Implementation best practices: Getting healthcare analytics right

Data and analytics have become increasingly critical to the operation of any successful healthcare organization. And with the advent of healthcare imperatives such as value-based care and population health management, analytics technology has become more important than ever.

Here, four experts in healthcare analytics technology offer their advice and suggestions for healthcare CIOs implementing analytics in their provider organization. These are a variety of best practices for analytics implementation in healthcare.

Best Practices

• Look to stakeholders and required data - Implementing an analytics system first requires outcomes defined by multiple stakeholders that second drives alignment on what data elements are required, said Bradley Hunter, a research director at KLAS Research.
• A shared vision, and AI - In the past decade, new incentives and value-based programs that reward payers and providers for proactively managing the health of members have increased their collaboration and created an even greater need for data and analytics to get the right care to the right patient at the right time.  Start with applications of data and analytics that can show an immediate impact by freeing up time and cost.
• Analysis and collaboration - Conduct a stakeholder analysis of existing conditions so one can best understand how the change management will affect each of the stakeholders.  Furthermore, technology vendors and CIOs should work hand in glove with a clinical sponsor for all new initiatives.

The full Healthcare IT News article can be viewed at this link.