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What would we do if on a winter afternoon, there is only one physician in the office. he must leave promptly at 3:45 because he is scheduled to give a lecture to medical students at a nearby hospital shortly after 4:00. the physician has been running behind because two extra patients have been worked into the schedule. at 2:30, in addition to three patients in the waiting room, he still has four established patients scheduled, as well as one new patient scheduled for 3:15, the last appointment of the day.

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Final answer:

In a situation where a physician is running behind schedule, action includes informing patients about delays, delegating tasks, and prioritizing by urgency. Statistics help manage and analyze waiting times in health care settings, using tools such as hypothesis testing for waiting time variance and exponential distributions for patient arrivals.

Step-by-step explanation:

If a physician is running behind in a medical office due to unscheduled patients, and they must leave at a specific time, there are several things that could be done to manage the situation. Some options may include:

  • Immediately informing waiting patients about the delay and potential rescheduling options.
  • Delegating tasks to other medical staff if possible.
  • Prioritizing patients by urgency of medical need.

To better understand waiting times and manage schedules, statistical analyses such as hypothesis testing for variance in waiting times or using exponential distribution to predict patient arrivals can be utilized.

For example, an urgent care facility with an average arrival rate of one patient every seven minutes would use exponential probability distribution for analyzing patient waiting times.

Statistics play a fundamental role in healthcare for planning and providing quality patient care. Analysis of waiting times through exponential distributions and percentiles, such as the 82nd percentile waiting time mentioned in one scenario, help in understanding and improving patient flow and satisfaction.

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