Informationist Services for Deafness Research : A Case Study

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NLM Board of Regents, February 2013
NYU Health Sciences Library
NYU Langone Medical Center

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Informationist Services for Deafness Research : A Case Study

  1. 1. Informationist Services for Deafness Research: A Case Study Karen Hanson Theodora Bakker NYU Langone Medical Center, Health Sciences Library Presented: NLM Board of Regents, February 11, 2014
  2. 2. The Informationists Karen Hanson Knowledge Systems Librarian Theodora Bakker Assoc. Dir., Divisions of Knowledge Informatics, and Systems and Technology
  3. 3. NYU Langone Medical Center
  4. 4. Selecting Partners for Informationists Click for a video of Neil Rambo explaining the process of selection for Informationist proposals
  5. 5. Mario Svirsky & Arlene Neuman CLINICAL MANAGEMENT OF COCHLEAR IMPLANT PATIENTS WITH CONTRALATERAL HEARING AIDS
  6. 6. Mario Svirsky & Arlene Neuman Click for a for a video of the PIs explaining their underlying R01 project
  7. 7. INFORMATIONIST SUPPLEMENT
  8. 8. Specific Aims 1. Data Model, database and data entry 2. Reporting Queries 3. Tool
  9. 9. Approach •Document workflows and data •Analyze needs
  10. 10. Subjects Research team PIs
  11. 11. Subjects Research team PIs
  12. 12. Subjects Research team International researchers PIs
  13. 13. Current State of the Data: Model MS Excel data MS Access data International consortium data (Excel)
  14. 14. Current State of the Data: Content MS Excel data MS Access data International consortium data (Excel)
  15. 15. Current State of the Data: Data Fields MS Excel data MS Access data International consortium data (Excel) Date of Birth Date of Encounter Calculated Age Recorded Age
  16. 16. Creating a New Data Model
  17. 17. DATA TOOL
  18. 18. Tool Assessment Criteria • • • • • Support new data model Support complex reporting Usability HIPAA Future compatibility
  19. 19. Tool Evaluation Support data model Support complex reporting
  20. 20. Tool Evaluation Support data model Support complex reporting Usability Support data model
  21. 21. Tool Evaluation Support data model Support complex reporting Support data model Usability Future compatibility
  22. 22. Custom Tool Benefits • Meet all criteria • Web based • Add new features to improve data quality
  23. 23. Cleaner Data Entry •Picture of old form •Picture of new form
  24. 24. Cleaner Data Entry
  25. 25. Extra Validation, Audit
  26. 26. Autocomplete
  27. 27. Data Import
  28. 28. Built-in and Custom Reporting
  29. 29. Additional Filters
  30. 30. CHALLENGES & OPPORTUNITIES
  31. 31. Challenges: Domain Knowledge url: http://www.nidcd.nih.gov/health/hearing/pages/coch.aspx
  32. 32. Challenges: Creating New Tool
  33. 33. Challenges: the Model Before
  34. 34. Challenges: the Model After
  35. 35. Opportunities •Data sharing and cross collaboration •Value of complex Data Management •New role for Librarians
  36. 36. Thank You •NLM •NIDCD
  37. 37. Contact the Informationists •Karen Hanson Karen.Hanson@med.nyu.edu •Theodora Bakker Theodora.Bakker@med.nyu.edu

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