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Wk 3 peer response

Rules: Please thoroughly respond to post but not too wordy or lengthy. Include reference.

HMGT 400

· Week 3 Discussion

· Week 4 Discussion & Exercise

Heather Maloney posted Sep 13, 2016 10:52 AM

The data preparation process is probably the most important aspect of data collection. Without the process, data mining becomes very difficult. The overall process takes inputs and yields outputs; the inputs consist of raw data and the miner’s decisions such as selecting the problem, possible solution, modeling tools, confidence limits, etc., and then decisions have to be made concerning the data, such as the tools to be used for mining, and those required by the solution (Pyle, 1999).

Different books, websites, etc have varying ways of creating the data preparation process. According the Research Methods Knowledge Base, data Preparation involves checking or logging the data in; checking the data for accuracy; entering the data into the computer; transforming the data; and developing and documenting a database structure that integrates the various measures ("Data Preparation", 2016). The process can also vary depending on whether using a manual method or a computer database. Regardless, the steps typically include some version of preparing the data, analyzing the data, and then displaying the

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· Week 4

Cheryl posted Sep 12, 2016 8:09 PM

Data preparation has various definitions depending on who you ask and what their role is.  Data preparation is the process of collecting, cleaning up and consolidating the data into one file or table so that it can be used for analysis.  The process of preparing the data includes correcting any error, filling in areas of incomplete data as well as merging many sources or formats of data into one document.

Data preparation includes:

1. Data analysis– The data is audited for errors and anomalies to be corrected. For large datasets, data preparation applications prove helpful in producing metadata and uncovering problems.

1. Creating an Intuitive workflow– A workflow consisting of a sequence of data prep operations for addressing the data errors is then formulated. This is also like creating a database structure, what format works best.

1. Validation– The correctness of the workflow is next evaluated against a representative sample of the dataset. This process may call for adjustments to the workflow as previously undetected errors are found.

1. Transformation– Once convinced of the effectiveness of the workflow, the transformation may now be carried out, and the actual data prep process takes place.

1. Backflow of cleaned data– Finally, steps must also be taken for the clean data to replace the original dirty data sources.

Web Center for Social Research Methods. (2006, October 20). Data Preparation. Retrieved September 12, 2016, from http://www.socialresearchmethods.net/kb/statprep.php

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HMGT 495

· Week 4

· Kristina Winfield posted Sep 13, 2016 6:08 PM

3. Do you see any benefits or drawbacks in the use of social media among health care organizations?

Social media provide Health care professionals with tools to share information, to debate health care policy and practice issues, to promote health behaviors, to engage with the public, and to educate and interact with patients, caregivers, students, and colleagues. Health care providers can use social media to potentially improve health outcomes, develop a professional network, increase personal awareness of news and discoveries, motivate patients, and provide health information to the community.

A drawback or major risk associated with the use of social media is the posting of unprofessional content that can reflect unfavorably on Health care professionals, students, and affiliated institutions. Social media convey information about a person’s personality, values, and priorities, and the first impression generated by this content can be lasting.  Perceptions may be based on any of the information featured in a social media profile, such as photos, nicknames, posts, and comments liked or shared, as well as the friends, causes, organizations, games, and media that a person follows. 

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103576/

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· Week 4

·

· Sean posted Sep 13, 2016 5:17 PM

As I have mentioned before in previous posts, health care is a business whether people like to admit it or not. In fact, the rules pertaining to the difference between for profit and non-profit hospitals are not all that different. Hospitals require income to fund the operations of the hospital and have expenses just like any other business. Hospitals also offer services for a free, again like regular business. Health care organizations can benefit via marketing to inform the customer base (patients) what that health care organization is capable of. Marketing can also let customers know what new products are available to increase patient utilization and awareness of what the hospital is capable of. Information is a powerful tool that can really make a difference in the success of an organization.

- Sean

- Sean

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