Differences in Orthopedic Clinics

Related BrainMass Solutions

• General Journal Entries for Tiffany's Orthopedic Clinic

  General Journal entries for Tiffany's Orthopedic Clinics are provided.

• Analyze “Urgent Care” human resource and staffing situations

  Larger clinics located in more populated areas will need to employ multiple full-time physicians because these clinics will be busier.

• Excel spreadsheet to format Jane Doe's medical expenses

  $90.00 4/8/2009 72040 Jane Doe Jefferson Orthopedic CL $102.00 4/17/2009 99214 Jane Doe Jefferson Orthopedic CL $125.00 Jefferson Orthopedic CL Total $632.00 7/26/2010 99203 Jane Doe Shannon Orthopedic CL $175.00 7/26/2010 73030 Jane

• Compare Costs under the ABC and Traditional Approach

  Service Hours Square Feet* Patients General surgery 2,500 500 400 Orthopedic surgery 7,500 1,000 100 *Orthopedic surgery requires more space for patients, supplies, and equipment Required 1.

• Test of hypothesis using ANOVA, Chi Square

  222779 1) One particular morning, the length of time spent in the examination rooms is recorded for each patient seen by each physician at an orthopedic clinic. Does the data prove a significant difference in mean times?

• Cost Drivers and Cost Allocation

  Calculations are formatted in the attached Excel file.

• Challenges Faced by a Health Care Organization (Betty Case Study)

  On Monday morning she called the orthopedic surgeon's office and was told the earliest appointment was Wednesday, as the doctor is never in until Wednesday. Betty went back to the ER on Monday because of increased pain and swelling.

• ANOVA for length of time spent in the examination rooms

  One particular morning, the length of time spent in the examination rooms is recorded for each patient seen by each physician at an orthopedic clinic. Does the data prove a significant difference in mean times?

• Confidence Interval

  
  
  in this case, alpha=.04, so this is a 96% confidence interval.
  
  The Academy of Orthopedic Surgeons states that 80 out of every 100 women wear shoes that are too small for their feet.