Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications.
J Am Med Inform Assoc
; 19(5): 713-8, 2012.
Article
em En
| MEDLINE
| ID: mdl-22582202
ABSTRACT
OBJECTIVE:
We describe a novel, crowdsourcing method for generating a knowledge base of problem-medication pairs that takes advantage of manually asserted links between medications and problems.METHODS:
Through iterative review, we developed metrics to estimate the appropriateness of manually entered problem-medication links for inclusion in a knowledge base that can be used to infer previously unasserted links between problems and medications.RESULTS:
Clinicians manually linked 231,223 medications (55.30% of prescribed medications) to problems within the electronic health record, generating 41,203 distinct problem-medication pairs, although not all were accurate. We developed methods to evaluate the accuracy of the pairs, and after limiting the pairs to those meeting an estimated 95% appropriateness threshold, 11,166 pairs remained. The pairs in the knowledge base accounted for 183,127 total links asserted (76.47% of all links). Retrospective application of the knowledge base linked 68,316 medications not previously linked by a clinician to an indicated problem (36.53% of unlinked medications). Expert review of the combined knowledge base, including inferred and manually linked problem-medication pairs, found a sensitivity of 65.8% and a specificity of 97.9%.CONCLUSION:
Crowdsourcing is an effective, inexpensive method for generating a knowledge base of problem-medication pairs that is automatically mapped to local terminologies, up-to-date, and reflective of local prescribing practices and trends.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Registros Médicos Orientados a Problemas
/
Quimioterapia Assistida por Computador
/
Bases de Conhecimento
/
Crowdsourcing
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
Limite:
Adolescent
/
Adult
/
Child
/
Humans
País/Região como assunto:
America do norte
Idioma:
En
Ano de publicação:
2012
Tipo de documento:
Article