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Performance Improvements Driven by Data Insights
In today’s value-based care environment, visibility across the continuum is required to identify performance gaps and to create actionable insights that drive improved outcomes. Yet creating a clear, concise and sustainable clinical strategy that connects financial, operational and quality data is enough to make anyone see double. Data is often cited as the key to clarity. But, data is just the beginning of the improvement journey. It can only tell you what’s happening, but it can’t provide insight into why and what to do to get the right outcomes.
It’s when you connect procedure, supply and clinical data that the focus becomes clear. Yet creating a clear, concise and sustainable clinical strategy that connects financial, operational and quality data is enough to make anyone see double.
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Confidence is high among health care industry executives that AI technologies will drive more access and affordable care.
Across the health care industry, providers, payers and other stakeholders have been challenged to reduce costs while improving quality outcomes, the patient experience, and care. Increasingly, artificial intelligence technologies are seen as the solution that will help the industry achieve these goals and move toward a better future.
The healthcare community continues to see a rise in opioid misuse and drug-overdose deaths. In response, public health and healthcare entities have launched awareness campaigns and policy changes in an attempt to curb inappropriate use and prevent addiction. But has the effort to increase public and provider awareness decreased prescription rates? IBM® Watson Health™ conducted two studies to explore this issue.
While the CMS Hospital-Acquired Conditions (HACs) are believed to represent potentially avoidable complications of care, it is evident that many of these adverse outcomes occur each year.
In fiscal year 2016, nearly 28,000 patient safety adverse outcomes across 14 HACs were reported among 20,297,766 civilian inpatients.* The total cost of HACs in terms of days of stay, mortality, and costs of care are a function of the frequency of the adverse outcome and the incremental impact of the HAC on the measure of interest.
Researchers from IBM® Watson Health™ set out to evaluate the incremental consequences of selected inpatient adverse outcomes from selected CMS Hospital-Acquired Conditions (HAC) in terms of mortality, length of stay, and total hospital cost per case using all-payer data from acute care hospitals in the U.S.**
*Federal fiscal year 2016, IBM Projected Inpatient Data Base. **Federal fiscal year 2016, IBM Projected Inpatient Data Base.