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Implementation of a Clinical Trial Matching System

Implementation of a Clinical Trial Matching System

Implementation of a Clinical Trial Matching System

Tufia Haddad, MD
Tufia Haddad, MD
on behalf of Healthcare Information and Management Systems Society

$30.00 $ 30.00 $ 30.00

$30.00 $ 30.00 $ 30.00

$ 30.00 $ 30.00 $ 30.00
$ 30.00 $ 30.00 $ 30.00
Normal Price: $30.00 $30.00

Review:

Launch date: 14 Jun 2018
Expiry Date:

Last updated: 23 Aug 2018

Reference: 189913

This course is no longer available

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Course Availability

This course is only available to trainees days after purchase. It would need to be repurchased by the trainee if not completed in the allotted time period. This course is no longer available. You will need to repurchase if you wish to take the course again.

Description

This session will describe how an academic institution leveraged an IT solution to transform the clinical trial matching process for patients with cancer. Since the development and implementation of the clinical trial matching cognitive computing solution into the breast cancer oncology practice, clinical trial enrollment to systemic therapy clinical trials has increased by 80%. The time to screen an individual patient for clinical trial matches with the system has also decreased over time. Initial clinical adoption of the technology by healthcare providers was low, but after re-engineering of the operational workflow utilization of the cognitive system was successful. Other challenges and lessons learned will be described.

Objectives

Describe how a cognitive system was developed and trained to address contemporary barriers to enrolling patients to clinical trials
On completion of this course, the learner will be able to describe how a cognitive system was developed and trained to address contemporary barriers to enrolling patients to clinical trials.
Evaluate qualitative and quantitative metrics following implementation of the clinical trial matching solution
On completion of this course, the learner will be able to evaluate qualitative and quantitative metrics following implementation of the clinical trial matching solution.
Summarize the barriers to clinical implementation of a cognitive system and to outline an approach to improve workflow barriers
On completion of this course, the learner will be able to summarize the barriers to clinical implementation of a cognitive system and to outline an approach to improve workflow barriers.
Define the need for a culture shift to emerging technologies in healthcare
On completion of this course, the learner will be able to define the need for a culture shift to emerging technologies in healthcare.
Tufia Haddad, MD

Author Information Play Video Bio

Tufia Haddad, MD
on behalf of Healthcare Information and Management Systems Society

Dr. Tufia Haddad is an Assistant Professor of Oncology, Consultant, and Physician Scientist at the Mayo Clinic with a clinical and research focus in Breast Cancer. She completed her Degree in Medicine in 2001 at Creighton University in Omaha, Nebraska; Internal Medicine Residency in 2004 at the Mayo Clinic, Rochester, Minnesota; and her Fellowship in Hematology/Oncology in 2007 at the University of Minnesota, Minneapolis, MN. She has received numerous awards throughout her training and as a top educator and best doctor while in practice. Dr. Haddad is the Chair of the Breast Medical Oncology Practice at Mayo Clinic Rochester. She is an active member of the Mayo Clinic Cancer Center, Women’s Cancer Research Program and Breast Cancer Standards Council. Her research focuses on drug development and early phase clinical trials in breast cancer. From the practice perspective, she is focused on transforming the model of cancer care to improve patient quality of life and health outcomes, as well as provider efficiency, effectiveness, and engagement. She is the physician sponsor for transformative practice projects with the Mayo Clinic Center for Innovation, Center for Connected Care, and the Office of Information and Knowledge Management. Specifically she serves as the physician sponsor for two active projects involving health IT to improve quality outcomes with health IT, including (1) the Mayo Clinic collaboration with IBM Watson Health to co-develop the Watson Clinical Trial Matching solution, and (2) the development of an interactive care plan to transform the care of cancer survivors.

Current Accreditations

This course has been certified by or provided by the following Certified Organization/s:

  • Accreditation Council for Continuing Medical Education (ACCME)
  • 1.00 Credits
  • American Nurses Credentialing Center (ANCC)
  • 1.00 Hours

Faculty and Disclosures

Tufia Haddad, M.D.

Tufia Haddad, M.D.

-Contracted Research/Grant Support: Takeda Oncology

-Consulting Fees: TerSera Therapeutics

Additional Contributors

Conflicts Declared

Conflicts of Interest declaration by Author:

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