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2018 Cardiovascular Grand Rounds Evaluation & Post Test-Enduring Materials Format: Big Data to Predict & Prevent Cardiac Arrest

Evaluation

APRIL 18 2018- EVALUATION & POST TEST- CV GR, BIG DATA TO PREDICT & PREVENT CARDIAC ARREST
PRESENTED BY;  DANA P. EDELSON, MD, MS
ESTIMATED TIME TO COMPLETE THE ACTIVITY IS 45 MINUTES. ACTIVITY AND CONTENT EXPIRES: APRIL 18, 2021
STATEMENT OF DISCLOSURE: THE PLANNERS AND FACULTY FOR THIS ACTIVITY HAVE NO RELEVANT FINANCIAL RELATIONSHIPS WITH COMMERCIAL INTERESTS. NO OTHERS INDIVIDUALS INVOLVED IN THE PLANNING OR PRESENTATION OF THIS ACTIVITY HAVE ANY RELEVANT FINANCIAL RELATIONSHIPS WITH COMMERCIAL INTERESTS TO DISCLOSE.
ACCREDITATION STATEMENT: JOHN MUIR HEALTH IS ACCREDITED BY THE INSTITUTE FOR MEDICAL QUALITY/CALIFORNIA MEDICAL ASSOCIATION (IMQ/CMA) TO PROVIDE CONTINUING MEDICAL EDUCATION FOR PHYSICIANS.
CREDIT DESIGNATION STATEMENT: JOHN MUIR HEALTH DESIGNATES THIS ENDURING MATERIAL FOR A MAXIMUM OF ONE (.75) AMA PRA CATEGORY 1 CREDITS™.  PHYSICIANS SHOULD CLAIM ONLY THE CREDIT COMMENSURATE WITH THE EXTENT OF THEIR PARTICIPATION IN THE ACTIVITY.  
MINIMUM LEVEL OF ACHIEVEMENT:   MUST SCORE 75% CORRECT ON POSTTEST AND COMPLETE THE STATEMENT OF HOW YOU WILL IMPROVE YOUR PRACTICE AFTER PARTICIPATION IS MANDATORY. 
JMH INTERNET POLICY: HTTPS://WWW.JOHNMUIRHEALTH.COM/WEBSITE-PRIVACY-POLICY1.HTML
Please complete and return this evaluation form in order to receive a maximum of .75 AMA PRA Category 1 Credit™ for this session
 
1. Physician Info
This question requires a valid date format of MM/DD/YYYY.
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3. As a result of attending this CME activity, which of these do you plan to implement and/or change in your practice? *This question is required.
Space Cell DefinitelyMaybeNo Change
Examine current standards, methods, and uses for big data to develop a heart attack prediction system at JMH.
Discuss the challenges of using Big Data Analytics in health care.
Explore the future trends associated with Big Data, heart attack prediction and personalized medicine.
9. Was their evidence of commercial bias in this session? ​
10. Which vital sign is the strongest predictor of clinical deterioration in the hospital?
11. The majority of cardiac arrests in the hospital show evidence of clinical deterioration hours in the hours prior to the arrest.
12. Which of the statements below is true?
13. Hospitals with high complication rates are more likely to have high failure to rescue rates.