AI Powered Business Intelligence for Life Science Leaders: Save Time, Drive Adoption and Scale Faster

whitePaper | May 4, 2023

Presented in the paper is a comprehensive overview of the nuances of revenue cycle management (RCM) and the intricacies of handling it internally in a hard-pushed healthcare setting.

whitePaper | May 16, 2023

The healthcare and life sciences communities have been undergoing a massive digital transformation since the COVID-19 pandemic. Everything from healthcare consumer expectations to government regulations are driving providers, payers, and pharmaceutical organizations to move aggressively toward digital interactions and transactions

whitePaper | January 4, 2023

The Centers for Medicare & Medicaid Services (CMS) relies on data to inform planning and execution of policies that affect more than 170 million individuals enrolled in CMS programs nationwide, including but not limited to Medicare, Medicaid & the Children’s Health Insurance Program (CHIP)

whitePaper | September 23, 2022

The events of recent years, prior to and including the pandemic, have revealed just how greatly the world needs vastly increased amounts of reliable computing power for healthcare organizations to satisfy the total member/patient experience for things like telehealth.

whitePaper | February 5, 2020

The landscape of healthcare revenue appears bleak: costs and expenses are rising, while reimbursements decline. Traditionally, solutions focus on preventative measures, yet costly write-offs remain ever-present. This is especially true with respect to commercial claims, where denials are plentiful and appeals complicated and labor intensive. How, then, can you mitigate loss without straining your resources? One answer is claims appeals through the Federal ERISA process. Through specialization in Federal ERISA Law, the experienced staff of ERISA Recovery can collect on aged claims without undue burden on your systems.

whitePaper | September 23, 2022

Many of the largest healthcare organizations rely on the mainframe to run their businesses and safeguard a wealth of sensitive data, from patient records to billing information, but why is the mainframe the platform of choice for so many?