2015 Webinars

    
 

Informatics Connectivity to Enhance Point of Care Testing

Date Published: 12/16/2015
Presenter: David McClintock, MD, Medical Director, Pathology Informatics, University of Chicago Medicine

How Digital Pathology Will Change the Workflow of Surgical Pathology

Date Published: 10/15/2015
Presenter: Liron Pantanowitz, M.D., University of Pittsburgh Medical Center, Department of Pathology

ONC’s Laboratory Results Interface (LRI) and Laboratory Orders Interface (LOI)

Date Published: 10/07/2015
Presenter: Walter H. Henricks, MD, Medical Director, Center for Pathology Informatics, Pathologist, Cleveland Clinic


Digital Pathology Meets Surgical Pathology

Date: Thursday, March 5, 2015, at 1 PM EDT/10 AM PDT
Presenter: Stephen M. Hewitt, MD, PhD, FCAP, FASCP, Clinical Investigator in the Laboratory of Pathology, Center for Cancer Research, National Cancer Institute
 
The nature of diagnostic histopathology has been the deliberate process of advancement in technology to ensure continuity of diagnostic accuracy and information. The converse is true of digital imaging in pathology; it is a disruptive technology that changes how a pathologist interacts with the specimen. Despite the predictions, digital pathology has not changed daily sign-out practice yet. The issue is: how will whole slide imaging change surgical pathology? Replacing microscopes with computers and screens offers little, if any, economic incentive alone. However, enablement of the additional technologic opportunities of digital pathology could change surgical pathology substantially. This presentation will offer particular focus on the following points:
  • Digital pathology is being used for consultation, and has substantial benefits in research applications
  • The success of digital pathology requires additional applications to enable and improve the efficiency of the pathologist
  • Adoption of digital pathology for primary sign-out will be driven by economic factors

10 Years of Direct Access Genetics: What Have We Learned?

Date: Thursday, February 19, 2015, at 12 PM EDT/9 AM PDT
Presenter: Jill Hagenkord, MD, FCAP, Chief Medical Officer of 23andMe

Over the past ten years, direct access genetics has impacted many facets of the healthcare system, playing a critical role in personalized medicine and accelerating research. The journey to make genetic information accessible and affordable for all has not been without challenges. Dr. Jill Hagenkord will discuss the importance of DTC and big data to further medical advancements. This presentation includes:

  • 23andMe: An overview
  • 10 years of research on the impact of DTC genetics
  • Changing the research paradigm
  • Forces influencing a consumer genetics market
  • Looking ahead: the impact of “genetics abundance”

Deploying Analytic Software in Your Lab for Management Support

Date: Tuesday, January 13, 2015, at 12 PM EDT/9 AM PDT

Presenters: Dennis Winsten, MS, FHMIMSS, FCLMA, President, Dennis Winsten & Associated, Inc.
Hal Weiner, MBA, President, Weiner Consulting Services, LLC

With reduced reimbursement, laboratories are under increasing pressure to optimize business practices, improve utilization and cut costs. Business Intelligence is a set of analytic software that provides organized, well-structured and understandable views of laboratory operational and financial data. business intelligence can greatly assist management to better understand their laboratory operations and make well-founded, prudent decisions to meet laboratory objectives. This presentation will describe the characteristics of business intelligence, explain why it is important, provide examples of business intelligence capabilities and offer considerations for system selection and some guidelines for implementation of a business intelligence system in your laboratory. Attendees will be able to:

  • Determine the potential value and benefits of business intelligence software for their laboratory
  • Assess and evaluate the characteristics and capabilities of various business intelligence alternatives
  • Describe the key differentiators in selecting the best fit business intelligence system for their laboratory