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Table 9. APRDRG mortality index by diagnosis clusters
Table of diagnosescluster by APRDRG_Risk_Mortality
diagnosescluster
APRDRG_Risk_Mortality(All Patient Refined DRG: Risk of Mortality Subclass)
Total
Frequency
Row Pct
Col Pct
0
1
2
3
4
1
0
0.00
0.00
16780
99.55
12.86
68
0.40
0.15
6
0.04
0.03
2
0.01
0.03
16856
2
5
0.09
5.21
5359
94.98
4.11
249
4.41
0.55
27
0.48
0.15
2
0.04
0.03
5642
3
30
0.14
31.25
20486
98.38
15.71
186
0.89
0.41
59
0.28
0.33
62
0.30
1.03
20823
4
2
0.01
2.08
12109
82.63
9.28
1747
11.92
3.82
647
4.42
3.67
149
1.02
2.48
14654
5
31
0.43
32.29
5501
76.60
4.22
1027
14.30
2.25
487
6.78
2.76
135
1.88
2.24
7181
6
7
0.02
7.29
22833
71.35
17.51
7542
23.57
16.51
1357
4.24
7.69
263
0.82
4.37
32002
7
13
0.03
13.54
19414
50.00
14.88
12444
32.05
27.24
5099
13.13
28.89
1860
4.79
30.91
38830
8
4
0.07
4.17
5311
87.61
4.07
640
10.56
1.40
91
1.50
0.52
16
0.26
0.27
6062
9
2
0.00
2.08
13343
28.32
10.23
20609
43.74
45.12
9677
20.54
54.84
3491
7.41
58.02
47122
10
2
0.02
2.08
9299
86.87
7.13
1169
10.92
2.56
197
1.84
1.12
37
0.35
0.61
10704
Total
96
130435
45681
17647
6017
199876
usIng text mIner to comPare ProvIder qualIty rankIngs
Again, we want to use the definition of a patient severity index to examine the quality of care. We look to
our examples of patients diagnosed with COPD, and also of patients undergoing cardiovascular bypass
surgery. If we use text analysis with just the COPD patients and the selected hospitals, we get the results
shown in Table 12. For this analysis, we restrict the number of our text clusters to just 5.
It is clear from table 12 that many of the patients suffer from heart conditions as well as COPD,
and are placed in cluster 5. Patients in cluster 4 also have problems with chemical dependency, while
patients in clusters 1 and 3 have pneumonia as well as COPD. In order to examine the data by hospital,
we first have to determine which cluster is the least severe, and which is the most severe. Table 13 has
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