Tag: Healthcare Analytics

5 Ways to Reduce Claims Denial in Your Revenue Cycle

Reduce Claims Denial in Your Revenue Cycle

Claims Denial: Healthcare Leaders report an increase in payer denials, putting increasing pressure on the system’s finances. Going back and forth with denied payers is a long and expensive process, and low reimbursement rates don’t help either. In a new survey conducted by the Healthcare Financial Management Association, CFOs noted a significant increase in denials, […]
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Optimizing Revenue Cycle Management Best Practices and AI Potential

Optimizing Revenue Cycle Management: Best Practices and AI Potential

From the inception to the conclusion of the Revenue Cycle Management (RCM) pipeline, it is imperative for practices to implement enhanced analytics and streamlined workflows. Healthcare providers have grappled with the challenge of receiving proper compensation for their services, and the current reimbursement landscape presents even greater obstacles compared to previous years. Payors are persistently […]
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Optum partners with SSM Health and will employ certain revenue cycle staff

To reduce care variation, SSM and Optum will use clinical technologies, advanced analytic and data-driven insights at the point of care. Certain SSM Health revenue cycle staff and hospital care management will become employees of Optum. They will continue to work in their current locations across Illinois, Missouri, Oklahoma and Wisconsin. WHY THIS MATTERS As […]
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Will Predictive Analytics Find Solution for Healthcare’s Big Data Problem

Improving data analytics in healthcare has potential includes cost savings and improved patient health and wellness. Here are the two ways through which this improvement can be accomplished: Adopt a business analytics strategy that process huge amounts of healthcare data, rather partnering different analytics tools that results in high IT expense and reduced user adoption. […]
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