Corrections_Today_January_February_2019
Office of Correctional Health
3. Predicting and managing chronic behavioral illness by using analytics tools and techniques originally designed for predicting and manag- ing chronic medical illnesses yields meaningful insights of real importance to corrections professionals. 4. The positive impact of positive reinforcement and the result- ing decrease in misconduct is
measurable on an individual and system-wide level. 5. Predictive analytics are valu- able tools in planning and justifying resource allocation in the budgeting process of corrections programs. 6. Prescriptive analytics insights
What does the future hold for analytics in corrections? Advanced analytics suites such as Querent deliver improved predictions and insights by considering a broader range of variables from data and his- tory already collected by corrections organizations. These predictions adjust dynamically to changing treatment programs and are sensitive to chang- ing locations and populations. Insights
are essential information in making data-informed decisions in staffing and programming.
Figure 3 — Operational analytics: Establishment of the BIU system – Bed days
2923
Cumulative bed-days per month — Pre-BIU Program
Time Period
Expanded AS Traditional AS
2010
2011
2012
2013
2014
2015
2,923
2,591
2,152
2,482
2,391
2,275
2,215
2,119
2,070
2,014
2,106
1,879
1,868
1,838
1,836
1,843
1,833
1,726
1,741
1,719
1,724
1,691
1,674
1,665
1,667
1,672
1,652
1,657
1,662
1,627
1,609
1,618
1,594
331 1,321
1,165
1,061
562
146
Oct
Oct
Oct
Oct
Oct
Apr
Apr
Apr
Apr
Apr
Apr
Jun
Jun
Jun
Jun
Jun
Jun
Feb
Feb
Feb
Feb
Feb
Feb
Dec
Dec
Dec
Dec
Dec
Aug
Aug
Aug
Aug
Aug
Aug
Cumulative bed-days per month — BIU Program
2016
2017
2018
405
786 778 730 799 838
786
746 704 694 704 623
644 573
596 648 721 763 720
602 548
452 525
465
439 405 514
292
Jul
Jul
Oct
Oct
Apr
Apr
Jan
Jan
Jan
Jun
Jun
Feb
Feb
Feb
Sep
Nov
Dec
Sep
Nov
Dec
Aug
Aug
Mar
Mar
Mar
May
May
68 — January/February 2019 Corrections Today
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