Author Question: In which instance is using the technique of data mining most appropriate? 1. To document quality ... (Read 59 times)

cagreen833 · **on:** Jul 7, 2018

In which instance is using the technique of data mining most appropriate?

1. To document quality improvement when problems are identified and targeted on a medical-surgical unit
2. To find the appropriate treatment for a client with advanced lung cancer
3. To identify an appropriate diagnosis for a client with undetermined signs and symptoms
4. To assist in the determination of the correct dose of medication to give a client in congestive heart failure

Question 2

A group of staff nurses working on the hospice unit have notoriously been opposed to technology use.

They assert technology is not essential for the care of people who are actively dying and have decided not to participate in the training process. What can be done by committee members to decrease resistance in this setting? 1. Data can be collected and stored electronically to develop evidence-based practice models which would be useful in alleviating the suffering of the dying.
2. Have the head nurse document the resistance in each person's file.
3. Have the director of human resources attend the next staff meeting to review position descriptions.
4. Terminate staff that refuse to participate in training.

akemokai · **Reply #1 on:** Jul 7, 2018

Answer to Question 1

1
Rationale: Data mining is a technique that is used to look for hidden patterns and relationships in large groups of data, not specific cases.

Answer to Question 2

1
Rationale: By appealing to the reasons for the resistance, which are unfounded, the staff can be educated to understand that data are the foundation of best practice models, thereby, improving care.