21 Apr Consider how big data can impact health care decision making. It is important to note that big data collection must be accurate and done in way that meets needs of the organization
Consider how big data can impact health care decision making. It is important to note that big data collection must be accurate and done in way that meets needs of the organization. Big data collection is a big task and health care organizations must have the personnel with the skills to analyze and transform the data. Successful data analysis and transformation is proven to improve quality and patient safety. Now take a moment to review the following videos on how data are used.
- Why Big Data Is About Making Better Decisions. (https://www.youtube.com/watch?v=-SiH20oHndg)
- How Big Data Could Transform The Health Care Industry. (https://www.youtube.com/watch?v=_mXrZEIpNMw)
After watching the videos, consider how these concepts can improve quality and safety. Next, research published data from a credible source such as CMS, AHRQ, or other health-related databases. Review the data being gathered and consider how these data can be applied to health care organizations to improve processes that provide quality assurance.
Applying Big Data Analytics to Quality Assurance Scoring Guide
Due Date: End of Unit 2. Percentage of Course Grade: 15%.
Note: Your instructor may also use the Writing Feedback Tool to provide feedback on your writing. In the tool, click on the linked resources for helpful writing information. CRITERIA NON-PERFORMANCE BASIC PROFICIENT DISTINGUISHED
Demonstrate an understanding of the concept of big data in health care by defining the types of data typically gathered and analyzed in health care settings. 15%
Does not describe the concept of big data in health care.
Describes the concept of big data in health care, but does not demonstrate an understanding by defining the types of data typically gathered and analyzed in health care settings.
Demonstrates an understanding of the concept of big data in health care by defining the types of data typically gathered and analyzed in health care settings.
Demonstrates an understanding of the concept of big data in health care by defining the types of data typically gathered and analyzed in health care settings, and identifies knowledge gaps and/or additional information that would be needed to gain a more complete understanding.
Determine the types of data needed for quality improvement in health care settings. 15%
Does not describe the types of data needed for quality improvement.
Describes different types of data used for quality improvement, but does provide evidence for using them in a health care setting.
Determines the types of data needed for quality improvement in health care settings.
Determines the types of data needed for quality improvement in health care settings and identifies assumptions on which the determination of the types of data is based.
Apply current best practices in generating meaningful outputs from data to improve performance. 20%
Does not list current best practices in generating meaningful outputs from data to improve performance.
Lists current best practices in generating meaningful outputs from data to improve performance, but provides no application.
Applies current best practices in generating meaningful outputs from data to improve performance.
Applies current best practices in generating meaningful outputs from data to improve performance and identifies criteria that could be used to evaluate the appropriateness of the proposed best practices.
Analyze current trends in data collection and analysis to promote patient safety. 20%
Does not explain current trends in data collection and analysis to promote patient safety.
Explains current trends in data collection and analysis to promote patient safety, but provides no analysis.
Analyzes current trends in data collection and analysis to promote patient safety.
Analyzes current trends in data collection and analysis to promote patient safety, and identifies criteria that could be used to evaluate those trends.
Apply proven leadership approaches to interpreting benchmark results and applying data analysis to quality improvement. 20%
Does not describe proven leadership approaches to interpreting benchmark results and applying data analysis to quality improvement.
Describes proven leadership approaches to interpreting benchmark results and applying data analysis to quality improvement, but provides no application.
Applies proven leadership approaches to interpreting benchmark results and applying data analysis to quality improvement.
Applies proven leadership approaches to interpreting benchmark results and applying data analysis to quality improvement, and suggests criteria that could be used to evaluate the appropriateness of the applied leadership approaches.
Write content clearly and logically, with correct use of grammar, punctuation, and mechanics. 5%
Does not write content clearly or logically, or with correct use of grammar, punctuation, and mechanics.
Writes content with errors in clarity, logic, grammar, punctuation, or mechanics.
Writes content clearly and logically, with correct use of grammar, punctuation, and mechanics.
Writes content clearly and logically, with correct use of grammar, punctuation, and mechanics, and uses relevant evidence to support a central idea.
Correctly format paper, citations, and references using APA style. 5%
Does not format paper, citations, and references using APA style.
Formats paper, citations, and references using APA style but with errors.
Correctly formats paper, citations, and references using APA style. Citations contain a few errors.
Correctly formats paper, citations, and references using APA style. Citations are free from all errors.
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Instructions
Apply data generated by performance outcome measurement systems for the purposes of decision support, risk adjustments, and benchmarking. To be successful in this assignment, you need to complete the following:
· Watch the two videos regarding big data.
· Research existing databases and consider how big data are gathered in health care.
· Research how organizations use benchmarking to help meet stakeholder needs.
· Research 2–3 types of data from the databases you reviewed that are typically used in a health care organization.
In your paper:
· Define and describe the types of data typical to health care organizations.
· Describe how using data in benchmarking helps organizations improve quality and patient safety.
· Present current trends and best practices from scholarly literature and credible industry sources on how to apply data to organizational practices.
· Recommend leadership approaches for ensuring performance improvements in a health care setting based on benchmarking data.
Make sure your paper follows appropriate APA formatting and has 3–5 current peer-reviewed references.
Pay attention to the critical elements that form part of the grading criteria for this assignment:
· Demonstrate an understanding of the concept of big data in health care by defining the types of data typically gathered and analyzed in health care settings.
· Determine the types of data needed for quality improvement in health care settings.
· Apply current best practices in generating meaningful outputs from data to improve performance.
· Analyze current trends in data collection and analysis to promote patient safety.
· Apply proven leadership approaches to interpreting benchmark results and applying data analysis to quality improvement.
Writing Requirements
Your paper should meet the following requirements:
· Length: 4–5 double-spaced pages (excluding the cover page and references list). Include page numbers, headings, and running headers.
· References: 3–5 current peer-reviewed references.
· Formatting: Use current APA style and formatting, paying particular attention to citations and references.
· Font and font size: Times New Roman, 12 point.
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