To decrease peak-hour patient wait times, a regional healthcare provider plans to launch an automated online triage system for its urgent care clinics. The system will evaluate walk-in patients upon arrival and redirect those with minor, non-emergency symptoms to scheduled telehealth consultations later the same day. Administrators reason that transferring a substantial portion of non-urgent visits away from physical clinics will alleviate waiting room overcrowding. Which of the following would be most useful to evaluate in determining whether the provider's plan will achieve its goal?
- Whether a significant proportion of patients redirected to telehealth consultations subsequently seek in-person clinic care during peak hours because their symptoms persist or require physical examinationCevap
- BWhether competing healthcare providers in neighboring districts plan to introduce similar automated triage software in their urgent care centers
- CWhether patient satisfaction ratings for telehealth visits are generally lower than ratings for traditional in-person physician examinations
- DWhether the licensing and ongoing software maintenance fee for the online triage system exceeds the initial budget allocated by administrators
- EWhether urgent care clinics experience higher total patient volume during weekend shifts than during weekday morning hours
Cevap
Evaluating whether redirected telehealth patients still end up visiting the clinic in person during peak hours is the most useful factor, as it determines whether the plan actually reduces clinic volume.
The correct option addresses whether the redirected patients actually stay out of the clinic during peak hours. If a high percentage of telehealth-redirected patients still end up visiting the clinic in person during peak hours because their condition requires physical examination, the plan will fail to alleviate peak-hour wait times. Conversely, if very few return, the plan will succeed. Passing this variance test makes this information essential for evaluating the plan.
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Evaluating Plan Efficacy and Variance Test
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