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Better quality measures, analytics needed for development of ACO models
This article is part of the Pulse issue of March 2014
This is the first part of a two-part series on accountable care organizations (ACOs). This half covers the continuing development of ACOs and why it's crucial that quality metrics are defined sooner rather than later. The second half of the series dives into how some providers are preparing themselves to transition to an ACO model. Many payers and providers have high hopes for the ongoing, industry-wide transition to pay-for-performance models, but poorly defined quality metrics and a lack of analytics technology adoption could derail these accountable care models before they have a chance to deliver on their promise. "We have a situation that is actually very disappointing," said Allan Goroll, physician at Massachusetts General Hospital and professor of medicine at Harvard Medical School. "We have poor metrics for performance, little work being done on improving those measures and very little attention being paid by payers to more meaningful metrics. Instead we're just doing the quick and dirty." Goroll, who is in favor of the ...
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Features in this issue
From rip-and-replace to business as usual, providers differ in this year's EHR upgrades for ICD-10 support, 2014 ONC certification standards.
Three provider reps go in-depth in sharing how they are readying their clinical and financial systems for ICD-10 and meaningful use stage 2.
Four healthcare systems experts give their best tips on how to prepare for 2014's most challenging regulations: ICD-10 and meaningful use stage 2.
Providers are rapidly transitioning to accountable care models, but without better quality measures, these plans may have limited success.
Quality metrics and patient-focused care are the cornerstones for providers' plans as they switch to the ACO model.
News in this issue
Exclusive preview: A HIMSS analytics health data interoperability report shows HIE participation is stalled on the eve of meaningful use stage 2.
With a focus on health data interoperability, the next wave of EHRs will incorporate powers of big data, speech recognition and new database models.
Columns in this issue
Some chief information officers are replacing their EHRs. Add that to coming regulations and the next few years will be full of health IT compliance.