Use the resources linked below to help complete this assessment.
Collapse All
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.


(USA, AUS, UK & CA PhD. Writers)


The Best Custom Essay Writing Service

About Our Service

We are an online academic writing company that connects talented freelance writers with students in need of their services. Unlike other writing companies, our team is made up of native English speakers from countries such as the USA, UK, Canada, Australia, Ireland, and New Zealand.

Qualified Writers

  • At, most of our writers are degree-holding native speakers of English who are familiar with various writing styles. Our writers are proficient in many fields, including Economics, Business, Accounting, Finance, Medicine, Chemistry, Literature, Mathematics, Statistics, and many others.
  • Making our customers happy is an important part of our service. So do not be surprised if you get your paper well before the deadline!
  • We pay a lot of attention to ensuring that you get excellent customer service. You can contact our Customer Support Representatives 24/7. When you order from us, you can even track the progress of your paper as it is being written!
  • We are attentive to the needs of our customers. Therefore, we follow all your instructions carefully so that you can get the best paper possible.
  • It matters to us who writes for you, and we are serious about selecting the best candidates.
  • Our writers are always learning something new, so they are familiar with the latest developments in the scientific world and can write papers with updated information and the latest findings.

Our Guarantees:

  • Quality original papers that follow your instructions carefully.
  • On time delivery – you get the paper before the specified deadline.
  • Attentive Customer Support Representatives available 24/7.
  • Complete confidentiality – we do not share you details or papers with anybody else.