Probabilistic Models in Healthcare
ntroduction:
In this case study we are asked to observe the patient classification of a large healthcare system in PA. We are to observe patients in the emergency department. For this section, probabilistic views on patient classification are discussed. There are two types of patients we will be observing, the patients that are not seen and the patients admitted. The data calculations we will be comparing its arrival time, acuity level, emergency department duration, patient time, and distribution. Data can be sorted into a few categories, basic statistical data analysis, probability concepts, random variables, distributions and point inference.
Patient Classification
ED Duration
Explanation
The amount of minutes total the patient is at the emergency department.
Probabilities
Ed_Durtaion
Range Number
0-100
101-200
201-300
301-400
401-500
501-600
601-700
701-800
801-1000
1000+
Number of Patients
2114
5270
4699
2987
1601
Total Number of Patients
18332
18332
18332
18332
18332
18332
18332
18332
18332
18332
Probability Mass Function (PMF)
0.115317
0.287475
0.256328
0.162939
0.087334
0.040039
0.019583
0.009546