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Data Science Applications in Laboratory Medicine

  • Credit:1.0 ACCENT
  • Duration: 1 hour
  • Date:OCT.6.2022 1:00 p.m. - 02:00 p.m.
  • Level: Intermediate

Price: $0.00

Member Price: $0.00

All webinar times are in Eastern Time except where noted. Convert to your time zone

Register for this live webinar to learn about using laboratory data to improve healthcare delivery and operations. During this hour you will have the opportunity to engage in live Q&A with Drs. Sarah Wheeler and Daniel Holmes. With your registration, you will have access to the recording on demand through October 31, 2023.

DESCRIPTION

The practice of medicine is changing rapidly to include the introduction of automated and algorithmic solutions to clinical and operational challenges. These approaches represent a dramatic improvement over manual paper-based healthcare practices.

In this webinar, Dr. Daniel Holmes will provide examples of data analytics applications in laboratory medicine to demonstrate how laboratory data can be leveraged to improve healthcare delivery and operations. Exploration of data analytic tools, including select applications of machine learning, will be covered to illustrate how they can be utilized to automate manual laboratory processes, develop new quality monitoring and assurance tools, and support clinical/operational decisions. Dr. Holmes will demonstrate how the analysis of laboratory data yields information that is necessary for the evidence-based planning and decision making in the health care system. Moderator Dr. Sarah Wheeler will introduce the topic and facilitate the Q&A with Dr. Holmes.

TARGET AUDIENCE

This activity is designed for physicians, lab supervisors, lab directors (and/or assistant directors), lab managers (supervisory and/or non-supervisory), medical technologists, point-of-care coordinators, fellows, residents, in-training individuals, and other laboratory professionals overseeing/conducting within this topic.

LEARNING OBJECTIVES

At the end of this activity, participants will be able to:

  • Discuss applications of data analytics, data science and artificial intelligence in contemporary laboratory medicine practice.
  • Identify potential applications of data science/analytics to their laboratory.

FACULTY

Moderator

Sarah Wheeler, PhDSarah Wheeler, PhD 
Associate Professor, Department of Pathology, University of Pittsburgh 
Associate Medical Director, Clinical Immunopathology 
Medical Director, Automated Laboratory UPMC Mercy and UPMC Children’s Hospital of Pittsburgh 
University of Pittsburgh Medical Center 
Pittsburgh, PA

 

Speaker

Dr. Daniel HolmesDaniel T. Holmes, MD, FRCPC
Head, Department of Pathology and Laboratory Medicine, Providence Health
Interim Medical Director, British Columbia Provincial Toxicology Laboratory
Clinical Professor, University of British Columbia Department of Pathology and Laboratory Medicine
Vancouver, BC
Canada

DISCLOSURES AND STATEMENT OF INDEPENDENCE

AACC is dedicated to ensuring balance, independence, objectivity, and scientific rigor in all educational activities. All participating planning committee members and faculty are required to disclose to the program audience any financial relationships related to the subject matter of this program. Disclosure information is reviewed in advance in order to manage and resolve any possible conflicts of interest. The intent of this disclosure is to provide participants with information on which they can make their own judgments.

The following faculty reported the following relevant financial relationship(s) during the content development process for this activity:

  • Daniel T. Holmes, MD, FRCPC
    Consultant Fee: Waters
    Grant/Research Support: Sciex

CONTENT VALIDITY

All recommendations involving clinical medicine are based on evidence accepted within the profession of medicine as adequate justification for their indications and contraindications in the care of patients; AND/OR all scientific research referred to or reported in support or justification of a patient care recommendation conforms to generally accepted standards of experimental design, data collection, and analysis.

ACCREDITATION STATEMENT

This activity is approved for 1.0 ACCENT® continuing education credits. Activity ID# 4105. This activity was planned in accordance with ACCENT® Standards and Policies.

SUCCESSFUL COMPLETION STATEMENT

Verification of Participation certificates are provided to registered participants based on completion of the activity, in its entirety, and the activity evaluation. For questions regarding continuing education, please email [email protected].

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