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Producing Applications in Practice With Data

· McGonigle, D., & Mastrian, K. (2022). 
Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett. 

Available in the courseroom via the VitalSource Bookshelf link.

· Chapter 23, “Translational Research: Generating Evidence for Practice.”

· Kurniati, A. P., Rojas, E., Hogg, D., Hall, G., & Johnson, O. A. (2018, November 29). 

The assessment of data quality issues for process mining in healthcare using Medical Information Mart for Intensive Care III, a freely available e-health record database
. 
Health Informatics Journal, 1–16.

· Shameer, K., Perez-Rodriguez, M. M., Bachar, R., Li, L., Johnson, A., Johnson, K. W., Glicksberg, B. S., Smith, M. R., Readhead, B., Scarpa, J., Jebakaran, J., Kovatch, P., Lim, S., Goodman, W., Reich, D., Kasarskis, A., Tatonetti, N. P., & Dudley, J. T. (2018). (2018). 

Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining
. 
BMC Medical Informatics and Decision Making, 
18(Suppl. 3), 1–19.

· Vial, G. (2019). 

Understanding digital transformation: A review and a research agenda
. 
The Journal of Strategic Information Systems, 
28(2), 118–144.

Evidence-Based Development

· Ansaripour, A., Zendehdel, K., Tadayon, N., Sadeghi, F., Uyl-de Groot, C. A., & Redekop, W. K. (2018). 

Use of data-mining to support real-world cost analyses: An example using HER2-positive breast cancer in Iran
. 
PloS One, 
13(10), 1-16.

· Bjarnadottir, R. I., Bockting, W., Yoon, S., & Dowding, D. W. (2019). 

Nurse documentation of sexual orientation and gender identity in home healthcare: A text mining study
. 
CIN: Computers, Informatics, Nursing, 
37(4), 213-221.

· Ghorbani, R., & Ghousi, R. (2019). 

Predictive data mining approaches in medical diagnosis: A review of some diseases prediction
. 
International Journal of Data and Network Science, 
3(2), 47-70.

· Shi, J., Zheng, M., Yao, L., & Ge, Y. (2018). 

Developing a healthcare Dataset Information Resource (DIR) based on semantic web
. 
BMC Medical Genomics, 
11(Suppl. 5), 1-14.

Producing Applications in Practice With Evidence-Based Information

· Ahmed, S., Seddawy, A. I. E., & Nasr, M. (2019). 

A proposed framework for detecting and predicting diseases through business intelligence applications
. 
International Journal of Advanced Networking and Applications, 
10(4), 3951-3957.

· Ismail, W. N., Hassan, M. M., Alsalamah, H. A., & Fortino, G. (2018, August 1). 

Mining productive-periodic frequent patterns in tele-health systems
. 
Journal of Network and Computer Applications, 
115, 33-47.

· Jones, M. (2019). 

What we talk about when we talk about (big) data
. 
Journal of Strategic Information Systems, 
28(1), 3-16.

· Soleimani-Roozbahani, F., Ghatari, A. R., & Radfar, R. (2019). 

Knowledge discovery from a more than a decade studies on healthcare big data systems: A scientometrics study
. 
Journal of Big Data, 
6(1), 1-15.

· Yoo, S., Kim, S., Kim, E., Jung, E., Lee, K., & Hwang, H. (2018). 

Real-time location system-based asset tracking in the healthcare field: Lessons learned from a feasibility study
. 
BMC Medical Informatics and Decision Making, 
18(80), 1-10.

Scope and Standards of Practice

· American Nurses Association. (2015). 


Nursing informatics:
 
Scope and standards of practice

 (2nd ed.)
. Author.