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Information management

Proceedings from this two-day national forum on classification and information system related problems are provided. Topics discussed include: linking all the pieces; external and internal classification; classification data for planning; linking DOC to local jails; prison internal classification systems; automated risk and needs; AICS - personality based model; managing high risk offenders; responding to litigation; winning classification systems -- Montana; responding to litigation -- Michigan; classification of women offenders; BOP's work with revalidation and classification of women offenders; a dynamic instrument for women; reentry -- linking prison classification to reentry to the community; reentry -- incarceration planning; and wrap-up and next steps. Appendixes include presenter bios and contact information for all of the participants.

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“This report was designed as a resource for the justice and health fields to: Identify the full range of beneficial information exchanges between the criminal justice and healthcare systems; Provide detail on specific information exchanges within the context of routine criminal justice and health operations; Serve as a guide to policymakers and practitioners seeking to implement information exchange, by offering detail on workflow and implementation issues; and, Offer a “blueprint” to certain specific information exchanges through the development of technical use cases” (p. 13). Sections comprising this document are: executive summary—issue overview, key findings according to beneficial uses by the criminal justice system and by healthcare providers, types of information to be exchanged, and implementation of information exchange, and next steps; background; implementation issues and potential challenges—privacy and consent, technical considerations, cost, and organizational factors like trust and leadership; catalog of beneficial criminal justice and health information exchange—criminal justice and health connections Matrix, and 34 information exchange synopses; implementation scenarios for reentry into the community after incarceration, and community-based treatment with effective criminal justice supervision; and next step recommendations. Appendixes provide: a list of acronyms and abbreviations; contributors; Phase II recommendations; additional implementation challenges information (HIPAA, HITECH Act, and 42 CFR Part 2); related information, standards, and guidelines; and success stories for SMART and WITS, BHIPS/CMBHS, and the Hampton County Sheriff’s Department.

Opportunities for Information Sharing to Enhance Health and Public Safety Outcomes: A Report by the Criminal Justice and Health Collaboration Project, Version 1 Cover

The crafting of performance measures and those for criminal justice information sharing are discussed. “The guide helps managers, staff, and executives develop measures in two ways: by offering comments and advice on the process of developing measures, and by providing a catalog of workable examples for specific types of project” (p. 1). Nine chapters are contained in this publication: introduction—what performance measures are; which goals the project helps us achieve; how the project assists us in achieving our goals; what the best measures of the agency’s goals are; how performance measures can best be implemented; introduction to performance measures for criminal justice information sharing; summary of performance measures; project type examples from the Automated Fingerprint Identification System (AFIS) to the Warrant Depository; and how to use this guide and final thoughts. An appendix explains the Chain of Results and Logic Model.

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This document provides correctional facilities definitions and the rules for maintaining statistics for their institutions. Including, but not limited to, operational capacity, inmates, housed, inmates outsourced, male security staff, female security, institutional staff.

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PBMS is an automated web-based system developed by ASCA for collecting, managing, and sharing accurate adult prison-based corrections data that will enable timely and sound decision-making by correctional administrators to ensure institutional safety, to enhance the security of our facilities for prisoners and staff, and to maximize the effectiveness and efficiency of correctional resources. This manual provides the user all the tools necessary to use PBMS.

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"Organizations in both the health care and criminal justice fields have been using predictive analytics for a while, but predictive analytics are just beginning to be used in what may best be described as the hybrid field of health care and criminal justice. Predictive analytics are deployed in this hybrid field to anticipate the health needs of the justice-involved, and use this information to treat mental illness as well as other health problems. The underlying assumption is that these pre-emptive actions will reduce the risk of reoffending and reincarceration and thereby promote public safety. In the field of criminal justice, predictive analytics have already been shown to increase public safety through crime prevention" (p. 1). This issue paper presents three case studies showing how predictive analytics is being used by hybrid health and criminal justice systems. The case studies are: the Otsuka Digital Health (ODH) platform in Miami-Dade County used to divert the mentally ill from the local justice system; the utilization of Impact Pro by Centurion (the correctional health care provider for the states of Tennessee, Minnesota, Massachusetts, and Vermont) to treat incarcerated individuals; and the web-based RNR Simulation Tool which generates evidence-based treatment recommendations for the offender.

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This two-part series discussing issues and developments in the use of information technologies by inmates and offenders in the community. Part 1 looks at: the problems in general; access to computers; information from the internet; and the Trust Fund Limited Inmate Computer System (TRULINCS) used by federal prisons. Part 2 looks at supervised Internet access; cell phones and the Internet; parolees and the Internet; sex offenders and the Internet; and some suggestions for allowing limited electronic communication and Internet access.

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Work undertaken by the participating states is described, an outline of the fundamental tasks required for a revalidation effort is provided, and external classification trends and lessons learned from these classification reforms are summarized within this report (p. x). This report is comprised of the following sections: executive summary; introduction; NIC classification goals and objectives; description of the ten states' external classification initiatives (Virginia, Montana, Oregon, Oklahoma, Texas, Wyoming, Wisconsin, Delaware, Rhode Island, and Tennessee); recommended methodology for testing, implementing, and monitoring classification reforms; and common issues, problems and solutions, and next steps. Appendixes provide copies of external classification instruments validated by select states and statistical tables.

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This is a must read for anyone involved in working with a jail information system (JIS). “With the increasing focus on cost efficiency and the avoidance of wasteful spending, jail administrators must under¬stand the importance of the potential data at their disposal and strategically plan for faster and more effective forms of data collection, storage, and analysis. [This guide] encourages jail administrators to consider the design and implementation of a jail management information system (MIS) that is tailored to the specific needs of their institutions, is more cost-effective, and is easier to use. The data they are able to collect, store, analyze, and apply to the correctional setting translates to more effective jail management, more realistic short- and long-term goals, the ability to track trends, a more systematic way to measure performance outcomes for the institution and its staff, and pertinent information on the offender population” (p. v). Chapters comprising this manual are: why jails need to become intelligent; measurement of jail performance and key correctional policies; data that most jails are required to collect; data uses in policy analysis and organizational management; required skills for jail information systems; planning and developing information systems; implementing information systems; and requesting proposals for information system development and selecting vendors. Appendixes cover: what drives information needs; sample of a data dashboard; overcoming the hurdles of jail information systems; case example—Contra Costa Jail, Martinez, CA; case example-- Kent County Jail, Grand Rapids, MI; evaluating your JMS system support and usability features; and “Measuring What Matters”—Kent County Correctional Facility Annual Statistical Report (https://www.accesskent.com/Sheriff/pdfs/2012_Annual_Statistical_Report.pdf).

Running an Intelligent Jail: A Guide to the Development and Use of a Jail Information System cover

The utilization of a web-based Reusable Case Management System (RCMS) by the New York City Department of Probation to send judges offender reports prior to sentencing hearings is described. Not only are considerable amounts of paper, ink, energy, etc. being saved, but the rate of on-time delivery of reports is at 100%.

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