Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processing.
AMIA Annu Symp Proc
; 2011: 768-76, 2011.
Article
em En
| MEDLINE
| ID: mdl-22195134
ABSTRACT
Knowledge of medication indications is significant for automatic applications aimed at improving patient safety, such as computerized physician order entry and clinical decision support systems. The Electronic Health Record (EHR) contains pertinent information related to patient safety such as information related to appropriate prescribing. However, the reasons for medication prescriptions are usually not explicitly documented in the patient record. This paper describes a method that determines the reasons for medication uses based on information occurring in outpatient notes. The method utilizes drug-indication knowledge that we acquired, and natural language processing. Evaluation showed the method obtained a sensitivity of 62.8%, specificity of 93.9%, precision of 90% and F-measure of 73.9%. This pilot study demonstrated that linking external drug indication knowledge to the EHR for determining the reasons for medication use was promising, but also revealed some challenges. Future work will focus on increasing the accuracy and coverage of the indication knowledge and evaluating its performance using a much larger set of drugs frequently used in the outpatient population.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Prescrições de Medicamentos
/
Processamento de Linguagem Natural
/
Padrões de Prática Médica
/
Inteligência Artificial
/
Registros Eletrônicos de Saúde
Idioma:
En
Ano de publicação:
2011
Tipo de documento:
Article