Let me get the following statement out of the way before I begin my rant: most people have very little understanding of what IDP is let alone how to go about achieving great performance – and this includes many of the vendors you’re considering. Just sayin’. So now to that supposedly simple form you’re trying […]
Attachment Disorder in Healthcare: Radical Improvement without Radical Disruption
In part one of this article, I covered several aspects that, together conspire to create a process nightmare when it comes to document-based information contained within attachments.
In Healthcare, We’re Dealing with Another Type of Attachment Disorder
Earlier this year, Council for Affordable Quality Healthcare (CAQH) released their 2020 Index which measures the progress of adopting automation for a variety of administrative processes. The upshot is that billions of dollars are being saved by converting manual processes and the data they use into electronic transactions and 2019 increased savings by $20 billion […]
How the Healthcare Documents You Use Affect the Potential for Automation
Within practically any industry, key processes hinge upon access to information and data stored within documents and it is no less in healthcare. Even with significant advancements with EHR/EMR and interoperability, use of documents continues to flourish due to a number of factors including that documents are easy to use, and changing from documents to […]
Fraud and Human Error Impact Health Insurers
Find out how cognitive capture can help eliminate the heavy toll of fraud and human error that impacts health insurers and patients.
Key Factors Driving New “Intelligent Document Processing”
Modern IDP software enables the automation of processes due to key factors including the ability to work in suboptimal conditions discussed here.
2021 Trends for Healthcare Insurance: Interoperability and Data Mining
2021 trends for healthcare insurance explored here including how to mine the wealth of medical data and interoperability using Intelligent Document Processing.
New Machine Learning Software Solves the Most Difficult Healthcare Claims Processing Problems
Bridging the gap between healthcare today and healthcare tomorrow requires machine learning. Find out how ML solves healthcare claims processing problems.