American College of Clinical Pharmacy
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Big Plans for Big Data: Applications for the Practicing Clinician

Saturday, October 26, 2019 from 9:45 AM to 11:15 AM EST at 2nd Floor: Murray Hill

Available for 1.50 hours of CPE credit
Activity Number: 0217-0000-19-153-L04-P
Activity Type: An Application-Based Activity

  • James N. Fleming, Pharm.D., BCPSModerator: James N. Fleming, Pharm.D., BCPS
    Clinical Pharmacy Specialist, Solid Organ Transplant at the Medical University of South Carolina, Medical University of South Carolina, Charleston, South Carolina
      View Biography

Big Data in Healthcare: Opportunities & Challenges
9:45 AM

  • Michael R. Gionfriddo, Pharm.D., Ph.D.Speaker: Michael R. Gionfriddo, Pharm.D., Ph.D.
    Assistant Professor, Geisinger's Center for Pharmacy Innovation and Outcomes, Forty Fort, Pennsylvania
      View Biography

Learning Objectives
1. Define Big Data and describe its relevance to the healthcare industry.
2. Describe the sources of Big Data and its generalizability to local populations.
3. Discuss techniques for performing predictive analytics and the role of Big Data.
4. Describe challenges associated with Big Data management.
Big Data at the Bedside: Uses for Improving Care and Reducing Costs
10:30 AM

  • Erik E. Abel, Pharm.D., MBA, BCPSSpeaker: Erik E. Abel, Pharm.D., MBA, BCPS
    Erik Abel, PharmD, MBA, BCPS Director of Clinical Transformation, Finance & Clinical Operations Clinical Transformation Office Highmark Health Pittsburgh, PA
      View Biography

Learning Objectives
1. Describe how a practicing clinician can use Big Data at the bedside to make patient-specific treatment decisions.
2. Describe how to apply Big Data in preventative medicine and predictive models.
3. Explain how Big Data can be used to leverage drug cost and utilization data to reduce pharmacy expenditures.
4. Apply Big Data principles to a clinical pharmacy scenario to demonstrate its utility in improved patient care and/or reduced costs.