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Turning Big Data into Better Care

Health care environments are awash in data, and one key to delivering better care to patients is harnessing that data. Here, you’ll explore the potential of big data to enhance macro environments, such as population health, down to micro environments, such as evidence-based personalized care. Case studies will explore the value of predictive analytics and the use of data warehouses.

1.0 Total CME

1.0 Elective Credits - CPE

1.0 Elective Credits - Masters

1.0 Elective Credits - HIT

Course Objectives

  • Identify the potential impact from the analysis of big data collected in the health care environment.
  • Review the analytic competencies used at Carolina HealthCare System in its appropriation of patient data.
  • Analyze individual case studies to observe the effectiveness of data integration on multiple levels.
  • Describe the physical technology associated with handling health care information using structures such as a data warehouse.

Method of Participation

To complete this program successfully and claim credit, participants must follow these steps:

  • Read the educational objectives provided on the course summary page.
  • Attend the sessions or watch all the video lectures for this course (if applicable).
  • Read any course materials and complete any required activities.
  • Complete the course evaluation and post-test via your dashboard on the Association website. Successful completion of a given activity’s post-test requires a minimum 75% passing score prior to claiming CME credit, with three attempts allowed.
  • CME certificates will be available for printing after claiming CME credit.
  • Estimated time for course completion is equivalent to the CME credit hours.

Key Dates

Original Course Release Date: March 2016

Course Termination Date: March 2019

Access to Course Expires: 365 days from purchase date of course


Planner Disclosure: The planners (American Association for Physician Leadership® staff) for this activity have no relevant financial relationships with commercial interests to disclose.

Faculty Disclosure: The faculty for this activity have no relevant financial relationships with commercial interests to disclose.


The American Association for Physician Leadership® is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing education for physicians.


The American Association for Physician Leadership® designates this enduring material for a maximum of 1 AMA PRA Category 1 Credit(s) ™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Cancellation Policy

Registrations are eligible for full refund or transfer to another course (that occurs within 12 months) for up to 72 hours after purchase. A $100 processing fee applies to cancellations or transfers after 72 hours but before 30 days have elapsed. Cancellations after 30 days from purchase date are not eligible for refund or transfer.

Registrations may not be transferred to another person at any time. All refunds will be issued to the original form of payment. Refunds or transfers are not available if testing has occurred or CME is claimed.

Through the American Board of Medical Specialties (“ABMS”) and Association of American Medical Colleges’ (“AAMC”) joint initiative (ABMS MOC Directory ( ) to create a wide array of Maintenance of Certification (“MOC”) Activities, Turning Big Data into Better Care has met the MOC requirements as a MOC Part II CME Activity (apply toward general CME requirement) by the following ABMS Member Boards: ABMS Member Boards:

Allergy and Immunology
Family Medicine
Nuclear Medicine
Physicial Medicine and Rehabilitation
Preventive Medicine
Psychiatry and Neurology
Thoracic Surgery

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