Driving reentry reform with quality real-time data and performance metrics.
The article focuses on enhancing reentry programs for formerly incarcerated individuals through the use of quality real-time data and performance metrics. It outlines five key support areas—housing, employment, education, healthcare, and social reintegration—and emphasizes the importance of data-dri...
| Publicado en: | Corrections Today Vol. 88; no. 2; pp. 28 - 34 |
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| Formato: | Artículo |
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American Correctional Association
Summer2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=194443374&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 194443374 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01902563 COR jtl: Corrections Today issn: 01902563 maglogo: N pubinfo: dt: Summer2026 vid: 88 iid: 2 pid: 1128 pub: American Correctional Association artinfo: ui: 194443374 ppf: 28 ppct: 6 formats: fmt: @attributes: type: P size: 437KB tig: atl: Driving reentry reform with quality real-time data and performance metrics. aug: au: KAVALA, SRINIVASU su: Recidivism Resource allocation Corrections (Criminal justice administration) Information sharing Key performance indicators (Management) Prediction models Real-time computing sug: subj: Recidivism Resource allocation Corrections (Criminal justice administration) Information sharing Federal correctional services Provincial correctional services Key performance indicators (Management) Prediction models Real-time computing ab: The article focuses on enhancing reentry programs for formerly incarcerated individuals through the use of quality real-time data and performance metrics. It outlines five key support areas—housing, employment, education, healthcare, and social reintegration—and emphasizes the importance of data-driven strategies to reduce recidivism, strengthen families, and support compliance with supervision conditions. The integration of digital case management systems and cross-agency data sharing improves coordination, accountability, and outcome measurement while safeguarding client privacy through secure technologies and ethical practices. Advanced analytics and predictive modeling are highlighted as future tools to tailor interventions, optimize resource allocation, and demonstrate cost-effectiveness to funders. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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