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Big data, better hospitals

Big data, better hospitals

Overcrowding in hospitals is one of the biggest challenges facing our healthcare systems. In order to reduce hospital waiting times, the Patient Admission Prediction Tool (PAPT) uses historical data to predict how many patients are expected to arrive at the Emergency Department every day of the year.

Years

Strands

Proficiencies

7

8

9

10

11

number

algebra

statistics

understanding

problem solving

reasoning

 

Overcrowding in hospitals is one of the biggest challenges facing our healthcare systems. In order to reduce hospital waiting times, the Patient Admission Prediction Tool (PAPT) uses historical data to predict how many patients are expected to arrive at the Emergency Department every day of the year.

The PAPT is formulated by collecting and using vast data-sets about patient admissions and discharges. It is used by hospitals to manage their staff and physical resources. How accurate is it? Should all hospitals be using the PAPT?

Yes

Yes

Name Class Section Priority
Document Activity 4: Waiting, waiting - Spinners File 1
Document Big data better hospitals zip File 1