Perspective Approach Towards Business Intelligence Framework in Healthcare

被引:0
作者
Kavita, Mittal [1 ]
Dubey, S. K. [2 ]
Sharma, B. K. [3 ]
机构
[1] Amity Univ, Amity Inst Informat Technol, Sec 125, Noida, UP, India
[2] Amity Univ, Amity Sch Engn & Technol, Sec 125, Noida, UP, India
[3] Northern India Text Res Assoc, Software Dev Ctr, Comp Sci & Engn Div, Ghaziabad, India
来源
PROGRESS IN ADVANCED COMPUTING AND INTELLIGENT ENGINEERING, VOL 2 | 2018年 / 564卷
关键词
Business Intelligence; BI Healthcare processes; BI Solutions; BI adoption; BI framework; Data mining;
D O I
10.1007/978-981-10-6875-1_40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Healthcare is highly complex industry driven by knowledge with rising cost and increasing demands for healthcare quality services. Healthcare providers are forced to focus on care quality while minimizing the cost through better healthcare resource management. However the abundant data from different sources such as clinical processes, business processes, and operational processes, causing remarkable issues and challenges are not resolved, through traditional technologies. Thus the Healthcare providers in effort to improve care quality and reduce cost are turning towards advanced and flexible IT-enabled business strategies. This paper attempts to illustrate the BI approaches incorporated with data mining techniques appropriate in the healthcare domain to overcome the issues and challenges more efficiently. Here emphasis is given on the main BI healthcare processes, benefits of using BI strategies in terms of efficiency, care quality and patient satisfaction.
引用
收藏
页码:407 / 416
页数:10
相关论文
共 30 条
[1]  
Alexandra R., 2013, INFORM EC, V17
[2]  
[Anonymous], 2014, POW PAT MOB TECHN IS
[3]  
[Anonymous], 2011, J HEALTHCARE INFO MA
[4]  
Ashrafi Noushin, 2014, Interdisciplinary Journal of Information, Knowledge, and Management, V9, P117
[5]  
Bogdan A., 2014, DATABASE SYST J, VV
[6]  
Brooks G. P., 2013, 46 HAW INT C SYST SC
[7]  
Diwani S., 2013, INT J COMPUT ENG RES, V03
[8]  
Doyle M., 2013, GETTING BEST BUSINES
[9]  
Gaddum A., 2012, BUSINESS INTELLIGENC
[10]  
Glancy Fletcher H., 2011, International Journal of Business Intelligence Research, V2, P48, DOI 10.4018/jbir.2011040104