Healthcare Data Analytics
Craft the narrative on the research design with your methods, implications, and contributions to the knowledge of the topic Healthcare Data Analytics. Identify the methodology that you plan to use and the steps that will be taken.
This part will be divided into two sections; 1) Research design and methods, and 2) Implications and Contributions to Knowledge.
In the research design section, explain the approach to the research and describe exactly what steps you will take to answer the questions. This will be made up of:
Research design – explain how you will design the research. Qualitative or Quantitative? Original data collection or primary/secondary sources? Descriptive, correlational, or experimental?
Methods and Sources – describe the research’s tools, procedures, participants, and sources. When, where, and how will you collect, select and analyze data?
Practical consideration addresses potential obstacles, limitations, and ethical or practical issues. How will you plan for and deal with problems?
In the Implications and contributions to knowledge, you will finish the proposal by emphasizing why your proposed project is important and what it will contribute to practice or theory. It will include:
Practical Implications – Will your findings help improve a process, inform policy, or make a case for concrete change?
Theoretical Implications – Will your work help strengthen a theory or model, challenge current assumptions, or a basis for further research?
use the following References.
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S;Miller D;Neville D;Peters L;Pupo E;Qazen U;Saunders S;Scichilone R;Trites P;Von
Plinsky J;Whaley L; (n.d.). Integrity of the healthcare record. best practices for EHR
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https://pubmed.ncbi.nlm.nih.gov/23984510/
Dhir, A., Talwar, S., Kaur, P., & Malibari, A. (1970, January 1). Food waste in hospitality
and Food Services: A systematic literature review and framework development
approach: Semantic scholar. undefined. Retrieved November 13, 2022, from
https://www.semanticscholar.org/paper/Food-waste-in-hospitality-and-food-
services%3A-A-and-Dhir-Talwar/830d44f08e4bace54e0689e107454a2eda236fb6
Khan N;Yaqoob I;Hashem IA;Inayat Z;Ali WK;Alam M;Shiraz M;Gani A; (n.d.). Big Data:
Survey, Technologies, Opportunities, and challenges. TheScientificWorldJournal.
Retrieved November 14, 2022, from https://pubmed.ncbi.nlm.nih.gov/25136682/
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