1. Implement a data governance framework.
2. Engage providers.
3. Foster competition and transparency.
4. Bake analytics into training.
5. Provide for flexibility in information transference.
6. When possible, choose in-house solutions over vendor-generated solutions.
7. Create simple, understandable tools, such as dashboards, for clinicians on the front lines to visualize incoming data.
8. Don’t scale up, scale out.
9. Close the quality loop.
More Articles on Big Data in Healthcare:
3 Questions Hospital Leaders Should Ask When Using Big Data
4 Steps to Activating a Hospital’s Big Data for Population Health Management
The Rise of Big Data in Hospitals: Opportunities Behind the Phenomenon
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