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ehr onc final certification - Department of Health Care Services

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equirements. The commenter requested that HHS provide assistance to EHR vendors<br />

with revenues <strong>of</strong> less than $1 million in order to help <strong>of</strong>fset the costs <strong>of</strong> the <strong>certification</strong><br />

process.<br />

Response. We appreciate commenters’ recommendations and suggestions related<br />

to our cost analysis. While we understand why some commenters recommended<br />

additional factors for us to consider as part <strong>of</strong> our analysis, we do not believe many <strong>of</strong><br />

those factors are relevant for two primary reasons: 1) we believe that it is improbable that<br />

this rule will result in the outcomes speculated and their associated costs; and 2) the<br />

factors contributing to or causing the increased costs are outside the scope <strong>of</strong> this rule<br />

(e.g., hypothetical business failure and job loss, workflow redesign) and could not be<br />

reasonably or accurately estimated. In this regard, we reiterate what we stated in the<br />

Interim Final Rule related to how costs would be estimated. “This interim <strong>final</strong> rule<br />

estimates the costs commercial vendors, open source developers, and relevant Federal<br />

agencies will incur to prepare Complete EHRs and EHR Modules to be tested and<br />

certified to adopted standards, implementation specifications, and <strong>certification</strong> criteria.<br />

The Medicare and Medicaid EHR Incentive Programs proposed rule estimates the<br />

impacts related to the actions taken by eligible pr<strong>of</strong>essionals or eligible hospitals to<br />

become meaningful users, including purchasing or self-developing Complete EHRs or<br />

EHR Modules. The HIT Certification Programs proposed rule estimates the testing and<br />

<strong>certification</strong> costs for Complete EHRs and EHR Modules.” Accordingly, we disagree<br />

with the commenter who contended that our estimates were too simplistic and linear. We<br />

believe that in the absence <strong>of</strong> any additional data or an alternative model (which no<br />

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