Briefly explain why claims data is the preferred resource for analytics and reporting. Include at least one example.
Claims data are the one which is used for reimbursement process.It is a form of obtaining patient information and the use of hospital resources for mefical conditions and procedures.It requires a series of value judgement and side in improving data quality. It should involve age,gender,total health care cost,diagnostic code ,procedure code,place of service ,employment status.It has billing codes in it.It uses a standard set of codes.A holistic relationship between patient doctor are established. The most advanced form used now is EHR
For example
If a patient has a follow-up after 6 month, meanwhile if he is sick he may meet a physician or take OCT medications ,undergo laboratory test where it cannot be recorded in EHR by the primary physician during the visit while having a follow up.
Briefly explain why claims data is the preferred resource for analytics and reporting. Include at least one example.
Briefly explain the Boxplot for data visualization and analytics and give its example.
List and briefly explain 3 challenges to Data Analytics.
Classification and regression are commonly used processes in business analytics. Briefly explain the difference between classification and prediction i. Give examples for classification methods you know. The following diagram shows a neural network with one hidden layer. b1 w1 h1 w5 w2 out w3 i2 w6 h2 W4 b2 Write down the algebraic equation for y, in terms of input values i,i and weights w Briefly explain how neural networks are used for classification iv Give at least three examples...
Explain how normal distributions are used in business analytics. Your findings must include: The problem background Why a normal distribution is used How is a normal distribution used? What are the results?
Discuss how one of the two listed data analytics tools (explanatory and predictive analytics) can be applied in health care. Give a specific use example.
Briefly describe what is entailed in each of the data analytics process steps: Business understanding Data understanding Data preparation Modeling Evaluation Deployment Use complete sentences and your own words. One or two sentences is enough for most steps but feel free to elaborate further where necessary.
Reading: Why Data Analytics Now? In this reading, the authors identify some of the reasons why data analytics has become so important for organizations. Think about your organization/industry. Do you think there is hype in your organization/industry around the importance of data analytics OR do you think it is not giving enough importance to it? If you were in charge of the data science function what would be your advice to Senior Management? Explain. If you are not working for...
Explain Least Preferred Coworker Theory. Why do you identify with this theory/model? Why do you NOT identify with this theory/model? How would you implement this theory/model? How would your personal biases affect your implementation of this theory/model? If applicable, briefly summarize your Experiential Learning Exercise results for this theory/model. What questions do you have regarding this theory/model? What would you like to learn more about?
Briefly describe one computer system application where Queues will be the preferred data structure.
How are exploratory data analysis (EDA) and hypothesis testing different? Explain why EDA could be preferred in data mining, and justify your explanation with a specific example.