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Tag Archives: NovoPath

Newsbytes

September 2022—Do you want to play a role in solving a problem or improving a process in your laboratory via machine learning or artificial intelligence but don’t know where to begin? If so, take some time to learn, listen, share, and, perhaps, have a cup of coffee, says Scott Doyle, PhD, biomedical engineer at the State University of New York at Buffalo.

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Newsbytes

R programming language gains steam in pathology labs April 2020—Among laboratories focused on expanding data analytics, the statistical programming language R has a loyal user base that is steadily growing. “There is a crew of us that are really trying to show the utility of R for laboratories,” says Stephen Master, MD, PhD, chief of the Division of Laboratory Medicine and director of the Michael Palmieri Laboratory for Metabolic and Advanced Diagnostics at Children’s Hospital of Philadelphia.

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Newsbytes

In molecular testing labs, gaps between actual and desirable LIS capabilities
December 2018—Flashback to 2013: Alexis B. Carter, MD, then director of pathology informatics at Emory University Hospital, was contemplating whether other pathology labs nationwide were facing the same challenges managing molecular testing data as she and her colleagues. So she decided to find out. Dr. Carter conducted a survey, and the responses confirmed her suspicions: Most laboratory information systems fall short in providing the infrastructure for complex molecular and genomic testing.

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MediPath selects NovoPath as its AP LIS

Nov. 8, 2018—NovoPath announced that its anatomic pathology software platform has been selected by MediPath as its laboratory information system. “During the thorough selection process, MediPath had an opportunity to survey the capabilities of several vendors,” Sandra Aponte, MD, medical director and lead pathologist for MediPath, said in a statement. “NovoPath’s solution best aligned with MediPath’s needs and offered the ...

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Newsbytes, 11/15

November 2015—Collaborative prepares pilot on managing genomic data in EHRs: As genetic testing travels the path from rare to routine, it simultaneously provides answers and poses problems. One such problem is rooted in the question, How can electronic health record systems organize and display genomic information in a standardized, interoperable format that best supports clinical decision-making?

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