Do you need this or any other assignment done for you from scratch?
We have qualified writers to help you.
We assure you a quality paper that is 100% free from plagiarism and AI.
You can choose either format of your choice ( Apa, Mla, Havard, Chicago, or any other)
NB: We do not resell your papers. Upon ordering, we do an original paper exclusively for you.
NB: All your data is kept safe from the public.
Information Networks and Information Exchange, and The Role of Standard Terminol
Information Networks and Information Exchange, and The Role of Standard Terminology and Language in Informatics
Introduction:
Information systems/technology provide a mechanism to evaluate practice information systems and decision supports, and web-based learning or intervention tools to support and improve patient care and safety. This module will focus on understanding databases and clinical decision algorithms and how those tools benefit patient care scenarios and patient safety. The role of standardized languages in informatics will also be discussed.
Objectives:
Define the concept of health information networks
Differentiate between clinical-data networks and health information networks
Explain the value of interoperability for health information
Explain standardized healthcare terminology and its importance to nursing
Define the different types of terminology structures (NANDA, NIC, NOC, ICNP and SNOMED CT)
Describe how databases can be used in health care settings.
Describe basic principles of analytics for answering health care questions.
Reading and Lectures:
Hebda T., et al. Chapter 14 and 15
Articles:
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Islam, M. S., Hasan, M. M., Wang, X., Germack, H. D., & Noor-E-Alam, M. (2018). A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining. Healthcare (Basel, Switzerland), 6(2), 54. https://doi.org/10.3390/healthcare6020054
Ranji, S. R., Rennke, S., & Wachter, R. M. (2014). Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review. BMJ Qual Saf, 23(9), 773-780.
Lectures:
Chapter 14 and 15 Lectures
Websites to View:
Machine Learning in Health care https://www.healthcatalyst.com/clinical-applications-of-machine-learning-in-healthcare
Algorithms in Medicine https://www.youtube.com/watch?v=G1IsZeFR_Rk
Do you need this or any other assignment done for you from scratch?
We have qualified writers to help you.
We assure you a quality paper that is 100% free from plagiarism and AI.
You can choose either format of your choice ( Apa, Mla, Havard, Chicago, or any other)
NB: We do not resell your papers. Upon ordering, we do an original paper exclusively for you.
NB: All your data is kept safe from the public.
Place this order or similar order and get an amazing discount. USE Discount code “GET20” for 20% discount