Five Rules for Successful AI Implementation

Artificial intelligence is complex, but utilizing within your organization to leverage its benefits doesn’t have to be. Join Advent Health Partners’ resident expert and Chief AI Officer, Dr. Robert Coop, as he explains the concept of artificial intelligence in healthcare and the five rules of AI implementation in an easily understandable way. Why does this […]

2022 CAVO® Client Experience Highlights

Going into 2023, Advent Health Partners remains committed to a high-quality, responsive, in-house client experience team and backs it up with measured proof. Outsourcing can be less client-focused and lead to low client satisfaction, lost productivity, and lost revenue. With a 100% U.S.-based support team, Advent’s clients receive faster and better support since our team […]

Increase IB Review Findings and Savings With CAVO®

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Line-by-line, nurses and coders meticulously review itemized bills during the IB review process in search of findings and savings. This time-consuming review requires focused attention to search through potentially hundreds of pages and thousands of line items. The volume of itemized bills generated daily throughout the healthcare system makes efficient and complete review impossible if […]

Advent Health Partners’ CAVO® Net Promoter Score® Results

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Advent Health Partners is excited to share our Net Promoter Score®, where we asked our clients and partners to discuss their experiences using CAVO® and working with the CAVO support team to streamline their medical claims review processes. With a Net Promoter Score® of 80, Advent blew the average 2022 score for B2B Software & […]

Increase DRG Review Productivity for Your Staff

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Administrative burden is difficult to manage in the DRG review claims process. With millions of patients being treated on a daily basis, the sheer number of medical records is overwhelming. Consider that the vast majority of DRG reviews are still driven by manual review processes, and we have the perfect storm of rising costs, spending […]

Increasing Efficiency of Claims Review Teams

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In 2020, insufficient documentation accounted for 63% of all improper payments, followed by incorrect coding (16%), medical necessity (11%), and no documentation (4%), equating to a $25.74 billion loss of revenue. Knowing and having strict standards for what is required for each scenario will help your organization implement a more efficient claims review process and […]

Medical Record Review: Efficiently Obtaining Medical Records and IBs

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Solving medical record review challenges can be similar to a game of Tetris – you have to manage your resources carefully to productively complete medical records and itemized bill reviews properly. A survey we issued recently asked 450 people what method their team used to obtain medical records and itemized bills. The majority of respondents […]

Implementing Machine Learning and NLP for Review Processes

Machine learning (ML) isn’t just an algorithm that queries information. Machine Learning learns and adapts over time through a data feedback loop. Normal queries require human intervention to capture behavior changes, whereas machine learning recognizes this and makes modifications itself. Natural language processing (NLP) looks for variants in language. For example, myocardial infarction and heart […]

Medication Cost Discrepancies in Healthcare Bill Audits & Reviews

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Drug costs have steadily risen in the United States since the 1980s. Payers are spending upwards of $2 billion on prescription drugs every year, and pharmaceutical billing is becoming more and more important as the price of prescription drugs rises. In the past three years, half of all drugs covered by Medicare have increased above […]

DRG Validation and an AI Approach to Sepsis

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DRG Predict Video Series | Part Three of Four | DRG Validation In part three of this four-part video series, our Principal Scientist Lance Hahn, Ph.D., and our Machine Learning Engineer, Cam Carver, discuss medical record documentation and technology, including machine learning, natural language processing, artificial intelligence, named-entity recognition, and how these technologies are used […]