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The post-operative patient is still groggy and exhibiting snoring sounds with an oxygen saturation of 89-92% on 3L via NC. What action if any should be completed?

The nurse manager is developing an educational session for nursing staff on the components of informed consent and the information to be shared with a client to obtain informed consent. Which information should the nurse manager include in the session? (Select all that apply)

Table 4: Transactions Dataset Transaction dataset showing transaction IDs and itemsets for rule mining. Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d} Review Table 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the support for the rule {d} → {b}?

A client expresses fear before having elective surgery, stating to the nurse: “I am afraid that I will die in surgery like my mother did.” Which initial response by the nurse is appropriate?

The initial nursing assessment(s)  of an immediate post-op patient would be which of the following?

A client has not been able to void spontaneously 9 hours post-op-surgery .Which of the following should the nurse do next?

Signs the nurse would assess for if a pulmonary embolism was suspected would be which of the following?

Which of the conditions would the nurse need to report to the surgeon?

A patients per-op lab result the following (use Fig. 1). Based on these results the patient should be monitored for which of the following during the intra-operative and post-operative phase?   Fig.1 RB 5.9 Hct 51 Platelet 160K   CO2 24 BUN 31 Potassium 5.5   Hgb 16.4 WBC 8.2 BNP 100   Glucose 96 Creatinine 2.1 Sodium 142

Table 4: Transactions Dataset Transaction dataset showing transaction IDs and itemsets for rule mining. Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d} Review Table 4: Transactions Dataset. You are using rule mining on a large dataset, and the table is a part of the dataset. If the itemset {a,b,c,d} is determined to be frequent, which of the transactions in the table are also frequent?