HCI660 All Weeks Discussions Latest 2020 JULY

HCI660 Health Data Analytics

Week 1 Discussion

DQ1 How do the analytics needs of health care enterprises vary based on organization size? Describe the four types of projects in project management for examining the analytical needs of a health care organization as outlined in Chapter 1 of the textbook.

DQ2 An acute care hospital is facing challenges related to an increased number of preventable readmission. Describe the role of analytics in reducing the number of preventable readmissions. Which analytics would be important? How do analytics help to identify patients who are at risk for preventable readmissions?

HCI660 Health Data Analytics

Week 2 Discussion

DQ1 What is the importance of understanding the minimal data set needed to achieve the purpose of the report? How do health care organizations determine if reporting needs to be static or ad hoc? What are the challenges if data does not exist in an extractable format?

DQ2 Describe the requirements for a reporting tool that would facilitate the tracking of a merit-based incentive payment system (MIPS) quality performance in an emergency department environment (e.g., clinical dashboard). In your responses to peers, discuss at a high level how MIPS quality measure performance is determined for one or more quality measures that may be used by an emergency department.

HCI660 Health Data Analytics

Week 3 Discussion

DQ1 What are clinical quality measures used for? Identify five clinical quality measures used by CMS. Describe the general structure of the five clinical quality measures you identified and explain how they are reported. Provide an example of how each of the five clinical quality measures you identified are designed to improve the quality of care.

DQ2 What are the role of benchmarks in quality improvement activities? In order to benchmark progress, describe what an organization can compare its benchmarks against. Provide an example of a source for benchmarks.

HCI660 Health Data Analytics

Week 4 Discussion

DQ1 What is the difference between structured and unstructured data? Compare the impact of using structured versus unstructured data.

DQ2 Why does health care data need to be aggregated? In the data aggregation process, what is the impact of using information that is assigned a code as opposed to free text data?

HCI660 Health Data Analytics

Week 5 Discussion

DQ1 What is the purpose of looking at different types of data? What is the role of clinical terminology in data aggregation, normalization, and reconciliation?

DQ2 How do you evaluate outliers? How can outliers be used to determine root cause of data integrity issues? Research and briefly explain how CMS uses Winsorization when calculating cost performance.

HCI660 Health Data Analytics

Week 6 Discussion

DQ1 What is the purpose of data analytics in health care? What is the role of structured query language (SQL) in analytics?

DQ2 Describe how predictive analytics is used operationally in clinical and business processes in health care. In your response to peers, describe one or more roles of predictive analytics in the health care environment.

HCI660 Health Data Analytics

Week 7 Discussion

DQ1 What is the importance of understanding patterns and trends in data? Provide a specific example. How can the identification of patterns and trends help organizations save time?

DQ2 How is data visualization used? How can an organization determine the best way to present data? Provide a specific example.

HCI660 Health Data Analytics

Week 8 Discussion

DQ1 What is machine learning technology? How is machine learning technology being used in health care? What are the benefits of machine learning technology?

DQ2 What is the purpose of analytic strategies in health care? Describe a scenario where a health care organization would need an analytics strategy. Using the scenario you described, what would the organization need to consider when outlining components of its strategy?