What did Vilfredo Pareto, a 20th Century Italian economist, find?
Risk stratification applies to economics and healthcare.
He observed that 80 percent of the wealth in his country was owned by about 20 percent of the people.
He observed that 80 percent of the wealth in his country was owned by about 10 percent of the people.
He was the first to explain how “regression to mean” impacts evaluations of outcomes.
Which two fields in the transformed datasets provided by the instructor are most important for linking data between tables?
ICD_DX and PATIENT
ORDER_MED and ICD_DX
PAT_ID and PATIENT
PAT_ID and PAT_ENC_ID
What statement is the most correct regarding social systems and healthcare?
Social systems really part of the technical system – there is no value getting caught up in the complexity of human culture and decision-making.
Social systems in healthcare are closed systems that are constrained by standardized provider training.
Sometimes technology drives social change. At other times, social change drives technology.
Social systems nearly always follow technical evolution.
Why is evaluation of various “cut-points” important for defining risk strata?
Cut-points help an analyst decide what type of predictive models should be considered.
Different cut points that define the strata will impact accuracy metrics in different ways.
Cut-points are critical in the variable selection process.
Various cut-points impact the global fit of the model.
Which statement is the most accurate concerning the specification of time periods in predictive models?
Careful attention to time periods can reduce biases with the risk stratification model.
If you have data for multiple years, it is important to focus on one year so that the analysis does not get confusing.
Predictive models are only future oriented, so time periods are unimportant to consider.
Time periods are important for sequence analytics – these are less important for predictive models.
Which question from the following is important related to the context of data?
What clinical workflows created the data?
How can technology help patients without risking their safety?
What can this data tell me?
Do I need to harmonize the data?
Which are the critical concepts discussed in the lesson for evaluating data quality? (Select all that apply).
Regression to the mean
Data entry error
What is a common method for evaluating the global fit of a predictive model used for risk stratification?
Least Squares Regression
Why was the DE-SynPUF created?
Provide a realistic data source for researchers and analysts without risking patient privacy.
To settle an expensive legal battle that involved HIPAA.
Commercial interests from start-up companies to help create healthcare services and products.
Support government analytical activities in support of Affordable Care Act.
What are the first steps an analyst should consider when performing risk stratification? (Select all that apply).
Partner with a data scientist and start modeling early – this complex works takes time.
Purchase a risk stratification system — rarely can organizations create their own reliable in-house algorithms.
Purchase a Commercial Grouper
Select Target Variable
Algorithms: Buy vs. Build
What type of data did the DE-SynPUF originate from?
Medicaid claims data
Commercial claims data
Medicare claims data
EHR clinical data
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