CAVO® DRG Predict Demo
CAVO® DRG Predict Video Series | CAVO Demo Join Advent Health Partners’ Director of Client Success, Shane Mayfield, and Clinical Product Director, Julie Scates, BSN RN, as they introduce and demo CAVO for DRG Predict. This demo will show how CAVO utilizes automation and predictions to benefit the user and their team, leveraging risk scores, […]
Introducing: A Superior Client Experience
The New CAVO Interface Advent Health Partners is excited to unveil the latest release of CAVO®— featuring new, powerful features to enhance the CAVO experience. These features will enable greater flexibility among users, increase the power of individual modules, and use cases facilitating the exact functions and descriptions users need to be successful. This release […]
Five Rules for Successful AI Implementation
Artificial intelligence is complex, but utilizing it 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 […]
Increasing Efficiency of Claims Review Teams
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
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 […]
Proper Reimbursement Payer Policies [Webinar]
When aiming to ensure proper reimbursement for your hospital or health system, many variables are involved to continually refine payer policies to individual chargemasters. In this webinar recorded in partnership with HFMA Region 9, Deborah Horne, Advent Health Partners’ Vice President of Clinical Operations, discusses the current challenges in receiving reimbursement. She walks through a case […]
DRG Validation and an AI Approach to Sepsis
CAVO® DRG Predict Video Series | DRG Validation In this 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 for DRG validation and how to identify sepsis […]
91+% Denial Overturn Rate
How We Achieve Our 91+% Denial Overturn Rate In this 1-minute video, you will discover tips on our strategic appeal process for achieving a 91+% denial overturn rate. With this insight and leveraging clinical and payer expertise, you could enhance your overturn rate to ensure maximum appropriate reimbursement from the payer.
Sepsis Diagnosis: The Impact of Age and Comorbidities
CAVO® DRG Predict Video Series | Sepsis Diagnosis Advent Health Partners Clinical Product Director, Julie Scates, BSN RN, speaks with Clinical Products Specialist Amanda Curran regarding the impacts of age and comorbidity on a sepsis diagnosis. This builds on our discussion in part one about how the differences between sepsis definitions result in variance in […]