HomeLatest NewsGovernanceAnalytics helps major public health system run efficient programs and improve patient care

Analytics helps major public health system run efficient programs and improve patient care

The Los Angeles County Department of Health Services relies on advanced analytics from SAS to meet federal regulations, ensure financial viability and better serve a diverse population of more than 10 million people

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The Los Angeles County Department of Health Services relies on advanced analytics from SAS to meet federal regulations, ensure financial viability and better serve a diverse population of more than 10 million people

Like any care system, the Los Angeles County Department of Health Services is bursting at the seams with data ­– both business and health data. Within this raw information often lies hidden insights that can be used to improve patient care, lower costs and make smarter policies. The trick is extracting those insights.

The size and diversity of the LA County DHS make this process even more challenging. As the second-largest municipal health system in the US, the department serves a diverse population of more than 10 million people via 26 health centers, four acute care hospitals and more than 100 community partner clinics.

The department endeavors to provide cost-effective care of the whole person and ensure financial viability, among other goals. But doing so requires a strong analytics capability. Before implementing , data was siloed across the organization, making difficult for clinicians and leaders to extract information to make better decisions. Doing so involved knowing where to find the data, pulling it from multiple systems and analyzing it.

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Furthermore, new federal projects required the department to put certain data capabilities in place to qualify for funding. It had to meet targets and timelines, and track and on more than 50 performance metrics.

Read more here.

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