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**files (1)** – ## week4-Discussionpost.docx **## week4-Discussionpost.docx** It is anticipated that the initial discussion post should be in the range of 250-300 words. Response posts to peers have no minimum requirement but must demonstrate topic knowledge and scholarly engagement with peers. Subs…

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Assignment Prompt & Instructions

**files (1)**

– ## week4-Discussionpost.docx

**## week4-Discussionpost.docx**

It is anticipated that the initial discussion post should be in the range of 250-300 words. Response posts to peers have no minimum requirement but must demonstrate topic knowledge and scholarly engagement with peers. Substantive content is imperative for all posts. All discussion prompt elements for the topic must be addressed. Please proofread your response carefully for grammar and spelling.

**Instructions:**

When presenting a quality improvement project, it is important to have appropriate data to support your argument. Organizations can use data from these projects to improve patient care, decrease infection rates, and increase reimbursement. Data sources can start with the organizations EHR and extend to the state and national level. Below in the resources section are some examples of the larger data sets.

· What role do you have in data input relative to quality improvement?

· What risks/ benefits do you see with big data?

· Review literature and discuss how data collection impacts reimbursement.

· How is data collection and distribution impacted by blockchain technology?

·
[Quality Payment Program General Resources Links to an external site.](https://qpp.cms.gov/resources/resource-library)

·
[Center for Disease Control and Prevention Links to an external site.](https://data.cdc.gov/)

·
[Health Data Links to an external site.](https://healthdata.gov/)

·
[Centers for Medicare and Medicaid Services Links to an external site.](https://data.cms.gov/)

Please be sure to validate your opinions and ideas with citations and references in APA format.

**## week4-Discussionpost.docx**

It is anticipated that the initial discussion post should be in the range of 250-300 words. Response posts to peers have no minimum requirement but must demonstrate topic knowledge and scholarly engagement with peers. Substantive content is imperative for all posts. All discussion prompt elements for the topic must be addressed. Please proofread your response carefully for grammar and spelling.

**Instructions:**

When presenting a quality improvement project, it is important to have appropriate data to support your argument. Organizations can use data from these projects to improve patient care, decrease infection rates, and increase reimbursement. Data sources can start with the organizations EHR and extend to the state and national level. Below in the resources section are some examples of the larger data sets.

· What role do you have in data input relative to quality improvement?

· What risks/ benefits do you see with big data?

· Review literature and discuss how data collection impacts reimbursement.

· How is data collection and distribution impacted by blockchain technology?

·
[Quality Payment Program General Resources Links to an external site.](https://qpp.cms.gov/resources/resource-library)

·
[Center for Disease Control and Prevention Links to an external site.](https://data.cdc.gov/)

·
[Health Data Links to an external site.](https://healthdata.gov/)

·
[Centers for Medicare and Medicaid Services Links to an external site.](https://data.cms.gov/)

Please be sure to validate your opinions and ideas with citations and references in APA format.

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