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Model Impaired Driver Access System (MIDAS). David Brown, UA Mike Carroll, AOC Allen Parrish, UA Rhonda Stricklin, UA Presentation to Traffic Record Forum Denver July 16, 2003. A Collaborative Project. NHTSA ADECA Alabama Department of Economic and Community Affairs AOC
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Model Impaired Driver Access System (MIDAS) David Brown, UA Mike Carroll, AOCAllen Parrish, UARhonda Stricklin, UA Presentation to Traffic Record ForumDenver July 16, 2003
A Collaborative Project • NHTSA • ADECA • Alabama Department of Economic and Community Affairs • AOC • Alabama Administrative Office of Courts • University of Alabama (UA) • Department of Computer Science • CARE Research and Development Laboratory
MIDAS Basic Concept • Provide a Statewide System that will … • Identify, evaluate and classify offenders • Maintain records forever for … • Evaluation and follow-up • Accessibility to all appropriate agencies statewide • Manage Impaired Driving Cases from • Arrest through the completion of sanctions • … and beyond • Core Human Component: CROs
Court Referral Officers (CROs) • Substance Abuse Professionals: • Attend court sessions • Determine appropriate treatments • Refer defendants to appropriate resources • Monitor defendants for compliance • Mandatory for Alcohol/Drug Cases • Program is Defendant Supported
MIDAS Overview CROs CROs CROs Agencies Case Management Case Management Treatments Assessment Administrative Components Statewide MIDAS Database LETS CARE AOC Staff Field Officers Research and Evaluation Person/Case Queries Critical Analysis Reporting Environment Law Enforcement Tactical System
MIDAS-LETS-CARE Integration • Impaired Driver (MIDAS) Database • Supports CRO administrative functions • Produces new source database • LETS Integration • Searches and record retrievals (no update) • Information accessible to field statewide • CARE Integration • To provide statistical analysis of new data • Evaluation and information mining
Three Phases (Years) • Phase 1 – Basic System Infrastructure • Administrative system • Data and information generation • Phase 2 – Improve Info Timeliness/Use • Integration with E-citation • Information delivery to field (LETS) • Phase 3 – Add Drug Courts
Data Flow Through Current System First Contact: Citation and Arrest Data Collection Local Court Pre-Trial Investigation Adjudication Court Referral Officer (CRO) Case Record Creation/Update Driver History Convicted Cases Data Entry Arrest Records CRO Records Legend: Manual Computerized Data Transition Data Store Like Visine: We Want to “Get the Red OUT.”
Data/Information Flow With MIDAS (Phase 1) First Contact: Citation and Arrest Data Collection Local Court Pre-Trial Investigation Adjudication Convicted Cases Data Entry Court Referral Officer (CRO) Case Record Creation/Update Driver History Criminal History CRO Records Assessment and Evaluation Research Legend: Manual Computerized Data Transition Data Store
Data/Information Flow After Phase 2 First Contact: Citation and Arrest Data Collection Local Court Pre-Trial Investigation Adjudication Court Referral Officer (CRO) Case Record Creation/Update Driver History Criminal History CRO Records Assessment and Evaluation Research Legend: Computerized Data Store
Data/Information Flow After Phase 3 First Contact: Citation and Arrest Data Collection Local Court Pre-Trial Investigation Adjudication Court Referral Officer (CRO) Case Record Creation/Update Driver History Criminal History CRO Records Drug Court Case Record Creation/ Update Assessment and Evaluation Research Legend: Computerized Data Store
MIDAS: Phase I • Focus: Providing Statewide System for CROs • Computerized case management • Automated assessment • referral to community treatment programs • Accounting management • Statewide sharing of data on offenders as appropriate • Current State • Isolated, non-integrated case management applications • No statewide sharing of data
MIDAS Phase I Goals • Capture NHTSA Core Data Elements • Automate CRO Activities • Statewide and Integrated • Case Management System • Support Broad Access • Sharing of Case Histories • Statistical Analysis
Improvements with MIDAS • Standardized Electronic Files • Eliminate Redundant Data Entry • Data Timeliness • Complete and Accurate Records • Web-Based: Instant Access Anywhere • Statewide Integration Between CROs • Integration: CRO Officers and Courts
Improvements with MIDAS • Continuous Tracking: DUI/Drug Offenders • CRO Access Statewide • DPS Checks Before Reinstatement • Info Sharing Between State Agencies • Statistical Analysis • Recidivism • Effectiveness of sanctions • Continuous system improvement