Reflection Number 1
The Journal Review assignment artifact that I have chosen for MSNC 507, Statistics, was comprehensive, incorporating concepts and outcomes learned in class. Analysis and explanation of descriptive and inferential statistics were essential in completing the assignment. Data analysis is necessary to be a successful biostatistician. Understanding why the article was written and its purpose to the community, recapping the essential information and the methods used to produce the research outcomes, and interpreting the graphs and tables were beneficial to solidifying my grasp of statistics as it pertains to healthcare. During this course, I have certainly learned the functions of Excel that I had not used before. The program outcomes of basic spreadsheet skills, data management, statistical analysis, and selection of statistical tools within Excel to solve problems were covered, and opportunities were given for practice. Additionally, there were health system components and how spreadsheets may look like while working in healthcare. Manipulating the data was fascinating and challenging.
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Reflection Number 2
For HCIN 547, Health Care Analytics, we dove into more intense calculations for data analysis than we were exposed to in MSNC 507, Statistics. Our platforms included Access, part of Microsoft Office 365, Excel, and Tableau. Our data was in Excel from the Health Resources & Services Administration (HRSA), which provides equitable health care to the nation's highest-need communities. The particular artifact I have attached, Exploratory Data Analysis, was an exercise in aggregating data in Tableau and crosschecking with data and calculations in Excel. The HRSA data contained the following headings (columns), which included Health Center, City, State, and then the different disease columns representing hypertension, diabetes, Asthma, and HIV. Understanding the data in basic spreadsheets, like Excel, and then manipulating the data for visualization in Tableau was challenging and interesting. Data management and analysis are key in Health Care Informatics. Professor Berkovich offered excellent instruction for such a multifaceted assignment and provided the foundation for more complex data extrapolation, calculation, and visualization. She taught us the intricacies of working with data in Excel and Tableau and the key differences between the two applications. These skills are essential for proficiency in data analysis. In order to view the file, you would need to have Tableau.
m4_tableau_htn_gildademergian_revised__2_.twbx | |
File Size: | 966 kb |
File Type: | twbx |
Reflection Number 3
Patient safety, in terms of health data, is an essential topic in healthcare under the guise of data breaches and cyber security threats, and it requires an understanding of how to report them. Further, it is important to develop and implement a cyber security plan. In this course, HCIN 544, Advanced Health Care Information Management, we covered in depth how to mitigate privacy and security risks. The artifact I chose was an exercise in healthcare data breach notification and its process. Although our submittal was short, we learned the steps for notification involving more than 500 individuals, or less than 500 individuals, and who to report to. Whatever the size of the healthcare organization, it is important to understand the breach and how to conduct a federally mandated-breach notification.
hcin_544_-_assignment_3_for_module_3.docx | |
File Size: | 21 kb |
File Type: | docx |