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Case Study: Saint Luke’s Health System – Tapping the Power of Analytics to Help Boost Clean Claim Rates, Reduce Rejections

Revenue Cycle , RelayHealth Financial , EMR , EHR , Analytics , RelayAsssurance , RelayAnalytics Acuity , Claims management , Claims submission , Denial prevention

As it prepared to transition to a new EMR, Saint Luke’s Health System needed the ability to actively monitor specific revenue cycle KPIs and establish benchmarks to keep revenue on track–both during and after the migration.

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Welcome to October 1st!

ICD-10 , ICD10 , Coding , Oct. 1 , Claims processing , claims management , denial management , reimbursement , RelayHealth , RelayAssurance , RelayClearance , RelayAnalytics , Analytics , Revenue Cycle

Whoever said, “Dates on the calendar are closer than they appear” wasn’t kidding. The oft-delayed, much-covered and highly anticipated ICD-10 deadline has finally arrived.

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Taming the Complexity of Medi-Cal

Claims processing , claims management , denial management , reimbursement , Medi-Cal , Medicaid , RelayHealth , RelayAssurance , RelayAnalytics , Analytics , Revenue Cycle

Most hospitals grapple with generating clean claims, streamlining claims management, and gaining insight into the source of denials. For California healthcare providers, these challenges are heightened by the requirements of Medi-Cal, the state’s publicly-funded Medicaid program. To shed light on some of the processes and tools that can help providers overcome Medi-Cal’s complexity and boost overall revenue cycle performance, RelayHealth Financial offers two new resources.

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News: San Francisco Healthcare Finance Symposium to Explore Latest Revenue Cycle Best Practices and Innovations

McKesson , McKesson Health Solutions , RelayHealth Financial , Revenue Cycle , Revenue Cycle Management , Analytics , ICD-10 , San Francisco , Healthcare , Healthcare Finance

RelayHealth Financial announced the San Francisco Healthcare Finance Symposium, a forum for hospital revenue cycle professionals taking place on May 28, 2015 at the San Francisco Marriott Marquis.

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Leveraging HIMSS 2014 to Connect the Dots in Healthcare Transformation

Posted by $rel.title - $rel.bizTitle on February 20, 2014

HIMSS 2014 , HIMSS14 , McKesson , healthcare analytics , quality reporting , meaningful use

For many organizations, HIMSS planning starts at the close of the previous year’s event —presentation submissions must be coordinated, vendors begin booth and marketing planning. For leaders of hospitals and health systems planning to attend HIMSS14, the anticipation of the pending annual event is probably just beginning to build. As a leader in your healthcare organization, how are you preparing to get the most out of HIMSS14?

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Big Data in Healthcare – Obstacle or Opportunity?

Posted by Anuj Dhingra - Director, Product Management, Enterprise Intelligence, McKesson Connected Care & Analytics on January 14, 2014

healthcare analytics , business intelligence , healthcare big data , big data , Anuj Dhingra

These days, the topic of big data in healthcare is all the rage in healthcare IT conferences, not to mention in boardrooms across the country. But what does big data really mean? What are its applications? And is there truly ROI in big data projects? Let’s start by addressing a few basic questions.

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Mitigating Financial Healthcare Risk During Disruptive Change

Posted by Charlotte Adams - Senior Product Marketing Manager on September 24, 2013

ICD9 , ICD10 , bundled payments , healthcare financial risk management , healthcare revenue cycle management , healthcare analytics

Healthcare finance leaders are facing two major potential disruptors in the next 18 months: the changeover from ICD-9 to ICD-10 and the continued adoption of new pay-for-value models such as bundled payments. These events will have differing impacts on every healthcare provider organization, but mitigating the related financial risk will be a priority for all.

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Revenue Cycle Sophistication in Rural America

Posted by Charlotte Adams - Senior Product Marketing Manager on August 27, 2013

healthcare revenue cycle , revcycle , analytics , Sky Lakes Medical Center

Don’t confuse "rural" with "behind-the-times." Andrew Molatore may be able to teach you a thing or two about the healthcare revenue cycle. Andrew is the director of patient financial services at Sky Lakes Medical Center in Klamath Falls, Oregon. His 176-bed hospital is a well-oiled machine when it comes to financials. They even have patients saying how great they are and "upping the ante" with other nearby facilities when it comes to their billing processes.

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The Need for Speed: Good Samaritan Health System Accelerates Claim Acceptance Rate

Posted by Charlotte Adams - Senior Product Marketing Manager on August 8, 2013

Good Samaritan Health System , healthcare revenue cycle management , revcycle , revenue cycle management , claims management services , hospital revenue cycle management , healthcare analytics , healthcare business intelligence

Good Samaritan Health System in Lebanon County, Pennsylvania, is all about speed. Speed of payment, that is. The path to payment can sometimes be riddled with obstacles both big and small. However, no matter the size, obstacles can cause payment delays.

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Pulse Perspective: New Industry Report Provides Insight into Billing Processes of Hospitals and Payer Reimbursement Velocity

Posted by Traci Detchon - Senior Product Marketing Manager on July 19, 2013

healthcare revenue cycle management , healthcare analytics , healthcare business intelligence , comparative analytics , RelayAnalytics Pulse , hospital revenue cycle management , Pulse Perspective

Hospitals today are faced with rapid industry changes and greater financial pressure. The ability to quickly and efficiently process claims for reimbursement is not only important, it’s critical to their financial success. Issues impacting a hospital’s payment velocity greatly influence their outstanding accounts receivable. At HFMA ANI 2013 this year, we introduced Pulse Perspective – The RevCycle Report to provide an industry view into the speed of payer reimbursement.

 

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