“Reflection is the path both to self-knowledge and to greater personal efficacy. Although there are many ways to reflect, the journal is concrete evidence of one’s evolving thought processes, documenting valuable, often fleeting glimpses of understanding. This ancient tool is central to the pursuit of a more thoughtful life. In short, journal writing is a powerful form of reflection and a time-tested, well-established method for examining our lives.”
[Source: Stevens, D. D. & Cooper, J. E. (2010). Journal keeping: How to use reflective writing for learning, teaching, professional insight and positive change. Sterling, VA: Stylus Publishing, p. 3.]
What to read
Please refer to the following reading lists:
- HA Chapter1, 2
- Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 3. (Links to an external site
Aim
The goal of this assignment is to reflect what you gain by reading provided textbook chapters and outside literature. This reflection will help you understand the foundational aspects of the field of health data analytics in greater depth
How to write
Please write a reflection journal in 600-800 (12 point font, double-spaced) words and cite appropriately. If you want to add additional readings out of the reading list, please feel free to do so. In-text citations and the list of references should follow APA 7th edition style. The reflection journal should consist of 4 to 5 paragraphs: introduction, two or three paragraphs about what you learn, and conclusion.
Basically, you need to summarize and synthesize what you learn from readings, but helpful discussion questions to write this reflection journal will include but not limited to:
- What were the problems with traditional clinic research?
- What are the reasons and backgrounds that scientific inquires are driven by data?
- What are the benefits that data analytics can bring to health research, health care systems, health professionals, and consumers?
- What do you need to learn to become a data scientist focusing on health care? What special knowledge and skills do you need compared to a data scientist working for other areas?
- Despite these optimistic views on data analytics, what are the concerns when applying data analytics to health care
- Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13. (Links to an external site.)
- Kruse, C. S., Goswamy, R., Raval, Y. J., & Marawi, S. (2016). Challenges and opportunities of big data in health care: a systematic review. JMIR medical informatics, 4(4), e38.
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