Effect of Vocabulary Mapping for Conditions on Phenotype Cohorts
This on-demand webinar does not offer CE credit.
Lead author George Hripcsak will discuss this month's JAMIA Journal Club selection:
Hripcsak G, Levine ME, Shang N, Ryan PB. Effect of vocabulary mapping for conditions on phenotype cohorts. J Am Med Inform Assoc. 2018 Dec 1;25(12):1618-1625. doi: 10.1093/jamia/ocy124.
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Statement of Purpose
To combine data from multiple sources or databases, coded information is sometimes mapped to a common vocabulary so that future researchers can create simpler, more coherent phenotype definitions, saving time and perhaps improving accuracy because researchers may not be conversant with multiple vocabularies. The mapping, however, may lose information or introduce inaccuracies. Previous work has shown that mappings can indeed alter generated phenotype cohorts, although the results of the associated studies were unaffected by the mapping. Another study showed that mapping among vocabularies swaps classification hierarchies, again resulting in different cohorts.
Health informatics researchers will want to learn how Hripcsak, et al set out to study the effect on patient cohorts of mapping diagnosis codes from source billing vocabularies to a clinical vocabulary. If researchers find this approach generalizable, it may improve the efficiency and transportability of research.
The target audience for this activity is professionals and students interested in biomedical and health informatics.
The general learning objective for all of the JAMIA Journal Club webinars is that participants will
- Use a critical appraisal process to assess article validity and to gauge article findings' relevance to practice
After this live activity, the participant should be better able to:
- Weigh the benefits and challenges of using a research strategy that maps diagnosis codes from source billing vocabularies to a clinical vocabulary
No commercial support was received for this activity.
As a provider accredited by the ACCME, AMIA requires that everyone who is in a position to control the content of an educational activity disclose all relevant financial relationships with any commercial interest for 12 months prior to the educational activity.
The ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.
Faculty and planners who refuse to disclose relevant financial relationships will be disqualified from participating in the CME activity. For an individual with no relevant financial relationship(s), the participants must be informed that no conflicts of interest or financial relationship(s) exist.
AMIA uses a number of methods to resolve potential conflicts of interest, including: limiting content of the presentation to that which has been reviewed by one or more peer reviewers; ensuring that all scientific research referred to conforms to generally accepted standards of experimental design, data collection, and analysis; undertaking review of the educational activity by a content reviewer to evaluate for potential bias, balance in presentation, evidence-based content or other indicators of integrity, and absence of bias; monitoring the educational activity to evaluate for commercial bias in the presentation; and/or reviewing participant feedback to evaluate for commercial bias in the activity.
Disclosures for this Activity
These faculty, planners, and staff who are in a position to control the content of this activity disclose that they and their life partners have no relevant financial relationships with commercial interests:
JAMIA Journal Club Faculty: George Hripcsak
JAMIA Journal Club planners: Kelson Zawack, Tiffany J. Callahan
AMIA staff: Susanne Arnold, Pesha Rubinstein
JAMIA Student Editorial Board Advisor: Michael Chiang
JAMIA Journal Club planner Alejandro Schuler discloses that he is an employee of Kaiser Permanente