(DOWNLOAD) Why Nobody Believes the Numbers: Distinguishing Fact from Fiction in

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Why Nobody Believes the Numbers Distinguishing
Fact from Fiction in Population Health Management
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Why Nobody Believes the Numbers Distinguishing
Fact from Fiction in Population Health Management
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Distinguishing Fact from Fiction in Population
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Description
Why Nobody Believes the Numbers introduces a
unique viewpointto population health outcomes
measurement Results/ROIs should be presented as
they are, not aswe wish they would be. This
viewpoint contrasts sharply with vendor/promoter/c
onsultant claims along two very
important dimensions(1) Why Nobody Believes
presents
outcomes/ROIs achievable right here on this very
planet82302) 8230caculated usingactual data
rather than controlled substances.Indeed, nowhere
in healthcare is it possible to find such sharply
contrasting worldviews,
methodologies, and grips on reality.Why Nobody
Believes the Numbers includes 12 case studies of
vendors, carriers, and consultants who were
apparently playing hooky the day their teacher
covered fifth-grade math, as told by an author
whose argument style can be so persuasive that he
was once able to convince a resort to sell him a
timeshare. Thebook's lesson no need to believe
what your vendor tells you -- instead you
can estimate your own savings using
8220inredients you already have in your
kitchen.8221Don't be intimidated just because
you lack a PhD in biostatistics, or even a
Masters, Bachelor's, high-school equivalency
diploma or up-to-date inspection sticker.Why
Nobody Believes the Numbers explains how
todetermine if the ROIs are real...and why they
usually aren't. You'll learn how toFigure out
whether you are quotmovng the needlequotor just
crediting a program with changes that would have
happened anywayJudge whether the ROIs your
vendors report are plausible or even
arithmetically possibleSynthesize all these
insights into RFPs and contracts that truly hold
vendors accountable for results
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Why Nobody Believes the Numbers Distinguishing
Fact from Fiction in Population Health Management