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DRUG RECOGNITION EXPERT DATA ENTRY & MANAGEMENT SYSTEM

DRUG RECOGNITION EXPERT DATA ENTRY & MANAGEMENT SYSTEM. HISTORY. Developed in 2013 in New York by the Institute For Traffic Safety Management & Research (ITSMR) Initial development funded by the NYS Governor’s Traffic Safety Committee A pplication licensed by ITSMR in Fall 2015

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DRUG RECOGNITION EXPERT DATA ENTRY & MANAGEMENT SYSTEM

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  1. DRUG RECOGNITION EXPERTDATA ENTRY&MANAGEMENT SYSTEM

  2. HISTORY • Developed in 2013 in New York by the Institute For Traffic Safety Management & Research (ITSMR) • Initial development funded by the NYS Governor’s Traffic Safety Committee • Application licensed by ITSMR in Fall 2015 • Currently utilized by 5 states – New York, Vermont, Connecticut, West Virginia, & Ohio. Massachusetts (next month) • 12 additional states have expressed interest in the system and are in various stages of the implementation process

  3. System objectives3 Distinct end users • Drug Recognition Experts (DREs) – Provide DREs with a tool to capture and store data elements from the Drug Influence Evaluation (facesheet), toxicology, and narrative report forms in real time. • Streamline the process for DREs – no duplicate work • State Coordinators – Provide a resource and management tool for program managers to improve the effectiveness of the state’s DRE program. • Researchers - Provide a robust Reporting, Query, and Analytic tool for long term program Evaluation.

  4. BENEFITS OF THE SYSTEM • Captures data electronically using either a tablet or web application & transmits it to a State specific DRE database. • Uploads data from state DRE database to national DRE database. • Includes comprehensive security features: • CJIS compliant • Fully encrypted data when transmitted • Both the Tablet and Application are username/password protected • Captures state specific data not collected by the National DRE database. • Provides a platform for future system enhancement!

  5. Functionality features • All relevant data associated with the Drug Influence Evaluation are captured within the DRE Data Entry & Management System. • Additional data elements are also captured at a State’s request. (i.e., medical marijuana) • The data collected are automatically transferred to the standardized Drug Influence Evaluation form.

  6. Data integrity • Drop down menus are prefilled with State specific information and promote uniformity • DREs • Agencies • Traffic Offenses • Yes, No, Present, None • They prevent variations in data from • Misspellings • Capitalization • Non-uniform responses

  7. Data integrity • Toxicology results are entered from the tablet and are appended to the associated Evaluation record. • This application feature captures: • Laboratory that performed the test • Test Date • Whether drugs or alcohol were found • Drug category and drug name

  8. Data integrity • When entering toxicology results, if the DRE selects Yes Drugs Found, additional fields are displayed to capture the drug information. • Menu is displayed for the DRE to select the drug category. • Depending on the drug category selected, a list of specific drugs within the category is displayed for selection.

  9. Data integrity • Edit and Error checks are built into the system. • Mandatory fields must be completed before an evaluation can be submitted to the database. • Edit checks have been added to ensure data integrity for many of the fields.

  10. Data integrity • Traffic ticket information is collected from the arresting officer. • Ticket information allows analysts to combine the initial reason for the vehicle stop with the DRE evaluation.

  11. Management consoleReal time data for program management • Since DREs are utilizing tablets to complete their evaluations, their data immediately populates the database and is accessible. • State Coordinators now have the ability to: • Monitor their DREs activity via a Management Console • View all Evaluations, Narratives, and Toxicology reports submitted by DREs • Managers view the actual work product, not raw numbers. • Export the table to a .csv file for a quick analysis.

  12. Management consoleReal time data for program management • State Coordinators have the ability to perform advanced searches as well. • Look at the work of a particular DRE • Select Date Ranges • Focus the search on the status of Evaluations, Narratives, or Toxicology entries.

  13. Management consoleReal time data for program management • The system provides the State Coordinator the ability to refine their focus. • Any field contained within the database can be utilized to refine a search. • This allows the State Coordinator to explore in detail: • How DREs are being used • To answer ANY questions they may have regarding DRE activity. • The possibilities are endless!!

  14. QUERY AND REPORTING Long term data for program analysis Raw data rather than the work product provided in the Management console. Evaluations • Characteristics of event • Geographic location • Time of day • Roadway type • Was there a crash involved? Injury? • Demographic characteristics of subject • Age, Sex, Race • Does the subject possess a medical marijuana card?

  15. QUERY AND REPORTING Long term data for program analysis Evaluations • Percentage of refusals • Refusal for BAC • Refusal for Chemical test • Length of time elapsed between arrest and DRE notification • Linking ticket information to evaluation data • Is there are a correlation between driving behavior and DRE observations during the evaluation? • Divided attention tests? • Eye exam? • Biological data? • Drug category?

  16. QUERY AND REPORTING Long term data for program analysis Toxicology • BAC level found • Class of drug & specific drug(s) found • Is drug category correlated to Age? Sex? Race? • Number of evaluations lacking a toxicology report • Length of time lapsed between the evaluation and the lab test date • Are there wide variations in processing times amongst the labs? • Results of evaluation - opinion of DRE • Does the evaluator’s opinion match the lab results?

  17. QUERY AND REPORTING Long term data for program analysis Program Management • How many evaluations conducted? • Who? • When? • Where? • How are DREs being funded during evaluations? • Crackdown periods • Overtime saturation patrols • Regular time • What’s the average length of time to complete an evaluation? • How many evaluations are the result of a referral from an ARIDE trained officer? • Quarterly and Annual statistics, including tables & graphs

  18. State of new Yorkdre evaluations A brief look at DRE evaluations conducted in the State of New York between 01/01/2015 – 12/31/2016

  19. State of new York01/2015 – 12/2016 • The focus of the remaining slides will be on the 2,855 Total Enforcement evaluations for 2015 & 2016.

  20. State of new York01/2015 – 12/2016

  21. State of New York01/2015 – 12/2016

  22. State of New York01/2015 – 12/2016

  23. BAC & BIOLOGICAL TESTS • From the 2,855 evals, 2,718 (95%) BACs were administered. • 2,327 (82%) Biological samples were taken. • 75 (3%) evaluations had neither a BAC nor Biological sample taken.

  24. BIOLOGICAL TESTS • Of the biological samples taken: • 1,141 were tested by a lab and entered in the system by DREs, • 1,151 are still waiting for lab results or for data entry by DREs. • 68% of the reports have been missing for more than 6 months. • 33% of the reports have been missing for more than 1 year.

  25. State of New York01/2015 – 12/2016

  26. State of New York01/2015 – 12/2016

  27. State of New York01/2015 – 12/2016 Drug category results for specimens tested. • 70% of specimens tested contained more than 1 drug • Cannabis was the drug of greatest frequency amongst males (38%). • CNS Depressants was the drug of greatest frequency amongst females (34%).

  28. Conclusion Garbage In  Garbage Out • The system provides the DRE with a tool to assist in the administration of the 12 step evaluation as well as improves their overall efficiency. • The system provides Program Managers the ability to monitor and manage the DRE program in REAL TIME. • The system provides researchers the ability to evaluate the program over time and to analyze trends. • The flexibility of the Rule Engine, Drop Down menus, and state specific customization provides ITSMR the ability to enhance data integrity and meet state specific reporting needs. • Good data coupled with effective program management and program evaluation equals greater program results!

  29. CONTACT INFORMATION Jerry Miller Project Director DRE Data Entry & Management System Institute for Traffic Safety Management & Research 80 Wolf Road – Suite 607 Albany, NY 12205 518-453-0291 ext 110 jmiller@itsmr.org

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