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Healthcare Professional Rankings of Average Risk
Definition
According to Wikipedia,predictive modelingis the process by which a model is created or chosen to try to best predict the probability of an outcome. In many cases the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam.
Models can use one or more classifiers in trying to determine the probability of a set of data belonging to another set, say spam or ‘ham’.
Assessment
Nearly any regression model can be used for prediction purposes. Broadly speaking, there are two classes of predictive models: parametric and non-parametric. A third class, semi-parametric models, includes features of both.
Parametric models make “specific assumptions with regard to one or more of the population parameters that characterize the underlying distribution(s)”, while non-parametric regressions make fewer assumptions than their parametric counterparts.
Conclusion
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Filed under: Risk Management | Tagged: Healthcare Priorities, non-parametric, parametric non-parametric, Predictive Healthcare Modeling Priorities |
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Health care predictive analytics
[Who is making choices and to what end?]
Health care predictive analytics applies statistical modeling to massive data sets to develop tools to predict health outcomes for individual patients. Having tools that can accurately predict medical outcomes could greatly improve medical decision making.
http://theincidentaleconomist.com/wordpress/health-care-predictive-analytics-who-is-making-choices-to-what-end/
But, this is a complex, powerful, and possibly risky technology, as discussed in a great article by I. Glenn Cohen in the current Health Affairs.
Uriah
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Virtual healthcare by the numbers
• 78% of consumers would consider a virtual healthcare visit
• 47% would discuss the effectiveness of prescriptions.
• 43% would do so in order to diagnose cold or flu-like symptoms.
• 39% would do so for a consultation regarding allergies.
• 36% would consider a wellness visit, checkup or preventative services.
• 35% would opt to have a checkup regarding regularly monitored biometrics.
• 32% would consider a virtual visit to diagnose a rash.
• 30% would consider a virtual visit for one-time screening or lab services, such as blood sugar testing.
Note: Results are from The Harris Poll of 2,537 U.S. adults surveyed online between August 13-18, 2014.
Source: The Harris Poll
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