Healthcare Analytics

Identify High-value Opportunities for Improvement with Healthcare Data Analysis

Improving Means Doing

What exactly is a high-value opportunity? While the specifics vary from organization to organization—or even within a single network—the general answer is always the same. A high-value opportunity is something that is actionable and will yield significant, measurable results. Healthcare data analysis is only useful when you can do something with it. It may seem like an oversimplification, but if you don't act you don't get results.

Uncover Both Clinical and Financial Opportunities

Performance improvement in healthcare can no longer be separated into just clinical quality upgrades or financial success since the two are so closely wed in a value-based reimbursement environment. So it follows that input and data from both sides of the house are the path to identifying and executing opportunities for improvement. Clinical healthcare data analysis closes the loop between care and cost, creating a transparency between the two like never before.

Prioritize, Succeed, Repeat

Prioritization leads to success. Being awash in data doesn't immediately result in a wealth of actionable knowledge. Early healthcare analytics projects should prioritize work that capitalizes on available resources and is most likely to result in early success and short-term gains. Using data from existing regulatory and reimbursement-based reporting as well as industry-wide patient throughput benchmarks is often a good starting point for many hospitals and healthcare networks.

What Can Data Help Improve?

While every healthcare organization is different, common, valuable improvements driven by healthcare data analysis include:

  • Prevention of readmissions and subsequent financial penalties
  • Increased efficiency in the use of clinical and financial resources through episode analysis
  • Shifting care from expensive inpatient events to more cost-efficient ambulatory settings
  • Improving outcomes from PCPs, skilled nursing facilities, and home healthcare providers
  • Maximizing service line profitability across the care continuum
  • Population health management efficiency gains such as maintaining narrow networks
  • Understanding the value of driving more chronic conditions into care management programs
  • Identification and correction of costly adverse outcomes such as unplanned returns to surgery, returns to critical care, and urinary tract infections

McKesson Solutions Are Designed with Your Needs in Mind

Our solutions are built to deliver the content, data modeling, and subject-matter knowledge hospitals and healthcare networks need to tackle their healthcare big data challenges. They underscore the need for:

  • User-friendly health data visualization
  • Speed and ease of use, while also remaining scalable across even the largest enterprise
  • Self-service accessibility for all relevant staff and stakeholders
  • Data governance in healthcare to establish controls around the source of data analytics truth
  • Population health management and Accountable Care Organization functionality

Learn how healthcare analytics software can help your organization take healthcare data analysis to the next level.

Next: Succeed with Value-based Reimbursement Models

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