Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.
Ellen L PalmerJohn HigginsSaeed HassanpourJames SargentChristina M RobinsonJennifer A DohertyTracy OnegaPublished in: BMC medical informatics and decision making (2019)
We have demonstrated that our pipeline can extract smoking behaviors from unannotated EHR notes when the information is present. This information is reliable enough to identify patients most likely to be eligible for smoking related services. Ensuring capture of smoking information during clinical encounters should continue to be a high priority.
Keyphrases
- electronic health record
- clinical decision support
- smoking cessation
- end stage renal disease
- adverse drug
- health information
- healthcare
- primary care
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- mental health
- oxidative stress
- big data
- machine learning
- social media
- artificial intelligence
- anti inflammatory
- affordable care act