Grantham University Milestone Two Electronic Health Records Data Set Report Compile and present the data that will inform your project. Examples: pie charts, bar charts, line charts, column charts, poll results, survey results, trend graphs, timelines, raw data table, summary table, narrative summary table, etc. Briefly introduce your data, present your data, then write a 200-word explanation of the data type and why this type of data is beneficial for your project. Example data types: primary, secondary, qualitative, quantitative, categorical, mixed, cross-sectional, longitudinal, etc. Incorporate concepts and key terms from the course. Use APA format for presenting data and include appropriate citations and references.
Note – Do not draw conclusions or make inferences about the data in this assignment. Only introduce the data, present the data and describe what type of data it is and why it is beneficial to your research. You will analyze the data in week 5.
Examples:
Compile various poll results into a bar graph.
Compile multiple financial results to develop a trend graph.
Annotate studies in a narrative summary table.
Create a timeline graph of historical events.
Develop a bar graph of demographics.
Compile raw data into a table.
View your assignment rubric.
I have attached Part I of the Project Proposal below and this is the entire project make up. 1
Running Head: PROJECT PROPOSAL
Project Proposal
Institutional Affiliation
Name
Date
2
PROJECT PROPOSAL
Project Proposal
My ideal workplace would be in the healthcare industry. The healthcare industry is
concerned with the provision of quality healthcare for the community. My job here would be the
managing director. It is essential to note that in as much as the healthcare industry is made up of
healthcare professionals, they also need business-minded people to help manage and lead their
business organizations. The audience presentation consists of healthcare directors and
supervisors all over the world. This paper aims at shedding light on electronic health records and
how they can benefit the healthcare industry (Jha et al, 2009).
It is essential to understand that the world is diversifying and embracing technology.
Technology influences around 60% of everything we do. As such, the healthcare industry should
not be left behind in the wake of these changes. Electronic health records commonly known as
the EHR is a record-keeping method that is technologically advanced. It is a method used to
store information by technological means (Gans et al, 2005). It makes this information easier to
access and more secure for hospital institutions. We live in a world where identity theft and other
forms of cyber-threats have significantly increased. This puts patient records and patient
information at risk. As such, it is vital to implement this type of record-keeping in most
hospitals.
This would first require training to advance the medical personnel. This would educate
them on how to handle such systems. This can be done by outsourcing or even using an
employee within the organization. In essence, this method is bound to provide positive results. It
is also fast which helps reduce the wait time associated with most hospitals today.
3
PROJECT PROPOSAL
References
Gans, D., Kralewski, J., Hammons, T., & Dowd, B. (2005). Medical groups’ adoption of
electronic health records and information systems. Health affairs, 24(5), 1323-1333.
https://www.ncbi.nlm.nih.gov/pubmed/16162580
Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., … &
Blumenthal, D. (2009). Use of electronic health records in US hospitals. New England
Journal of Medicine, 360(16), 1628-1638.
https://www.ncbi.nlm.nih.gov/pubmed/19321858
Research in the Workplace
For the final project of this course, you will apply what you have learned about research methods
in a presentation. Imagine that you have been asked by your future boss to prepare a presentation
for your colleagues at work. The topic and purpose of this presentation is entirely up to you, but
it must include a data set and analysis to frame the data within your workplace environment.
Data can be numerical in nature (quantitative), or it can be content driven (qualitative). We will
discuss both types of data in this class, and you can brainstorm ideas with your peers and
instructor as needed. Here is a sample PowerPoint on podcasts that you may use as an
example. You are not allowed to use podcasts as the subject of your project.
Topic Examples:
Use polling data to summarize how the public feels about a specific subject that might affect
your future job, from criminal justice to nursing to sales.
Compile financial data to suggest a trend in purchasing that might allow your future company to
host a sale or appeal to a specific demographic.
Summarize psychology studies that help your colleagues understand clients, students, patients, or
criminals more clearly and explain how this information can improve the execution of
everyone’s jobs.
Learn about a moment in history and propose lessons learned that could improve company
morale, team tactics, or a marketing message.
Collect data on technology in order to propose a way to save time at work by adopting
automation or a company-wide communications app like Slack.
Read about time management theories and summarize how your future co-workers could
improve their productivity at work.
Learn about investigation styles and apply them to a criminal justice team.
The possibilities are endless. Feel free to use the above examples as inspiration or choose
something from your major, career goals, or real life. Just remember to use specific qualitative or
quantitative data plus analysis in your final product. Ultimately, your presentation will include a
topic, your data, your analysis, and how it applies to your workplace. This should take
approximately ten or more slides for your final presentation.
MILESTONE ONE (DUE WEEK ONE): “TOPIC PROPOSAL”
Spend some time searching for ideas that will form the core of your project. Once you find a
good topic, write a proposal of 250-400 words. In this proposal, explain your future job, the
organization, and your presentation audience. Then describe your topic and what type of data
you might include in your presentation. Your instructor will provide you with some feedback to
help set you up for success as you begin the data collection portion of this project.
MILESTONE TWO (DUE WEEK THREE): “SUBMITTING YOUR DATA SET”
Prepare the data that will inform your project. Information will vary according to project: it could
be a chart of polling numbers, a description of main events for a historical moment, financial
data about trends in purchasing, or information about good work habits or psychology. Because
of this variation, it is critical that you introduce your data clearly before presenting it. After
providing this information in a Word document, write a 200-word explanation of the data type,
incorporating concepts and key terms from the course. Use APA citations when appropriate.
MILESTONE THREE (DUE WEEK FIVE): “PRESENTATION ANALYSIS”
Using feedback from your instructor, briefly describe your topic and data set. Then write a 300400 word analysis of this data and how it might help your hypothetical workplace. Try to
incorporate concepts from the course in your analysis. Use citations in APA style where
appropriate.
MILESTONE FOUR (DUE WEEK SEVEN): “FINAL PRESENTATION”
Reflecting on your instructor’s feedback in Weeks One, Three, and Five, put all your information
together into a presentation. You may use any presentation program you chose, such as
PowerPoint or Prezi. Imagine that you are going to give this presentation at a board meeting,
faculty meeting, or company conference. Your presentation should be at least ten slides long,
with a clear topic, presentation of data, description of analysis, and application to your
hypothetical employment environment.
View your assignment rubric.
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