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. 2016 Nov 21;4(4):e38. doi: 10.2196/medinform.5359

Table 1.

Themes associated with challenges for big data in health care.

Themes Examples Number of articles
(n)
Articles themes appeared in % of total articles
(N=28)
Data structure Fragmented data 17 1, 2, 7-9, 12, 14-19, 22, 25-28 61%
Incompatible formats
Heterogeneous data  
Raw and unstructured datasets  
Large volumes  
High variety and velocity  
Lack of transparency  
Security Privacy 14 2, 4, 7-9, 12, 13, 17, 21, 22, 25-28 50%
Confidentiality
Data duplication
Integrity
Data standardization Limited Interoperability 11 4, 5, 7-9, 11, 12, 15, 16, 22, 25 39%
Data acquisition and cleansing
Global sharing
Terminology
Language barriers
Storage and transfers Expensive to store 8 1, 4, 7, 12, 22, 26, 28 28%
Transfer from one place to other
Store electronic data
Securely extract, transmit, and process
Managerial issues Governance issues 4 2, 8, 14, 22 14%
Ownership issues
Lack of skill Untrained workers 3 5, 9, 14 11%
Inaccuracies Inconsistences 1 9 4%
Lack of precision
Data timeliness
Regulatory compliance Legal concerns 1 13 4%
Real-time analytics Real-time analytics 1 9 4%