Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues

被引:25
作者
Asche, Carl V. [1 ]
Seal, Brian [2 ]
Kahler, Kristijan H. [3 ]
Oehrlein, Elisabeth M. [4 ]
Baumgartner, Meredith Greer [1 ]
机构
[1] Univ Illinois, Ctr Outcomes Res, Coll Med Peoria, 1 Illini Dr, Peoria, IL 61605 USA
[2] Takeda, Global Hlth Outcomes, Bedford, MA USA
[3] Novartis Pharmaceut, 1 Hlth Plaza, E Hanover, NJ 07936 USA
[4] Univ Maryland, Pharmaceut Heath Serv Res, Baltimore, MD 21201 USA
关键词
QUALITY; IMPROVE;
D O I
10.1007/s40273-017-0513-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Although the analysis of 'big data' holds tremendous potential to improve patient care, there remain significant challenges before it can be realized. Accuracy and completeness of data, linkage of disparate data sources, and access to data are areas that require particular focus. This article discusses these areas and shares strategies to promote progress. Improvement in clinical coding, innovative matching methodologies, and investment in data standardization are potential solutions to data validation and linkage problems. Challenges to data access still require significant attention with data ownership, security needs, and costs representing significant barriers to access.
引用
收藏
页码:759 / 765
页数:7
相关论文
共 34 条
[1]   Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients [J].
Bates, David W. ;
Saria, Suchi ;
Ohno-Machado, Lucila ;
Shah, Anand ;
Escobar, Gabriel .
HEALTH AFFAIRS, 2014, 33 (07) :1123-1131
[2]  
Blobel B., 2015, INT J BIOMED HEALTHC, V3, P75
[3]   Metrics and tools for consistent cohort discovery and financial analyses post-transition to ICD-10-CM [J].
Boyd, Andrew D. ;
Li, Jianrong 'John' ;
Kenost, Colleen ;
Joese, Binoy ;
Yang, Young Min ;
Kalagidis, Olympia A. ;
Zenku, Ilir ;
Saner, Donald ;
Bahroos, Neil ;
Lussier, Yves A. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2015, 22 (03) :730-737
[4]   Health Services Research and Data Linkages: Issues, Methods, and Directions for the Future [J].
Bradley, Cathy J. ;
Penberthy, Lynne ;
Devers, Kelly J. ;
Holden, Debra J. .
HEALTH SERVICES RESEARCH, 2010, 45 (05) :1468-1488
[5]   Confounding Control in Healthcare Database Research Challenges and Potential Approaches [J].
Brookhart, M. Alan ;
Sturmer, Til ;
Glynn, Robert J. ;
Rassen, Jeremy ;
Schneeweiss, Sebastian .
MEDICAL CARE, 2010, 48 (06) :S114-S120
[6]   Distributed Health Data Networks A Practical and Preferred Approach to Multi-Institutional Evaluations of Comparative Effectiveness, Safety, and Quality of Care [J].
Brown, Jeffrey S. ;
Holmes, John H. ;
Shah, Kiran ;
Hall, Ken ;
Lazarus, Ross ;
Platt, Richard .
MEDICAL CARE, 2010, 48 (06) :S45-S51
[7]   The rise of big clinical databases [J].
Cook, J. A. ;
Collins, G. S. .
BRITISH JOURNAL OF SURGERY, 2015, 102 (02) :E93-E101
[8]   What can natural language processing do for clinical decision support? [J].
Demner-Fushman, Dina ;
Chapman, Wendy W. ;
McDonald, Clement J. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2009, 42 (05) :760-772
[9]  
Dusetzina, 2014, LINKING DATA HLTH SE
[10]   Methods for the de-identification of electronic health records for genomic research [J].
El Emam, Khaled .
GENOME MEDICINE, 2011, 3