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healthcare · operations

Orchard Clinics — Wait Time and Satisfaction

Orchard Clinics compares average wait time with patient satisfaction across four locations. Orchard's lower wait and higher satisfaction make it a useful reference point, while Park prompts questions about scheduling, staffing and demand. The chart is intentionally limited to aggregated operational measures. It does not identify patients, diagnose service quality causes or substitute for a detailed access review. Leaders should confirm that every clinic uses the same wait-time definition and survey period before comparing positions. Equal bubble sizes keep the card readable; in a larger operational report, bubble size could represent visit volume to distinguish small clinics from high-throughput sites.

類型 散佈圖引擎 echarts-scatter更新時間 2026/9/24
Orchard Clinics: Wait Time and Satisfaction
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需求

“Create a bubble chart titled Orchard Clinics: Wait Time and Satisfaction. Use average wait in minutes on the x-axis and patient satisfaction percent on the y-axis. Label Orchard at 18, 92; Hill at 32, 81; Market at 24, 88; and Park at 41, 73. Use equal bubbles to compare clinics.”

接著試試Add Lake at 20 minutes and 90 percent satisfaction.Change the wait-time maximum to 60 minutes.
這張圖裡有什麼

看懂背後的決策。

01Define wait time

Use the same measurement period.

02Protect privacy

Show aggregated clinic data only.

03Investigate positions

Pair the chart with staffing context.

Use this example for operational discussion, not clinical decision-making.

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常見問題

常見問題

Is this patient-level data?

No. The example uses aggregate clinic measures only.

What does a lower x value mean?

It means a shorter average wait time.

Can visits be bubble size?

Yes, when aggregate visit volume adds useful context.