Table 2.

Themes that emerged from the opportunities for big data in health care.

Themes	Examples	Number of articles (n)	Articles themes appeared in	% of total articles (N=28)
Improve quality of care	Improve efficiency	18	2, 4, 5, 6, 8-13, 18-20, 22-25, 27	64%
	Improve outcomes
	Reduce waste
	Reduce readmissions
	Increased productivity and performance
	Risk reduction
	Process optimization
Managing population health	Managing population health	17	2, 5, 8-10, 12-14, 16, 18-20, 23, 25, 26, 28	61%
Early detection of diseases	Predicting epidemics	17	2, 4, 5, 7-13, 15, 18-20, 23, 24, 28	61%
	Disease monitoring
	Health tracking
	Adopt and track healthier behaviors
	Predicting patient vulnerability
	Improved treatments
Data quality, structure, and accessibility	Large volumes	16	2, 4, 6, 9, 11, 12, 16, 18, 20- 23, 25-28	57%
	Wide variety
	Creating transparency
	High-velocity capture
	Access to primary data
	Reusable data
	Weed out unwanted data
	Open source—free access
Improve decision making	Evidence-based medicine	11	2,-4, 7, 9, 12, 16, 20, 22, 23, 24	39%
	New treatment guidelines
	Accuracy in information
Cost reduction	Inexpensive	10	1, 3, 4, 7, 9, 11, 12, 14, 16, 18	36%
	Reducing health care spending
Patient-centric health care	Empowering patients	8	2, 3, 5, 12, 14, 20, 22, 24	29%
	Patients making informed decisions
	Increased communication
Enhancing personalized medicine	Targeted approach	6	4-6, 24, 25, 28	24%
Globalization	Widely accessible	6	2, 6-8, 10, 20	24%
	Global sharing
	Leveraging knowledge and practices
	Knowledge dissemination
Fraud detection	Fraud detection	3	8, 12, 28	11%
Health-threat detection	Health-threat detection	1	7	4%