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In the era of cloud computing bringing patient information from paper to electro
In the era of cloud computing bringing patient information from paper to electronic has opened avenues of collecting an intensive amount of data. Healthcare data involves a variety of complex steps to extrapolate valid data that supports evidence-based practices. The complexity of extrapolating data from multiple disciplines and interprofessional collaboration builds that foundation that contributes directly to the coordination of care. The disciplinary approach for understanding informatics is the data, information, knowledge, and wisdom (DIKW) paradigm, which is the knowledge of the core elements of informatics.
FIGURE 1-1 DIKW Model Reproduced with permission from Zer-Aviv, M., (January 31, 2014). Disinformation Visualization: How to lie with datavis. Retrieved from https://visualisingadvocacy.org/node/643.html
To make analytical decisions concerning health care information the data must be retrievable, accurate, relevant, verifiable, and timely. Informatics allows data to be extrapolated from different platforms providing the knowledge and giving insight to the wisdom when making decisions that support improved patient outcomes.
Before you begin, be sure you review the following resources:
Analytics Guys. (2020). Developing understanding using the DIKW pyramid.https://youtu.be/u9DoQ9gY4z4
Davis, Y. (2016, Oct 220. What is health informatics? [Video]. YouTube. https://youtu.be/oWHHhcW-Thw
Discussion Topic
For this week’s discussion review the two videos and discuss the process of DIKW to the following scenario.
Mike P. is a medical assistant who works in a small clinic providing patient check-ins, immunizations, and laboratory procedures. Today, Mike P. is screening a patient who has multiple health challenges – asthma, multiple sclerosis, kidney disease, and auditory deficit. The patient lives with his parents and presents today without hearing aids. Mike P prepares for screening the patient by review the patient’s record through EHR. He notes patient has not had a flu vaccine and needs an updated medication reconciliation. The clinical decision support system (CDSS) lists him as having an auditory deficit and requires sign language. As Mike P prepares to screen the patient, he calls the patient back to the screening room using sign language. Mike notices the patient is showing signs of respiratory difficulty and consults with the physician.
In your original post, answer the following:
Apply the DIKW to the above scenario, explaining each step in the DIKW paradigm.
How is this applicable to informatics and evidence-based practices?
Instructions
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Submission
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