Is that an audit in your pocket, or are you just glad to see me? We knew they would be coming. We just weren’t sure how and when audits related to the CMS EHR Incentive Programs would first appear.
We’ve all seen articles, interviews, and blog posts telling hospitals how to be prepared for potential audits of their meaningful use (MU) incentives. “Lessons Learned” and “Best Practices” abound in ...
You might find out something bad and then have to decide what to do. Reasons to do an audit: You can relieve yourself of the nagging doubt of whether your hospital might get audited and whether it ...
A new report from the Office of Department of Health and Human Services, Office of Inspector General (OIG) might not entirely spill the meaningful use apple cart, but it certainly isn't going to make ...
In a letter to Andy Slavitt, acting administrator of CMS, the American Academy of Family Physicians expresses concerns with meaningful use audits, saying the audits cause “undue hardship” for primary ...
CMS’ Office of E-Health Standards and Services has announced that between 5 percent and 10 percent of eligible professionals attesting for meaningful use will be selected to undergo an audit before ...
(HealthDay News) — Given that physicians are chosen for meaningful use (MU) audits at random, the best way to prepare is for a physician to assume they will be audited, according to an article ...
We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
The Medicare Electronic Health Record (EHR) Incentive Payment Program permitted hospitals and physicians to receive incentive payments by submitting attestations of compliance with Stage 1 meaningful ...
A new report from the Office of Department of Health and Human Services, Office of Inspector General (OIG) might not entirely spill the meaningful use apple cart, but it certainly isn't going to make ...
An automated pipeline of frequency representation and machine learning models on raw electronic health record (EHR) audit logs can classify work settings based on clinical work activities. Objectives: ...