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  • If compliance is a key priority for your organization, we’ve put together a brief “playbook” of the areas we recommend you explore during your 2017 RISE West Summit trip.

  • Big data. Artificial intelligence. Cognitive computing. Natural language processing. Machine learning. These terms have become the latest buzzwords in healthcare. But what do they mean?

  • Teresa Ross discusses the buzz around compliance in risk adjustment. Find out how technology-enabled solutions can help achieve the utmost compliance in an efficient and effective manner.

  • Vast amounts of clinical data are generated daily, but traditional methods of collecting and making use of it are inadequate. Adam Gronsky explores options for risk-bearing entities to invest in technology-enabled solutions that require minimal maintenance and decrease the need for manual retrieval in this month's post.

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  • Health Fidelity announces the launch of HF360 Compliance, a comprehensive solution for ensuring accurate risk adjustment results and reducing audit risks. The solution can be used by risk adjustment professionals to streamline the validation of diagnoses previously submitted on claims or prior supplemental submissions.

  • Health Fidelity announces the release of HF360 Data Acquisition; a flexible platform that healthcare providers and health plans can use to retrieve medical records and other patient data in the most efficient and cost-effective manner.

  • Health Fidelity announces the release of HF360 Retrospective Risk Adjustment, a combination of technology and services that delivers unprecedented insights, transparency, and control over the entire risk adjustment process from start to end, delivering optimal results at low cost.

  • Risk Analytics helps risk-bearing healthcare organizations improve their financial outcomes by measuring business performance and by optimizing prospective risk capture. ACA plans will now be able to better target prospective risk adjustment initiatives by stratifying opportunities in metal levels and age groups and estimate the potential impact to transfer payments based on outstanding suspected conditions.

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