Alternative Payment Models (APM)Merit-Based Incentive Payment System (MIPS)PQRS ReportingQualified Clinical Data Registry ReportingValue ModifierValue-Based Payment Modifier
November 29, 2016

PQRS Homestretch: Finish Line In Sight (But You Haven’t Crossed It Yet)

It’s almost time to bid farewell to PQRS (formerly PQRI), and say hello to the Merit-based Incentive Payment System (MIPS). But PQRS hasn’t ended yet; even when it does, financial implications will not be felt until 2018. Those who do not report PQRS are at risk of being penalized twice, once for PQRS and once for the Value Modifier (VM). Those who do report may earn incentives, penalties or be held neutral, depending on cost and quality results. Ideally, you are already using PQRS as a stepping-stone to succeed in the Quality Payment Program, but even if you haven’t, there…
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PQRS ReportingQualified Clinical Data Registry ReportingValue ModifierValue-Based Health CareValue-Based Payment Modifier
November 22, 2016

Improve MAV Audit Success with Expert Data

There are 198 measures available for PQRS Registry Reporting in 2016—seems like there should be enough options to select the most advantageous measures for providers. Unfortunately, however, that’s not the case. Even though there are a whopping 21 measures that could be skipped for each 1 reported, and twice as many National Quality Strategy (NQS) Domains as needed, not everyone will be able to report on 9 measures across 3 Domains (including a cross-cutting measure!). Why is there difficulty in meeting basic reporting requirements? Because measures do not apply to specialties in equal amounts, nor are they evenly distributed within…
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Registry ScienceResearch
November 15, 2016

Bedside Viewpoint: Why Watson Will Never Know Enough to Replace Your Physician

Every conversation with a patient is an exercise in big data analysis. Your patient’s appearance, changes in mood and expression, and eye contact are data points. The illness narrative is rich in semiotics: pacing, timing, nuances of speech and dialect are influenced by context, background and insight, which, in turn, reflect religion, education, literacy, numeracy, life experiences and peer input. To all this, add personality traits such as recalcitrance, acceptance and personal philosophies. Taking a history generates a wealth of data. Mix in physical findings of variable reliability, laboratory markers of variable specificity, imaging bits and bytes, and you have…
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MACRAMerit-Based Incentive Payment System (MIPS)Qualified Clinical Data Registry ReportingValue ModifierValue-Based Health Care
November 8, 2016

Risky Business: How to Make Risk Adjustment Fair and Accurate for Quality Measurement

No two patients are the same. Some are much sicker than others. Obvious? Yes. But this is the fundamental challenge of quality measurement. As public scrutiny of physician performance intensifies via the CMS Physician Compare website, and as outcome comparisons become ever more crucial to Medicare and private insurance reimbursement strategies, finding a fair and accurate way to adjust for risk is critical. Each patient population has its own challenges. Academic medical centers may get the most difficult cases, but solo practitioners see the entire community, and without the infrastructure available elsewhere. For health care to improve for all patients,…
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