big data to health care.The journal of the American medical association,2013,309(13):1351-1352. [10]DEMBOSKY A.Data prescription for better healthcare.Financial times,2012,19-22. [11]DUTTA S,BILBAO O B.The global information technology report-2012.The Business School for the World,2012. [12]智研咨询集团.2015—2020年中国医疗服务业市场分析与发展前景预测报告.(2015-09-30).中国产业信息网:http//www.chyxx.com/. [13]GOSAIN A,CHUGH N.Privacy preservation in big data.International journal of computer applications,2014,1(1):100. [14]GARTNER.Data analytics yearly report .(2014-12-20).Gartner Magic Quadrant 2014:http://www.gartner.com/technology/research/methodologies/research.mq.jsp/. [15]RAGHUPATHI W,RAGHUPATHI V.Big data analytics in healthcare:promise and potential.Health information science and systems,2014,2(1):3. [16]MURDOCH T B,DETSKY A S.The inevitable application of big data to health care.The journal of the American medical association,2013,309(13):1355-1360. [17]PHILIPPS W G,IYER L S,KULKARNI U.Business analytics V rules of thumb .Journal of business research,2015,67(8):1725-1732. [18]WANG Yichuan,HAJLI Nick.Exploring the path to big data analytics success in healthcare.Journal of business research,2017,70(8):1725-1732. [19]KUO A M.Opportunities and challenges of cloud computing to improve healthcare services.Journal of medical internet research,2011,13(3):7. [20]SULTAN N.Making use of cloud computing for healthcare provision opportunities and challenges.International journal of imformation management,2014,34(2):177-184. [21]PEDDI V B,KUHADA P,YASSINE A.An intelligent cloud-based data processing broker for mobile e-health multimedia applications.Future generation computer systems,2017,66:71-86. [22]TOH S,REICHMAN M.Multivariable confounding adjustment in distributed data networks without sharing of patient-level data.Pharmacoepidemiol drug,2013,saf.22:1171-1177. [23]郝雪阳.卫宁健康:大数据与电子病历未来将深度融合,互为一体.(2017-8-16).动脉网:http//www.vcbeat.net. [24]FERAS A,BATERSEH,EYADABDEL L.Assessing the quality of service using big data analytics with application to healthcare .Big data research,2016,4:13-24. [25]JENNIFER R,POPOVIC.Distributed data networks:a blueprint for big data sharing and healthcare analytics.Annals of the New York academy of sciences,2017,1387:105-111. [26]ANTONY B J,SENTHILKUMARN C.Real-time analysis of healthcare using big data analytics.Iop Conference Series.Materials Science and Engineering,2017:263. [27]DELEN D.Real-world data mining:applied business analytics and decision making.FT Press,2014. [28]BARDHAN I,OH J H,ZHENG Z.Predictive analytics for readmission of patients with congestive heart failure.Information systems research,2015,26(1):19-39. [29]BELLE A,THIAGARAJAN R.SOROUSHMEHR S M.Big data analytics in healthcare.BioMed research international,2015,1-16. [30]RIABACKE M,DANIELSON M,EKENBERG L.State-of-the-art prescriptive criteria weight elicitation.Advances in decision sciences,2012,1-24. [31]MOHIT D.Indian health care analysis using big data programming too.Procedia computer science,2016,89:521-527. [32]DUGGAL R,KHATRI S K,SHUKIA B.Improving patient matching:single patient view for clinical decision support using big data analytics .Reliability,Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions):2015 4th International Conference on 2015,Sep 2(pp.1-6).IEEE. [33]吕晖.数据驱动的健康医学.大数据与商务分析研究会第二届学术年会(2017-04-08). [34]SMITH S,KANDEL A.Validation of expert systems.Proceedings of the Third Florida Artificial Intelligence Research Symposium(FLAIRS),1990,pp.197-201. [35]IBM.2016年认知计算业IBM Watson分析报告.(2016-05-09).百度文库网:http://www.wenku.baidu.com. [36]RAGHUNATH N,RUCHIE B.A look at challenges and opportunities of big data analytics in healthcare.2013 IEEE International Conference on Big Data,2013. [37]米歇尔H默森.国际公共卫生.北京:化学工业出版社,2009. [38]庄逸洲,黄崇哲.医疗机构管理制度.上海:上海交通大学出版社,2006. [39]POPOVIC J R.Distributed data networks:a paradigm shift in data sharing and healthcare analytics.Proceedings of the 2015 Pharmaceutical Industry SAS Users Group Conference,Orlando,FL.Accessed November 30,2015. [40]GHOSH B,SCOTT J E.Antecedents and catalysts for developing a healthcare analytic capability.Communications of the association for information systems,2011,29(1):395-410. [41]吴信东,叶明全,胡东辉.普适医疗信息管理与服务的关键技术与挑战.计算机学报,2012,35(5):828-840. [42]MEDINDIA.Fraudulent health insurance claims.(2014-08-07).Medindia:http://www.medindia.net/patients/insurance/fraudulent-health-insurance-claims.htm. [43]REDDY V K,BISWAS M,KELOTH P K.Healthcare fraud management using big data analytics.A Whitepaper by Trend Wise Analytics,2012. [44]ACL.Fraud detection using data analytics in the banking industry.Discussion White Paper,2014.
2018, 
