Describe how the element would be measured or evaluated


Homework: Health Care Informatics

Topic: Evaluation of Health Care Technology

For this homework, you will utilize content from the study materials as well as additional qualified resources to synthesize new information that you can apply towards your DPI Project, your future work area, or your clinical practice as a DNP-prepared nurse.

Directions:

For this homework, write 1,000 to 1,250 words in which you:

o Select a technology that has been explored in the course.

o Using the technology you have selected, define and describe how the element would be measured or evaluated.

o Using the content in the textbook and other readings, list three elements that will be used to evaluate the user-technology interface.

o Perform an assessment using elements of user-technology interface or human factors methods to determine functionality.

o For each element, propose practicable suggestions for improvement using support from the literature.

Format your homework according to the following formatting requirements:

o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.

o The response also includes a cover page containing the title of the homework, the student's name, the course title, and the date. The cover page is not included in the required page length.

o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.

Reference

o Human Service Technology and the Theory of the Actor Network

o Ballantyne, N. (2015). Human service technology and the theory of the actor network. Journal of Technology in Human Services, 33(1), 104-117.

o Taking Data Seriously: The Value of Actor-Network Theory in Rethinking Patient Experience Data

o Desai, A., Zoccatelli, G., Adams, M., Allen, D., Brearley, S., Rafferty, A. M., Robert, G., & Donetto, S. (2017). Taking data seriously: The value of actor-network theory in rethinking patient experience data. Journal of Health Services Research and Policy, 22(2), 134-136.

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