Information system corrections
Development of outcome-based performance systems of management for correctional agencies has been an important initiative for the Association of State Correctional Administrators (ASCA) since the early 1990s. It was envisioned as a means of assessing performance across jurisdictions, promoting the use of performance-based management by correctional agencies, and improving the planning and management capacities of correctional organizations across the nation. Our specific project objectives were threefold: 1) identify a series of correctional measures that are considered to be the most crucial aspects of quality incarceration; 2) develop a set of indicators that reflect the essence of each measure; and, 3) define each indicator to allow for standard application of the measures across jurisdictions. Recognizing the complexity and scope of the potential performance measures for correctional agencies, for the purposes of this project, we focused on measures of public safety, institutional safety, treatment and programming, and contextual data. This report describes our work to date, identifies the performance indicators developed by the subcommittee, summarizes a preliminary assessment of state correctional agencies’ capacity to participate, and outlines the next steps for continued development of a national performance measurement system.
The effects of information technology (IT) and computation developments on prison classification productivity are examined (p. vi). Ten chapters follow an executive summary: current status of MIS (management information system) support for prison classification brief review; MIS software, IT and classification productivity; offender classification roles and data requirements; automated prison classification system features and functions; software design principles and the user interface; evaluating classification MIS; integrating criminal justice system MISs; new directions in classification factors and information content; advances in analytical capacities of IT to strengthen prison classification; and implementing new technology and managing change. Appendixes contain general inmate processing procedures for Department of Correction(s) (or Correctional Services) in Washington, Florida, New Jersey, North Carolina, South Carolina, New York, and Colorado.
Anyone who needs to gather and analyze data concerning various jail-related issues will find this manual useful. This document provides guidance on how information can fuel policy decision making. Chapters comprising this guide are: introduction; good management requires good information; information that should be collected; preparing for the data collection; how to locate and capture information; how to put it all together; how to analyze information; how to interpret information; sharing information with others; and getting the most from your information system. Appendixes include: a glossary of statistical terms for non-statisticians; annotated bibliography; manual data collection procedures and sample forms; inmate profile data collection; incident data code book sample; transport data collection; tables for determining sample size; simple random sampling; calculating the standard deviation; calculating Chi Square; and manual data display.
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.
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.