The Best Organizational Structure for Healthcare AnalyticsBy John Wadsworth презентация

The Best Organizational Structure for Healthcare Analytics By John Wadsworth

The Best Organizational Structure for Healthcare Analytics Your goal is to build or implement an effective and robust enterprise data warehouse (EDW) for your healthcare organization. But did you realize the success of your goal may hinge upon your healthcare’s organizational structure?

Why You Need Both: An EDW and a Supportive Organizational Structure An EDW integrates data from across your enterprise. In healthcare, for example, you could tie cost accounting data, hospital billing data, clinical data, and patient satisfaction data. Done correctly, this level of integration could help your organization analyze the following scenarios:

Challenges for Traditional Clinical Data Management The challenge healthcare organizations wrestle with today is under-standing the appropriate quid pro quo relationship between IT and data-dependent departments to demonstrate ROI on an EDW investment.

Creating Cross-Functional Teams to Drive Change Through Healthcare Analytics Cross-functional teams will simultaneously improve clinical and financial outcomes and demonstrate ROI. By following this approach, you’ll experience the following advantages:

Creating Cross-Functional Teams to Drive Change Through Healthcare Analytics

The content and analytics team is primarily comprised of data architects and outcome analysts. Under the direction of senior leadership, this team mines data to identify opportunities for improvement. The content and analytics team is primarily comprised of data architects and outcome analysts. Under the direction of senior leadership, this team mines data to identify opportunities for improvement.

Structuring Your Healthcare Analytics Workgroups

Other Clinical Quality Improvement Resources Click to read additional information at www.healthcatalyst.com