Explain the measures and corresponding data

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Reference no: EM133122239

The patient is a 40-year-old female who presents to the emergency department for low back pain. The pain has been happening for 2 weeks and no injury has been noted. The patient has no history of previous low back pain. The emergency department immediately orders an MRI of the lumbar spine for low back pain. The patient waits in her room in the emergency department for 2 hours without anyone checking on her.

She is finally told that the in-house MRI is down for maintenance, so they schedule her appointment for another day. The patient is at the emergency department for more than 280 minutes from arrival to discharge.

Later, the patient goes to her appointment for her MRI at the radiology department. She has to register and provide all the same information that she has already given at the clinic regarding her history and other pertinent information. The patient's appointment was scheduled for 1 p.m., and at 1:45 p.m., and she still has not been called back. No one has updated her regarding the delay. Finally, the patient is taken back for her test at 2 p.m. and is not given any explanation for the delay except that they are short staffed. The patient is not happy about her experience at the radiology department.

The patient receives her Explanation of Benefits from her insurance and realizes that the test was not pre-certified correctly. Now she owes a large portion of the bill because the physician did not try other means, such as physical therapy, prior to receiving a costly MRI.

Analyzes the measures that have an effect on the facility in the scenario. Your paper should:

Explain the measures and corresponding data listed in the table.

Provide the data table listing the measures and corresponding data points within the presentation.

Analyze two sources, in addition to Hospital Compare, that you would use to find public information on facilities regarding the measures presented in the scenario.

Select one measure from the data table and analyze how the quality of this measure could affect the facility in the scenario.

Reference no: EM133122239

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