Model Impaired Driving Model Impaired Driving Records Information Records Information

SystemSystem

NHTSA DTNH22-98-D-45079NHTSA DTNH22-98-D-45079

Anne T. McCartt, PhDAnne T. McCartt, PhDPRG, Inc.PRG, Inc.

COTR: De Carlo Ciccel, NHTSACOTR: De Carlo Ciccel, NHTSA

In almost all jurisdictions in the U.S., basic information on

impaired driving offenses is difficult, if not impossible, to

obtain.

Project Plan

Review literature Site visits in four “best practices” states

Iowa New York New Jersey North Carolina

Review of model by expert panel How-to Guide

Key Stakeholders

Law Enforcement Agencies (LEAs)*

Department of Motor Vehicles (DMVs)*

Courts (including prosecution, probation, judges)*

Highway Safety Offices

Others: Treatment, Corrections, Criminal Justice, MADD, Legislature, etc.

Impaired Driving Records Information System

Totality of a state’s efforts to generate, transmit, store, update, link, manage, analyze, and report information on impaired driving offenders and citations.

Functions Supported

Appropriately identify, charge, and sanction impaired driving offenders, based on their driving history and statutes

Manage cases from arrest through the completion/non-completion of court and administrative sanctions

Identify target populations and trends, evaluate countermeasures, and identify weaknesses of the impaired driving system

Functions Supported (cont.)

Provide stakeholders with adequate and timely information to fulfill their responsibilities

Reduce administrative costs for system stakeholders and increase system efficiencies

State Differences

Government structure, especially court system Impaired driving laws

criminal/civil/traffic offense administrative penalties imposed by DMV definition of repeat offense

Access to public records, electronic signatures, etc. Telecommunications infrastructure Uniform traffic citation; number citations per arrest Interagency computer network

Features of Model System

1. Statewide coverage

2. Electronic access by LEAs and courts to current information on driver history, licensing status, vehicle, criminal history, and warrants, as applicable

3. Electronic citation system supporting license/registration technologies at roadside/station

4. Electronic citation tracking system – access to stakeholders by citation number and offender

5. Electronic reporting by LEAS and courts to DMVs

Features (cont.)

6. Electronic reporting by probation, treatment, corrections to DMVs and courts on compliance/non-compliance with sanctions

7. Linked data to provide a complete record for each offender, including driver history

8. Timely access to statistical aggregate data

9. Flexibility to support additional data and technological innovations

10. Compliance with national standards

11. Security and privacy safeguards

Key Benefits to State

Cost savings and reduced duplicative efforts by automating data entry and linking data systems

More efficient, better managed DMV, court, LEA operations

Appropriate and consistent charging and sanctioning Improved management and evaluation of overall

impaired driving system Improved targeting of countermeasures Citation accountability Heightened security

National Benefits

Better understanding of the scope and nature of impaired driving problem

Tracking progress

Developing better laws and programs

Supporting research and evaluation

Developing measures of efficiency and effectiveness

Core Data Elements from Existing Databases

Driver identifying information Driver license class, status, restrictions Vehicle registration information and status Relevant criminal history Outstanding warrants Driver history information – crashes, impaired

driving and traffic citations Outstanding citations or arrests

Examples of Core Data Elements Generated from Arrest

Arrest/citation information, e.g., date, time of day

Alcohol and/or drug test

Pre-conviction administrative penalties

Prosecution/adjudication process and outcomes, e.g., case disposition, penalties, etc.

Completion/non-completion of treatment/assessment, other court and administrative sanctions

Whether reinstated license

Data Entry, Storage, Transmission

Courts, DMVs, LEAs primary

Totally electronic systems to retrieve, enter, and transmit data

Menu pull downs and edit checks when creating records

Automatic population of forms

Audits of data timeliness, accuracy, completeness

Immediate access to DMV and court records

Easily understood summary of driver license data

Data Entry, Storage, Transmission(continued)

For court case tracking system, query capabilities by citation, offender, LEA, court, etc.

Ability to match multiple citations for same event

E-citation records integrated into court system within 48 business hours of issuance

DMV acceptance of citation or court data within 48 business hours of action by officer or court

Statistical Report Capabilities

Periodic standardized reports Simple ad hoc reports Numbers and rates Current and historical Statewide, by jurisdiction, by court or

LEA, etc. First and repeat offenders

Examples of Statistical Reporting

Characteristics of offenders Arrests and all adjudication outcomes by charge BAC refusals and test results Diversion/deferrals Referrals to treatment Above by 1st and repeat offenders

Data Warehouse

Draws from various data systems Links offender-based and case-based records User friendly access Single agency oversight Secure access Generates statistical information across

agencies and across impaired driving process Periodic standardized reports and special ad

hoc reports

State should consider:

Complexity of laws

Resources need for hardware and software, technical support, and training

Telecommunications infrastructure

Computer network

Degree of uniformity across agencies, forms, and processes

Inter/intra-organizational issues

Designing and Implementing Model

Convene interagency coordinating committee Designate lead agency Define agency roles/responsibilities Develop interagency cooperative agreements Develop impaired driving critical path Standardize processes, procedures, etc. Develop long-range plan Develop protocols to protect privacy and

security

Interstate Efforts Are Key to Take Advantage of Economies of Scale and

to Minimize Duplicative Efforts