PODCAST: What is a Quality-Adjusted Life Year?

NOT A Generic Obscure Measure

By Dr. David E. Marcinko MBA

http://www.CertifiedMedicalPlanner.org

The quality-adjusted life year or quality-adjusted life-year (QALY) is a generic measure of disease burden, including both the quality and the quantity of life lived.

It is used in economic evaluation to assess the value for money of medical interventions. One QALY equates to one year in perfect health. If an individual’s health is below this maximum, QALYs are accrued at a rate of less than 1 per year.

LINK: https://www.amazon.com/Dictionary-Health-Insurance-Managed-Care/dp/0826149944/ref=sr_1_4?ie=UTF8&s=books&qid=1275315485&sr=1-4

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ASSESSMENT: To be dead is associated with 0 QALYs. QALYs can be used to inform personal decisions, to evaluate programs, and to set priorities for future programs

MORE: http://www.msn.com/en-us/money/healthcare/obscure-model-puts-a-price-on-good-health-and-drives-down-drug-costs/ar-AAJP8Nm?li=BBnbfcN

VIDEO: https://www.youtube.com/watch?v=OTmXnv2RAHw

Conclusion

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Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements. Contact: MarcinkoAdvisors@msn.com

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By Staff Reporters

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MEDIA / INTERVIEW REQUESTS

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WORLD POPULATION: 8 Billion?

By Staff Reporters

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The world’s population will likely hit an estimated 8 billion people today, according to a United Nations projection.

READ: https://reliefweb.int/report/world/worlds-population-hits-8-billion-people-un-calls-solidarity-advancing-sustainable-development-all

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COMMENTS APPRECIATED

Thank You

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PODCAST: What is Anscombe’s Quartet?

The Need for Data Visualization

Courtesy: www.CertifiedMedicalPlanner.org

Anscombe’s Quartet comprises four data sets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed. Each dataset consists of eleven (x,y) points.

LINK: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers and other influential observations on statistical properties. He described the article as being intended to counter the impression among statisticians that “numerical calculations are exact, but graphs are rough.”

So, always plot that data!

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PODCAST: https://www.bing.com/videos/search?q=Anscombe%e2%80%99s+Quartet%3a+&&view=detail&mid=68A62E7AB26B2B6EE69668A62E7AB26B2B6EE696&&FORM=VRDGAR&ru=%2Fvideos%2Fsearch%3Fq%3DAnscombe%25e2%2580%2599s%2BQuartet%253a%2B%26FORM%3DHDRSC3

Assessment: Your thoughts and comments are appreciated.

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DICTIONARIES FOR PHYSICIAN-EXECUTIVES AND MEDICAL CXOs

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