Information Networks and Information Exchange, and The Role of Standard Terminol

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