August 7, 2017
RAM Technologies, Inc. is pleased to announce the availability of a new report as part of the “Sharing Knowledge to Improve Healthcare Administration” (SKIHA) program. This month, members of the SKIHA program (free registration) are granted complimentary access to the RAM report, How the Internet of Things Will Transform Managed Care.
September 11, 2017
RAM Technologies, Inc. to Provide Clients with Support for Medicare Beneficiary Identifier (MBI) Well in Advance of Mandated Deadline
RAM Technologies, Inc. is pleased to announce their commitment to support the CMS mandated Medicare Beneficiary Identifier (MBI) in the HEALTHsuite® Mercato core administrative processing system. This functionality is scheduled to be released in December 2017, well in advance of the CMS requirement mandate. With this enhancement HEALTHsuite will allow health plans to utilize both the SSN-based HICN and the new MBI to locate a member during the transition period.
September 18, 2017
RAM Technologies to Sponsor and Exhibit at AHIP’s 2017 National Conferences on Medicare, Medicaid and Duals
RAM Technologies, Inc. is proud to sponsor AHIP’s 2017 National Conferences on Medicare, Medicaid & Duals presented by America’s Health Insurance Plans (AHIP). The combined events are being held September 24th – 28th in Washington, DC.
October 3, 2017
New Report from RAM Technologies, Inc.: “Bundled Payments: Insights for Payers to Pave the Way for Success”
Bundled payments, the packaging of all services associated with a single episode of care, is one of the most promising approaches to value-based healthcare. Every indication suggests that bundled care will be critical to the evolution of value-based offerings over the next several years. Now is the time for health plans to seize on this opportunity, to transform the healthcare delivery system so both primary and specialty care can be delivered in a smarter and more cost effective way. This article takes an in-depth look at the latest advancements with a specific focus on special concerns for high-need populations.