Oracle Health Sciences Central Coding | Oracle
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Oracle Health Sciences Central Coding

Oracle Health Sciences Central Coding is customizable, multilingual, Web-based coding and dictionary management software that can help alleviate the challenge of coding medical terms across clinical trial studies, regions, and languages. It provides greater efficiencies through coding process automation and is optimized to work with the Oracle Health Sciences GTM solution, Oracle’s industry-leading electronic data capture product, and the Oracle Health Sciences Clinitrial data management system.

  • Streamlines the coding process, increases coding consistency, and potentially drives down costs by allowing cross-trial coding and effectively managing multiple dictionaries and dictionary versions
  • Provides sponsors and clinical research organizations with a centralized means to code, review, resolve, and approve terms—all of which can happen simultaneously across staff, sites, trials, and locations
  • Enables clinical study sponsors to change the version of the dictionary that the study is coded against when a new version of a dictionary becomes available
  • Provides impact analysis features that allows medical teams to view dictionary changes, evaluate the impact on study data, and reconcile any differences to existing terms, codes and synonyms

BENEFITS

Efficiently Code Medical Terms Across Trials in a Single Environment

  • Code verbatims entered in any language across multiple trials
  • Search and sort across all character sets, including Japanese and Chinese
  • Review, resolve, and approve coded terms simultaneously, across staff, sites, trials, and locations
  • Support multi-lingual and multi-level dictionaries in English and Japanese, including WHO-Drug Dictionary (WHO-DD), the Medical Dictionary for Regulatory Affairs (MedDRA and MedDRA-J) and J-Drug
  • Configure to support hierarchically structured custom or proprietary dictionary formats

Reduce Manual Coding Efforts

  • Improve auto-code hit rate by leveraging robust algorithms, synonym lists, and propagation functions
  • Use auto-suggest to recommend a past coding choice for a new verbatim
  • Reduce manual coding efforts using auto-code, approve and populate functions
  • Increase the speed and accuracy of auto-coding using definable stop-word lists
  • Interface directly to the Oracle Health Sciences InForm environment for eCRF reference and query initiation

Effectively Manage Multiple Dictionary Versions

  • Easily manage multiple dictionaries and multiple dictionary versions
  • Update coded terms within a trial to a newer dictionary using impact analysis and reconciliation tools
  • Access complete audit history with a date and time stamp for all changes
  • Leverage ready-to-run reports for coding classification, consistency, coded items, and user report
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