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Panel Presentations

Care Equity, Quality, and Safety

Using Big Data in Otolaryngology

Sunday, September 29, 2024
4:00 PM – 5:00 PM EDT
Location: MBCC, 224
CME/MOC Credit: 1
Disclosure(s):
Prasanth Pattisapu, MD:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

Jennifer J. Shin, MD, SM:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

Nikhila P. Raol, MD, MPH:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

David Oliver Francis, MD, MS:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

PROGRAM DESCRIPTION: “Big Data” databases are ubiquitous in health care today, where they offer a unique and powerful resource in understanding current practices and assessing treatment outcomes, costs, and value on a broad population level. With the increasing emphasis on evidence-based practice, value, and quality improvement, the databases available for research or quality improvement opportunities are ever-expanding, along with the types of questions that can be addressed. This panel presentation will provide an overview of some of the large databases available to researchers and clinicians, offering insight and experience from researchers who have published studies using these databases. We will discuss how to identify databases relevant to specific questions, discuss strengths and limitations, and provide practical advice in accessing and working with these datasets.

Specific databases that will be discussed:
-National Surgical Quality Improvement Program Pediatric (NSQIP): nationally validated, risk-adjusted database with data generated from patient-level chart extraction by trained clinical reviewers, measures surgical complications and 30-day post-operative outcomes
-Pediatric Health Information System (PHIS) and Kids’ Inpatient Database (KID): pediatric databases drawn from children’s hospitals across the country, including inpatient, ambulatory, and emergency department encounters (PHIS) and national estimates of hospital inpatient stays based on discharge all-payer insurance claims data (KID)
-Marketscan database: national insurance claims database with individual level claims data from employers, health plans, hospitals in inpatient, outpatient, ED settings.
-National Ambulatory Medical Care Survey (NAMCS): data sampled across the US population, based on surveys of individuals or households, providers, birth and death certificates, standardized physical exam, and medical records.
-Reg-ENT: Otolaryngology-specific clinical data registry, focused on quality improvement and patient outcomes

Learning Objectives:

  1. Recognize commonly utilized large databases in health care and the data they can provide.
  2. Discuss the strengths, limitations, and pitfalls of using large databases.
  3. Understand how to interpret and apply the results of big data analysis.

    Moderator(s)

  • Prasanth Pattisapu, MD

    Assistant Professor
    Department of Otolaryngology - Nationwide Children's Hospital
    Columbus, OH, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

    • Panelist(s)

  • Prasanth Pattisapu, MD

    Assistant Professor
    Department of Otolaryngology - Nationwide Children's Hospital
    Columbus, OH, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

  • Jennifer J. Shin, MD, SM

    Associate Dean for Faculty Affairs, Harvard Medical School; Director for Data Innovation
    Harvard Medical School
    Boston, MA, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

  • NR

    Nikhila P. Raol, MD, MPH

    Associate Professor of Otolaryngology and Pediatrics
    Baylor College of Medicine/Texas Children's Hospital
    Houston, TX, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

  • DF

    David Oliver Francis, MD, MS

    Associate Professor
    Division of Otolaryngology, University of Wisconsin - Madison
    Madison, WI, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.