Skip to main content

Financial/Revenue Cycle Management

By Nathan Eddy | 11:19 am | April 09, 2019
Companies will create a software suite to improve accuracy of operational decisions.
By Mike Miliard | 03:49 pm | April 05, 2019
More than 60 percent of payers and providers say they plan to increase their analytics budgets by 15 percent or more, according to a new report from the Society of Actuaries.
By HIMSS TV | 09:38 am | April 01, 2019
Jay Spence, vice president of healthcare solutions at Kaufman Hall's software division, says providers need a now, near and far paradigm to link strategy to a financial plan.
By Mike Miliard | 03:21 pm | March 22, 2019
A new report from Chilmark Research finds more health systems broadening their applications of data tools and putting them to work for initiatives beyond value-based care.
By Bill Siwicki | 01:09 pm | March 15, 2019
After using the system for its 2017 reporting, Grandview achieved a MIPS score of 96.27 – earning 81.27 points in the Quality Performance category and 15 points in the Improvement Activities category.
By HIMSS TV | 06:01 pm | March 14, 2019
Revenue cycle management, patient and physician engagement, business intelligence and analytics, pop health and a clinically oriented supply chain are key pieces to patient-centered care, says KLAS VP of Business Development Doug Tolley.
By Healthcare IT News | 02:03 pm | March 08, 2019
The deadline to submit a speaking proposal for the HIMSS Machine Learning & AI for Healthcare event is 5 p.m. on Monday, March 18. The event will be held in Boston on June 13-14. Event Overview: The influence of machine learning and artificial Intelligence is being felt throughout healthcare, but with it come big challenges with technology, terminology, domain expertise, and, perhaps most daunting, how to introduce this transformative tool into existing clinician workflows. Topics of interest and who can submit: This event presents peer-to-peer education and will look at the state of ML & AI in healthcare and separate what’s hype from what’s really happening in the field. Speakers will share success stories, lessons learned, and discuss challenges. We are particularly interested in how hospitals and health systems have implemented machine learning and AI to improve care, control costs, and drive operational efficiencies – in short, to transform healthcare to a better, more patient-centric and sustainable system. We also value submissions from other healthcare providers and payer organizations, academic institutes, and government agencies. We want sessions that share practical tips and actionable insights that our attendees from healthcare organizations can use to meet clinical and operational goals. Click here for more information and to submit a speaking proposal.