Statistics
Data preparation in excel is my preferred platform to sort research data and is a functional tool in recoding, transforming and cleansing messy data (Watzlaf & Forrestal, 2017). Conclusions can be formulated with calculation of regression analysis to estimate probability and forecast future events. The know-how to perform these tasks and being able to visually explain what is being told in the data is an important characteristic in becoming a data scientist. Here is an artifact that demonstrates the task of regression analysis with qualitative and quantitative data.
| regression_statistics.pdf |
Failure Mode and Effects Anaylsis
Cyber security and the possibility of data breaches is an issue of national security. Being prepared with a failure mode effects analysis (FMEA) is crucial in reconnaissance measures to protect personal health information. Cloud-based electronic health record systems are the most vulnerable to these types of attacks. The following is a FMEA for a cloud-based EHR cyber-attack scenario on a small community hospital.
Reference
Watzlaf, Valerie J. & Forrestal, Elizabeth J. (2017) Health informatics research methods: Principles and practice, Second edition. American Health Information Management Association (AHIMA).
Watzlaf, Valerie J. & Forrestal, Elizabeth J. (2017) Health informatics research methods: Principles and practice, Second edition. American Health Information Management Association (AHIMA).