Corrections_Today_January_February_2019

Correctional Health Perspectives

Figure 4 — Operational analytics: BIU Readmissions

Time Period Number of Admissions

Number of Inmates readmitted

Percentage of Readmission

Mean LOS (in days)

Average time to Readmit (in days)

Number of Readmissions

Number of SMI

Percentage of SMI with Admission

Number of SMI Readmission

Percentage of Readmission with SMI

Mean LOS of SMI (in days)

Traditional AS (42 months)

347

136

39.19% 105.0

114.5

282

125

36.02%

63

46.32%

99.5

Expanded AS (26 months)

795

336

42.26%

39.1

80.4

603

294

36.98%

151

44.94%

53.1

BIU Programming (27 months )

113

23

20.35% 102.5

107.5

25

47

41.59%

13

56.2%

109.9

and accuracy of these predictive models continue to improve as data accumulates. This project highlights the use of analytics in analyzing and optimizing behavioral health pro- gramming. Analytics are established

as cost-effective tools in managing chronic medical illness in the com- munity. Given the increased rate of chronic illness in prison populations, these tools will be of great benefit in predicting, preventing and managing

illness in corrections patients. Analyt- ics suites will become essential tools for budgeting and projecting manpow- er needs in light of changing program requirements, housing requirements and medical requirements in the

Figure 5 — Actual AS admits (per month)

AS Admissions

90

80

Traditional AS

70

Expanded AS

60

BIU Program

50

40

30

20

10

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