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Transforming Healthcare with Evidence

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Trusted source for unbiased information on health technologies

Reliable resource for high quality, evidence analyses

Valued partner in the pursuit of clinical transformation

Proven and unbiased asset for policymakers, government agencies, and contractors

Workplace benefit that provides support during disruptive health events


Hayes Highlights

 

NEW White Paper: 11 Questions to Ask When Making Genetic Testing Coverage Decisions

With thousands of genetic tests on the market, patients and their healthcare providers have more tools than ever to detect harmful changes in a person’s genes that might be associated with life-threatening conditions. This latest white paper from Hayes, Inc. highlights issues to consider when deciding whether or not a genetic test is the right option.

 

Using Evidence in a Time of Clinical Transformation

Hospital and health system leaders operate in a changing healthcare environment. Our latest webinar identifies challenges physician leaders face in their clinical-transformation efforts and provides evidence-based solutions that have the potential to improve the quality of care provided to patients and reduce out-of-control healthcare costs.

 

Informed Healthcare Decisions Begin with Evidence

Choosing products and treatments that will reduce the cost of care and lead to better patient outcomes is a daunting process that can be streamlined with the use of evidence. Our white paper explains how.

 

Translating Limited and Inconclusive Evidence about Genetic Tests into Coverage Policy

Reviewing the medical need for genetic tests and writing coverage policies for these complex assays and conditions can be a daunting task. [webinar recording]

 

A Professional’s Guide to the Use and Misuse of Scientific Abstracts

If you rely only on the abstracts that accompany scientific manuscripts or conference proceedings, you may not be getting an accurate picture of the results. We provide a checklist to help professionals quickly identify whether or not a particular abstract contains accurate and complete information that can be used for time-sensitive decision-making.

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