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Three Ways Predictive Analytics is Changing Health Outcomes

As the digital health system of the future evolves, the health information ecosystem expands along with it. The robust flow of data is the fuel health systems need to transform quality, safety and performance, informed by data that can be easily exchanged, mobilized and transformed into actionable insights and knowledge that enable people to achieve better health outcomes.
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Three Ways Predictive Analytics is Changing Health Outcomes
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PRESS RELEASE | EFFY Healthcare at Becker's Hospital Review 5th Annual Health IT & Revenue Cycle Conference

EFFY Healthcare at Becker's Hospital Review 5th Annual Health IT & Revenue Cycle Conference, in Chicago October 9-12, 2019, to meet Customers and Partners there and share its vision and solutions on how to Increase Efficiency through Actionable Analytics.
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Transforming the revenue cycle using automation and AI

From denied claims to missed prior authorizations, there are plenty of processes within the revenue cycle that can be time-consuming, cumbersome, and prone to human error. The opportunity to tackle these challenges through artificial intelligence (AI) and automation can be of significant value to a hospital's revenue cycle. Learn with this interactive webinar by HFMA how automation and artificial intelligence can help your organization eliminate denials for no coverage, increase speed of collections, and see ROI up to 200%.
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Why predictive analytics is crucial to next-level revenue cycle performance

As your organization considers its predictive analytics game plan, it’s important to take steps to ensure you are gaining actionable insight.
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PRESS RELEASE | EFFY Healthcare at HFMA ANI 2019 in Orlando, FL

EFFY Healthcare at HFMA ANI 2019 in June 2019, to share its vision and solutions on how to Increase Efficiency through Actionable Analytics, to Improve Revenue Cycle Management, Ensure Clinical & Operational Efficiency.
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HFMA MAGAZINE publishes the success story of using EFFY and RAID Healthcare

Hospital leaders face a common challenge in managing claim denials based on problems with treatment authorizations, which often occur when there has been a deviation in the plan of care. To address such denials, clinical and operational teams are burdened with securing authorizations for the altered treatment plan prompted by changes in the patients’ health status.
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Actionable Data Drives Operational/Clinical Efficiency, Optimizes RCM

Today, healthcare leaders recognize the need to “tune up” operational systems by turning to the unique advantages of real-time data analytics, especially now that increased mergers and acquisitions have left hospitals, hospital systems and Integrated Delivery Networks struggling to retrieve, review and compare data from incompatible platforms. The answer is an efficiency platform that overlays existing systems to help healthcare organizations compare massive amounts of data across their total enterprise, detect exceptions and problems, and guide interventions to improve efficiency that optimizes financial, clinical and operational performance.
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Real-Time Data Analytics Key to Decreasing Denial Rates, Saving Time and Lowering Costs

For hospital and health system leaders, financial challenges pose some of the most insurmountable hurdles, with claim denials a significant contributor. Consider the numbers: annual losses from denial write-offs average 5 percent, and up to 15 to 20 percent of initial denials occur with the first billing. The burden of reworking denials not only impedes the revenue cycle process, but can also compromise care quality.
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Real-time' actionable data analytics help hospitals decrease denial rates

The competitive climate for hospitals is at a fever pitch, with mergers and acquisitions adding further complexities to the marketplace. This is not a time for simply resting on past achievements or a reputation for touting service lines: astute leaders recognize that they must optimize every level of clinical, operational and financial performance in order to capture and retain market share and meet payer/employer demands for value-based care.
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