Clinicians manage decision probabilities
This week, we explored the knowledge component of the DIKW model.
What ideas do you have for helping clinicians manage decision probabilities? Provide at least one example.
Outcomes
Utilize critical inquiry and judgment to evaluate the design, development, implementation, and outcomes of data management strategies for nursing and healthcare data. (PO 5)
Weekly Objectives
Describe the database structure via concept, logical, and physical models
Summarize the outcomes of the project
Synthesize personal insight from the project
Explain the impact of normalization on the proposed database
Synthesize contributions of the data-information-knowledge-wisdom model and database principles and practices to the support of evidence-based practice. (PO5)
Weekly Objectives
Conceptualize the applicability of the knowledge component of the DIKW model to nursing practice
Propose a method or approach to facilitate clinical nurses’ application of areas within the DIKW knowledge
Analyze the expression of data concepts and nursing concepts in data representations found in healthcare. (PO5)
Weekly Objectives
Develop relational tables for the proposed database, in the standard format, showing all usual content.
Relate the evidence-based problem or situation driving the database solution
Explain changes or absence of changes in the three questions originally posed for the database project
Describe database testing methods used, results, and impact on proposed database
Pneumonia/Abnormal Chest X-Ray
Pneumonia = A
Abnormal chest x-ray = B
The probability of the combined occurrence of pneumonia [A] and an abnormal chest x-ray [B] is equal to the probability of pneumonia [A] multiplied by the joint probability of an abnormal chest x-ray occurring with the presence of pneumonia divided by the probability of an abnormal chest x-ray.
Pneumonia/Abnormal Chest X-Ray
Pr (A and B) = Pr (A) x Pr (B and A) Pr (B)
PR(B)
(The top line is divided by probability of B)
Set the probability of pneumonia at .25 (25%).
Set the probability of an abnormal chest x-ray at .75 (75%).
Actual Probability
Pr A = .25; Pr B = .75
0.25 x (0.75 + 0.25) = 0.25 x 1.0 = 0.25 = 25%
There is a 25% probability that a patient with pneumonia will also have an abnormal chest x-ray.
Based on this statistic, would you order a chest x-ray on every pneumonia patient?
