Publication date: Aug 08, 2019
With advances in technology, patients increasingly expect to access their health information on their phones and computers seamlessly, whenever needed.
|HIPAA||Electronic health records|
- Don Rucker, HHS – 2019 Stanford Medicine Big Data | Precision Health
- Allison Oelschlaeger, CMS – 2019 Stanford Medicine Big Data | Precision Health
- A clustering approach for detecting implausible observation values in electronic health records data.
- AI, augmented reality are tools, not the solution in medicine
- Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory.
- UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
- Challenges with quality of race and ethnicity data in observational databases.
- EHR analysis identifies patients at risk for HIV and drug candidates
- What’s being done to stop EHR data blocking?